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1 Commits
update-plu
...
add-zoom-p
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
38af47a177 |
@@ -7,16 +7,6 @@
|
||||
"email": "support@anthropic.com"
|
||||
},
|
||||
"plugins": [
|
||||
{
|
||||
"name": "adlc",
|
||||
"description": "Agentforce Agent Development Life Cycle — author, discover, scaffold, deploy, test, and optimize .agent files",
|
||||
"category": "development",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/SalesforceAIResearch/agentforce-adlc.git"
|
||||
},
|
||||
"homepage": "https://github.com/SalesforceAIResearch/agentforce-adlc"
|
||||
},
|
||||
{
|
||||
"name": "adspirer-ads-agent",
|
||||
"description": "Cross-platform ad management for Google Ads, Meta Ads, TikTok Ads, and LinkedIn Ads. 91 tools for keyword research, campaign creation, performance analysis, and budget optimization.",
|
||||
@@ -83,17 +73,6 @@
|
||||
},
|
||||
"homepage": "https://github.com/awslabs/agent-plugins"
|
||||
},
|
||||
{
|
||||
"name": "amplitude",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/amplitude/mcp-marketplace.git",
|
||||
"sha": "be54ccb66b10593721dd3a31e47b2db20ea02d2f"
|
||||
},
|
||||
"description": "Use Amplitude as an expert analyst — instrument Amplitude, discover product opportunities, analyze charts, create dashboards, manage experiments, and understand users and accounts.",
|
||||
"category": "monitoring",
|
||||
"homepage": "https://github.com/amplitude/mcp-marketplace"
|
||||
},
|
||||
{
|
||||
"name": "asana",
|
||||
"description": "Asana project management integration. Create and manage tasks, search projects, update assignments, track progress, and integrate your development workflow with Asana's work management platform.",
|
||||
@@ -168,39 +147,6 @@
|
||||
},
|
||||
"homepage": "https://github.com/awslabs/agent-plugins"
|
||||
},
|
||||
{
|
||||
"name": "azure-cosmos-db-assistant",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/AzureCosmosDB/cosmosdb-claude-code-plugin.git",
|
||||
"sha": "56e6da0cae93cdee8bcfa5e624ecdd9a0a483181"
|
||||
},
|
||||
"description": "Expert assistant for Azure Cosmos DB — data modeling, query optimization, performance tuning, and best practices.",
|
||||
"category": "database",
|
||||
"homepage": "https://github.com/AzureCosmosDB/cosmosdb-claude-code-plugin"
|
||||
},
|
||||
{
|
||||
"name": "base44",
|
||||
"description": "Build and deploy Base44 full-stack apps with CLI project management and JavaScript/TypeScript SDK development skills",
|
||||
"category": "development",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/base44/skills.git",
|
||||
"sha": "c7039b37eca0e2916a565a7395040c00055bcf8b"
|
||||
},
|
||||
"homepage": "https://docs.base44.com"
|
||||
},
|
||||
{
|
||||
"name": "box",
|
||||
"description": "Work with your Box content directly from Claude Code — search files, organize folders, collaborate with your team, and use Box AI to answer questions, summarize documents, and extract data without leaving your workflow.",
|
||||
"category": "productivity",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/box/box-for-ai.git",
|
||||
"sha": "6f4ec3549f3e869b115628403555b1c9220b2b34"
|
||||
},
|
||||
"homepage": "https://github.com/box/box-for-ai"
|
||||
},
|
||||
{
|
||||
"name": "brightdata-plugin",
|
||||
"description": "Web scraping, Google search, structured data extraction, and MCP server integration powered by Bright Data. Includes 7 skills: scrape any webpage as markdown (with bot detection/CAPTCHA bypass), search Google with structured JSON results, extract data from 40+ websites (Amazon, LinkedIn, Instagram, TikTok, YouTube, and more), orchestrate Bright Data's 60+ MCP tools, built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API, Python SDK best practices for the brightda...",
|
||||
@@ -211,17 +157,6 @@
|
||||
},
|
||||
"homepage": "https://docs.brightdata.com"
|
||||
},
|
||||
{
|
||||
"name": "cds-mcp",
|
||||
"description": "AI-assisted development of SAP Cloud Application Programming Model (CAP) projects. Search CDS models and CAP documentation.",
|
||||
"category": "development",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/cap-js/mcp-server.git",
|
||||
"sha": "4d59d7070a52761a9b8028cbe710c8d7477cbc92"
|
||||
},
|
||||
"homepage": "https://cap.cloud.sap/"
|
||||
},
|
||||
{
|
||||
"name": "chrome-devtools-mcp",
|
||||
"description": "Control and inspect a live Chrome browser from your coding agent. Record performance traces, analyze network requests, check console messages with source-mapped stack traces, and automate browser actions with Puppeteer.",
|
||||
@@ -296,17 +231,6 @@
|
||||
"category": "productivity",
|
||||
"homepage": "https://github.com/anthropics/claude-plugins-official/tree/main/plugins/claude-md-management"
|
||||
},
|
||||
{
|
||||
"name": "cloudflare",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/cloudflare/skills.git",
|
||||
"sha": "5ec03da67e230df52b698255c8e5979dc9b124b6"
|
||||
},
|
||||
"description": "Skills for the Cloudflare developer platform: Workers, Durable Objects, Agents SDK, MCP servers, Wrangler CLI, and web performance.",
|
||||
"category": "deployment",
|
||||
"homepage": "https://github.com/cloudflare/skills"
|
||||
},
|
||||
{
|
||||
"name": "cloudinary",
|
||||
"description": "Use Cloudinary directly in Claude. Manage assets, apply transformations, optimize media, and more through natural conversation.",
|
||||
@@ -460,18 +384,6 @@
|
||||
"category": "learning",
|
||||
"homepage": "https://github.com/anthropics/claude-plugins-public/tree/main/plugins/explanatory-output-style"
|
||||
},
|
||||
{
|
||||
"name": "expo",
|
||||
"description": "Official Expo skills for building, deploying, upgrading, and debugging React Native apps with Expo. Covers UI development with Expo Router, SwiftUI and Jetpack Compose components, Tailwind CSS setup, API routes, data fetching, CI/CD workflows, App Store and Play Store deployment, SDK upgrades, DOM components, and dev client distribution.",
|
||||
"category": "development",
|
||||
"source": {
|
||||
"source": "git-subdir",
|
||||
"url": "expo/skills",
|
||||
"path": "plugins/expo",
|
||||
"ref": "main"
|
||||
},
|
||||
"homepage": "https://github.com/expo/skills/blob/main/plugins/expo/README.md"
|
||||
},
|
||||
{
|
||||
"name": "fakechat",
|
||||
"description": "Localhost web chat for testing the channel notification flow. No tokens, no access control, no third-party service.",
|
||||
@@ -886,7 +798,8 @@
|
||||
"description": "Nimble web data toolkit — search, extract, map, crawl the web and work with structured data agents",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/Nimbleway/agent-skills.git"
|
||||
"url": "https://github.com/Nimbleway/agent-skills.git",
|
||||
"sha": "cf391e95bd8ac009e3641f172434a1d130dde7fe"
|
||||
},
|
||||
"homepage": "https://docs.nimbleway.com/integrations/agent-skills/plugin-installation"
|
||||
},
|
||||
@@ -1066,18 +979,6 @@
|
||||
},
|
||||
"homepage": "https://www.accoil.com/product-tracking"
|
||||
},
|
||||
{
|
||||
"name": "pydantic-ai",
|
||||
"description": "Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.",
|
||||
"category": "development",
|
||||
"source": {
|
||||
"source": "git-subdir",
|
||||
"url": "pydantic/skills",
|
||||
"path": "plugins/ai",
|
||||
"ref": "main"
|
||||
},
|
||||
"homepage": "https://github.com/pydantic/skills/tree/main/plugins/ai"
|
||||
},
|
||||
{
|
||||
"name": "pyright-lsp",
|
||||
"description": "Python language server (Pyright) for type checking and code intelligence",
|
||||
@@ -1213,7 +1114,7 @@
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "sanity",
|
||||
"name": "sanity-plugin",
|
||||
"description": "Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual Editing.",
|
||||
"category": "development",
|
||||
"author": {
|
||||
@@ -1278,17 +1179,6 @@
|
||||
"community-managed"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "session-report",
|
||||
"description": "Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects transcripts.",
|
||||
"author": {
|
||||
"name": "Anthropic",
|
||||
"email": "support@anthropic.com"
|
||||
},
|
||||
"source": "./plugins/session-report",
|
||||
"category": "productivity",
|
||||
"homepage": "https://github.com/anthropics/claude-plugins-official/tree/main/plugins/session-report"
|
||||
},
|
||||
{
|
||||
"name": "skill-creator",
|
||||
"description": "Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.",
|
||||
@@ -1316,7 +1206,8 @@
|
||||
"category": "security",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/SonarSource/sonarqube-agent-plugins.git"
|
||||
"url": "https://github.com/SonarSource/sonarqube-agent-plugins.git",
|
||||
"sha": "0cae644cee9318e6245b62ca779abdc60e6daa49"
|
||||
},
|
||||
"homepage": "https://github.com/SonarSource/sonarqube-agent-plugins"
|
||||
},
|
||||
@@ -1341,17 +1232,6 @@
|
||||
},
|
||||
"homepage": "https://sourcegraph.com"
|
||||
},
|
||||
{
|
||||
"name": "spotify-ads-api",
|
||||
"description": "Manage Spotify ad campaigns with natural language. Create campaigns, ad sets, ads, pull reports, and handle OAuth — all through conversation.",
|
||||
"category": "productivity",
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/spotify/ads-claude-plugin.git",
|
||||
"sha": "a4bce9912db071d47dfb410086a48004e0539efa"
|
||||
},
|
||||
"homepage": "https://github.com/spotify/ads-claude-plugin"
|
||||
},
|
||||
{
|
||||
"name": "stagehand",
|
||||
"description": "Browser automation skill for Claude Code using Stagehand. Automate web interactions, extract data, and navigate websites using natural language.",
|
||||
@@ -1567,9 +1447,13 @@
|
||||
"name": "zoom-plugin",
|
||||
"description": "Claude plugin for planning, building, and debugging Zoom integrations across REST APIs, SDKs, webhooks, bots, and MCP workflows.",
|
||||
"category": "development",
|
||||
"author": {
|
||||
"name": "Zoom"
|
||||
},
|
||||
"source": {
|
||||
"source": "url",
|
||||
"url": "https://github.com/zoom/zoom-plugin.git"
|
||||
"url": "https://github.com/zoom/zoom-plugin.git",
|
||||
"sha": "57b70d01f40ee8043a634fdf384e4e92d6cab12f"
|
||||
},
|
||||
"homepage": "https://developers.zoom.us/"
|
||||
}
|
||||
|
||||
7
external_plugins/slack/.claude-plugin/plugin.json
Normal file
7
external_plugins/slack/.claude-plugin/plugin.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"name": "slack",
|
||||
"description": "Slack workspace integration. Search messages, access channels, read threads, and stay connected with your team's communications while coding. Find relevant discussions and context quickly.",
|
||||
"author": {
|
||||
"name": "Slack"
|
||||
}
|
||||
}
|
||||
10
external_plugins/slack/.mcp.json
Normal file
10
external_plugins/slack/.mcp.json
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"slack": {
|
||||
"type": "http",
|
||||
"url": "https://mcp.slack.com/mcp",
|
||||
"oauth": {
|
||||
"clientId": "1601185624273.8899143856786",
|
||||
"callbackPort": 3118
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "telegram",
|
||||
"description": "Telegram channel for Claude Code \u2014 messaging bridge with built-in access control. Manage pairing, allowlists, and policy via /telegram:access.",
|
||||
"version": "0.0.5",
|
||||
"version": "0.0.4",
|
||||
"keywords": [
|
||||
"telegram",
|
||||
"messaging",
|
||||
|
||||
@@ -51,22 +51,6 @@ if (!TOKEN) {
|
||||
process.exit(1)
|
||||
}
|
||||
const INBOX_DIR = join(STATE_DIR, 'inbox')
|
||||
const PID_FILE = join(STATE_DIR, 'bot.pid')
|
||||
|
||||
// Telegram allows exactly one getUpdates consumer per token. If a previous
|
||||
// session crashed (SIGKILL, terminal closed) its server.ts grandchild can
|
||||
// survive as an orphan and hold the slot forever, so every new session sees
|
||||
// 409 Conflict. Kill any stale holder before we start polling.
|
||||
mkdirSync(STATE_DIR, { recursive: true, mode: 0o700 })
|
||||
try {
|
||||
const stale = parseInt(readFileSync(PID_FILE, 'utf8'), 10)
|
||||
if (stale > 1 && stale !== process.pid) {
|
||||
process.kill(stale, 0)
|
||||
process.stderr.write(`telegram channel: replacing stale poller pid=${stale}\n`)
|
||||
process.kill(stale, 'SIGTERM')
|
||||
}
|
||||
} catch {}
|
||||
writeFileSync(PID_FILE, String(process.pid))
|
||||
|
||||
// Last-resort safety net — without these the process dies silently on any
|
||||
// unhandled promise rejection. With them it logs and keeps serving tools.
|
||||
@@ -637,9 +621,6 @@ function shutdown(): void {
|
||||
if (shuttingDown) return
|
||||
shuttingDown = true
|
||||
process.stderr.write('telegram channel: shutting down\n')
|
||||
try {
|
||||
if (parseInt(readFileSync(PID_FILE, 'utf8'), 10) === process.pid) rmSync(PID_FILE)
|
||||
} catch {}
|
||||
// bot.stop() signals the poll loop to end; the current getUpdates request
|
||||
// may take up to its long-poll timeout to return. Force-exit after 2s.
|
||||
setTimeout(() => process.exit(0), 2000)
|
||||
@@ -649,19 +630,6 @@ process.stdin.on('end', shutdown)
|
||||
process.stdin.on('close', shutdown)
|
||||
process.on('SIGTERM', shutdown)
|
||||
process.on('SIGINT', shutdown)
|
||||
process.on('SIGHUP', shutdown)
|
||||
|
||||
// Orphan watchdog: stdin events above don't reliably fire when the parent
|
||||
// chain (`bun run` wrapper → shell → us) is severed by a crash. Poll for
|
||||
// reparenting (POSIX) or a dead stdin pipe and self-terminate.
|
||||
const bootPpid = process.ppid
|
||||
setInterval(() => {
|
||||
const orphaned =
|
||||
(process.platform !== 'win32' && process.ppid !== bootPpid) ||
|
||||
process.stdin.destroyed ||
|
||||
process.stdin.readableEnded
|
||||
if (orphaned) shutdown()
|
||||
}, 5000).unref()
|
||||
|
||||
// Commands are DM-only. Responding in groups would: (1) leak pairing codes via
|
||||
// /status to other group members, (2) confirm bot presence in non-allowlisted
|
||||
@@ -1007,15 +975,7 @@ void (async () => {
|
||||
})
|
||||
return // bot.stop() was called — clean exit from the loop
|
||||
} catch (err) {
|
||||
if (shuttingDown) return
|
||||
if (err instanceof GrammyError && err.error_code === 409) {
|
||||
if (attempt >= 8) {
|
||||
process.stderr.write(
|
||||
`telegram channel: 409 Conflict persists after ${attempt} attempts — ` +
|
||||
`another poller is holding the bot token (stray 'bun server.ts' process or a second session). Exiting.\n`,
|
||||
)
|
||||
return
|
||||
}
|
||||
const delay = Math.min(1000 * attempt, 15000)
|
||||
const detail = attempt === 1
|
||||
? ' — another instance is polling (zombie session, or a second Claude Code running?)'
|
||||
|
||||
@@ -1,202 +0,0 @@
|
||||
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
||||
|
||||
"Licensor" shall mean the copyright owner or entity authorized by
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||||
the copyright owner that is granting the License.
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||||
|
||||
"Legal Entity" shall mean the union of the acting entity and all
|
||||
other entities that control, are controlled by, or are under common
|
||||
control with that entity. For the purposes of this definition,
|
||||
"control" means (i) the power, direct or indirect, to cause the
|
||||
direction or management of such entity, whether by contract or
|
||||
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
||||
outstanding shares, or (iii) beneficial ownership of such entity.
|
||||
|
||||
"You" (or "Your") shall mean an individual or Legal Entity
|
||||
exercising permissions granted by this License.
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||||
|
||||
"Source" form shall mean the preferred form for making modifications,
|
||||
including but not limited to software source code, documentation
|
||||
source, and configuration files.
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||||
|
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"Object" form shall mean any form resulting from mechanical
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transformation or translation of a Source form, including but
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not limited to compiled object code, generated documentation,
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and conversions to other media types.
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||||
"Work" shall mean the work of authorship, whether in Source or
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Object form, made available under the License, as indicated by a
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||||
copyright notice that is included in or attached to the work
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(an example is provided in the Appendix below).
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||||
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"Derivative Works" shall mean any work, whether in Source or Object
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|
||||
editorial revisions, annotations, elaborations, or other modifications
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||||
represent, as a whole, an original work of authorship. For the purposes
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||||
of this License, Derivative Works shall not include works that remain
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||||
separable from, or merely link (or bind by name) to the interfaces of,
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the Work and Derivative Works thereof.
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"Contribution" shall mean any work of authorship, including
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the original version of the Work and any modifications or additions
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communication on electronic mailing lists, source code control systems,
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||||
2. Grant of Copyright License. Subject to the terms and conditions of
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||||
this License, each Contributor hereby grants to You a perpetual,
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||||
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||||
any Contribution intentionally submitted for inclusion in the Work
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||||
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||||
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||||
Notwithstanding the above, nothing herein shall supersede or modify
|
||||
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||||
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||||
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unless required by applicable law (such as deliberate and grossly
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END OF TERMS AND CONDITIONS
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APPENDIX: How to apply the Apache License to your work.
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To apply the Apache License to your work, attach the following
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Unless required by applicable law or agreed to in writing, software
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See the License for the specific language governing permissions and
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||||
limitations under the License.
|
||||
@@ -1,42 +0,0 @@
|
||||
---
|
||||
name: session-report
|
||||
description: Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.
|
||||
---
|
||||
|
||||
# Session Report
|
||||
|
||||
Produce a self-contained HTML report of Claude Code usage and save it to the current working directory.
|
||||
|
||||
## Steps
|
||||
|
||||
1. **Get data.** Run the bundled analyzer (default window: last 7 days; honor a different range if the user passed one, e.g. `24h`, `30d`, or `all`). The script `analyze-sessions.mjs` lives in the same directory as this SKILL.md — use its absolute path:
|
||||
```sh
|
||||
node <skill-dir>/analyze-sessions.mjs --json --since 7d > /tmp/session-report.json
|
||||
```
|
||||
For all-time, omit `--since`.
|
||||
|
||||
2. **Read** `/tmp/session-report.json`. Skim `overall`, `by_project`, `by_subagent_type`, `by_skill`, `cache_breaks`, `top_prompts`.
|
||||
|
||||
3. **Copy the template** (also bundled alongside this SKILL.md) to the output path in the current working directory:
|
||||
```sh
|
||||
cp <skill-dir>/template.html ./session-report-$(date +%Y%m%d-%H%M).html
|
||||
```
|
||||
|
||||
4. **Edit the output file** (use Edit, not Write — preserve the template's JS/CSS):
|
||||
- Replace the contents of `<script id="report-data" type="application/json">` with the full JSON from step 1. The page's JS renders the hero total, all tables, bars, and drill-downs from this blob automatically.
|
||||
- Fill the `<!-- AGENT: anomalies -->` block with **3–5 one-line findings**. Express figures as a **% of total tokens** wherever possible (total = `overall.input_tokens.total + overall.output_tokens`). One line per finding, exact markup:
|
||||
```html
|
||||
<div class="take bad"><div class="fig">41.2%</div><div class="txt"><b>cc-monitor</b> consumed 41% of the week across just 3 sessions</div></div>
|
||||
```
|
||||
Classes: `.take bad` for waste/anomalies (red), `.take good` for healthy signals (green), `.take info` for neutral facts (blue). The `.fig` is one short number (a %, a count, or a multiplier like `12×`). The `.txt` is one plain-English sentence naming the project/skill/prompt; wrap the subject in `<b>`. Look for: a project or skill eating a disproportionate share, cache-hit <85%, a single prompt >2% of total, subagent types averaging >1M tokens/call, cache breaks clustering.
|
||||
- Fill the `<!-- AGENT: optimizations -->` block (at the **bottom** of the page) with 1–4 `<div class="callout">` suggestions tied to specific rows (e.g. "`/weekly-status` spawned 7 subagents for 8.1% of total — scope it to fewer parallel agents").
|
||||
- Do not restructure existing sections.
|
||||
|
||||
5. **Report** the saved file path to the user. Do not open it or render it.
|
||||
|
||||
## Notes
|
||||
|
||||
- The template is the source of interactivity (sorting, expand/collapse, block-char bars). Your job is data + narrative, not markup.
|
||||
- Keep commentary terse and specific — reference actual project names, numbers, timestamps from the JSON.
|
||||
- `top_prompts` already includes subagent tokens and rolls task-notification continuations into the originating prompt.
|
||||
- If the JSON is >2MB, trim `top_prompts` to 100 entries and `cache_breaks` to 100 before embedding (they should already be capped).
|
||||
@@ -1,875 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
/* eslint-disable */
|
||||
/**
|
||||
* analyze-sessions.js
|
||||
*
|
||||
* Scans ~/.claude/projects/**.jsonl transcript files and reports token usage,
|
||||
* message counts, runtime, cache breaks, subagent and skill activity.
|
||||
*
|
||||
* Output is human-readable text by default; pass --json for machine-readable.
|
||||
*
|
||||
* Usage:
|
||||
* node scripts/analyze-sessions.js [--dir <projects-dir>] [--json] [--since <ISO|7d|24h>] [--top N]
|
||||
*
|
||||
* Notes on JSONL structure (discovered empirically):
|
||||
* - One API response is split into MULTIPLE `type:"assistant"` entries (one per
|
||||
* content block). They share the same `requestId` / `message.id`, and only the
|
||||
* LAST one carries the final `output_tokens`. We dedupe by requestId and keep
|
||||
* the max output_tokens to avoid 3-10x overcounting.
|
||||
* - `type:"user"` entries include tool_result messages, interrupt markers,
|
||||
* compact summaries and meta-injected text. A "human" message is one where
|
||||
* isSidechain/isMeta/isCompactSummary are falsy and the content is a plain
|
||||
* string (or text block) that isn't a tool_result or interrupt marker.
|
||||
* - Subagent transcripts live in <project>/<sessionId>/subagents/*.jsonl with a
|
||||
* sibling *.meta.json containing {agentType}. When meta is absent we fall back
|
||||
* to the filename label (`agent-a<label>-<hash>.jsonl` → label) or "fork".
|
||||
* - Resumed sessions can re-serialize prior entries into a new file; we dedupe
|
||||
* globally by entry `uuid` so replayed history isn't double-counted.
|
||||
*/
|
||||
|
||||
import fs from 'fs'
|
||||
import os from 'os'
|
||||
import path from 'path'
|
||||
import readline from 'readline'
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// CLI args
|
||||
// ---------------------------------------------------------------------------
|
||||
const argv = process.argv.slice(2)
|
||||
function flag(name, dflt) {
|
||||
const i = argv.indexOf(name)
|
||||
if (i === -1) return dflt
|
||||
const v = argv[i + 1]
|
||||
return v === undefined || v.startsWith('--') ? true : v
|
||||
}
|
||||
const ROOT = flag('--dir', path.join(os.homedir(), '.claude', 'projects'))
|
||||
const AS_JSON = argv.includes('--json')
|
||||
const TOP_N = parseInt(flag('--top', '15'), 10)
|
||||
const SINCE = parseSince(flag('--since', null))
|
||||
const CACHE_BREAK_THRESHOLD = parseInt(flag('--cache-break', '100000'), 10)
|
||||
const IDLE_GAP_MS = 5 * 60 * 1000 // gaps >5min don't count toward "active" time
|
||||
|
||||
function parseSince(s) {
|
||||
if (!s) return null
|
||||
const m = /^(\d+)([dh])$/.exec(s)
|
||||
if (m) {
|
||||
const ms = m[2] === 'd' ? 86400000 : 3600000
|
||||
return new Date(Date.now() - parseInt(m[1], 10) * ms)
|
||||
}
|
||||
const d = new Date(s)
|
||||
return isNaN(d) ? null : d
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Stats container
|
||||
// ---------------------------------------------------------------------------
|
||||
function newStats() {
|
||||
return {
|
||||
sessions: new Set(),
|
||||
apiCalls: 0,
|
||||
inputUncached: 0, // usage.input_tokens
|
||||
inputCacheCreate: 0, // usage.cache_creation_input_tokens
|
||||
inputCacheRead: 0, // usage.cache_read_input_tokens
|
||||
outputTokens: 0,
|
||||
humanMessages: 0,
|
||||
wallClockMs: 0,
|
||||
activeMs: 0,
|
||||
cacheBreaks: [], // [{ts, session, project, uncached, total}]
|
||||
subagentCalls: 0,
|
||||
subagentTokens: 0, // total (in+out) inside subagent transcripts
|
||||
skillInvocations: {}, // name -> count
|
||||
firstTs: null,
|
||||
lastTs: null,
|
||||
}
|
||||
}
|
||||
|
||||
function addUsage(s, u) {
|
||||
s.apiCalls++
|
||||
s.inputUncached += u.input_tokens || 0
|
||||
s.inputCacheCreate += u.cache_creation_input_tokens || 0
|
||||
s.inputCacheRead += u.cache_read_input_tokens || 0
|
||||
s.outputTokens += u.output_tokens || 0
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// File discovery
|
||||
// ---------------------------------------------------------------------------
|
||||
function* walk(dir) {
|
||||
let ents
|
||||
try {
|
||||
ents = fs.readdirSync(dir, { withFileTypes: true })
|
||||
} catch {
|
||||
return
|
||||
}
|
||||
for (const e of ents) {
|
||||
const p = path.join(dir, e.name)
|
||||
if (e.isDirectory()) yield* walk(p)
|
||||
else if (e.isFile() && e.name.endsWith('.jsonl')) yield p
|
||||
}
|
||||
}
|
||||
|
||||
function classifyFile(p) {
|
||||
// returns { project, sessionId, kind, agentId?, agentTypeHint? }
|
||||
// agentTypeHint is from meta.json or filename label; final type is resolved
|
||||
// in main() after the parent-transcript map is built.
|
||||
const rel = path.relative(ROOT, p)
|
||||
const parts = rel.split(path.sep)
|
||||
const project = parts[0]
|
||||
const subIdx = parts.indexOf('subagents')
|
||||
if (subIdx !== -1) {
|
||||
const sessionId = parts[subIdx - 1]
|
||||
const base = path.basename(p, '.jsonl')
|
||||
const agentId = base.replace(/^agent-/, '')
|
||||
return {
|
||||
project,
|
||||
sessionId,
|
||||
kind: 'subagent',
|
||||
agentId,
|
||||
agentTypeHint:
|
||||
inferAgentTypeFromMeta(p) || inferAgentTypeFromFilename(base),
|
||||
}
|
||||
}
|
||||
if (parts.includes('workflows')) {
|
||||
const sessionId = parts[1]
|
||||
return { project, sessionId, kind: 'subagent', agentTypeHint: 'workflow' }
|
||||
}
|
||||
const sessionId = path.basename(p, '.jsonl')
|
||||
return { project, sessionId, kind: 'main' }
|
||||
}
|
||||
|
||||
function inferAgentTypeFromMeta(jsonlPath) {
|
||||
const metaPath = jsonlPath.replace(/\.jsonl$/, '.meta.json')
|
||||
try {
|
||||
const m = JSON.parse(fs.readFileSync(metaPath, 'utf8'))
|
||||
if (m && typeof m.agentType === 'string') return m.agentType
|
||||
} catch {
|
||||
/* no meta */
|
||||
}
|
||||
return null
|
||||
}
|
||||
|
||||
function inferAgentTypeFromFilename(base) {
|
||||
// agentId = 'a' + hex16 OR 'a' + label + '-' + hex16 (src/utils/uuid.ts)
|
||||
const m = /^agent-a([a-zA-Z_][\w-]*?)-[0-9a-f]{6,}$/.exec(base)
|
||||
if (m) return m[1] // internal background fork label
|
||||
return null // unlabeled — resolve via agentIdToType map or default to 'fork'
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Per-file streaming parse
|
||||
// ---------------------------------------------------------------------------
|
||||
const seenUuids = new Set() // global dedupe across resumed sessions
|
||||
const seenRequestIds = new Set() // global dedupe for usage accounting
|
||||
const toolUseIdToType = new Map() // tool_use id -> subagent_type (from Agent/Task tool_use)
|
||||
const agentIdToType = new Map() // agentId -> subagent_type (linked via tool_result)
|
||||
const toolUseIdToPrompt = new Map() // tool_use id -> promptKey (Agent spawned during this prompt)
|
||||
const agentIdToPrompt = new Map() // agentId -> promptKey
|
||||
const prompts = new Map() // promptKey -> { text, ts, project, sessionId, ...usage }
|
||||
const sessionTurns = new Map() // sessionId -> [promptKey, ...] in transcript order
|
||||
const sessionSpans = new Map() // sessionId -> {project, firstTs, lastTs, tokens}
|
||||
|
||||
function promptRecord(key, init) {
|
||||
let r = prompts.get(key)
|
||||
if (!r) {
|
||||
r = {
|
||||
text: init.text,
|
||||
ts: init.ts,
|
||||
project: init.project,
|
||||
sessionId: init.sessionId,
|
||||
apiCalls: 0,
|
||||
subagentCalls: 0,
|
||||
inputUncached: 0,
|
||||
inputCacheCreate: 0,
|
||||
inputCacheRead: 0,
|
||||
outputTokens: 0,
|
||||
}
|
||||
prompts.set(key, r)
|
||||
}
|
||||
return r
|
||||
}
|
||||
|
||||
async function processFile(p, info, buckets) {
|
||||
const rl = readline.createInterface({
|
||||
input: fs.createReadStream(p, { encoding: 'utf8' }),
|
||||
crlfDelay: Infinity,
|
||||
})
|
||||
|
||||
// Per-file: dedupe API calls by requestId, keep the one with max output_tokens.
|
||||
// We collect first, then commit, because earlier blocks have stale output counts.
|
||||
const fileApiCalls = new Map() // key -> {usage, ts}
|
||||
let firstTs = null
|
||||
let lastTs = null
|
||||
let prevTs = null
|
||||
let activeMs = 0
|
||||
let currentSkill = null // skill attribution for this turn
|
||||
// Prompt attribution: in main files this is set on each human message; in
|
||||
// subagent files it's inherited from the spawning prompt (via agentIdToPrompt).
|
||||
let currentPrompt =
|
||||
info.kind === 'subagent' && info.agentId
|
||||
? agentIdToPrompt.get(info.agentId) || null
|
||||
: null
|
||||
|
||||
const project = buckets.project
|
||||
const overall = buckets.overall
|
||||
const subagent = buckets.subagent // may be null
|
||||
const skillStats = buckets.skillStats // map name -> stats
|
||||
|
||||
for await (const line of rl) {
|
||||
if (!line) continue
|
||||
let e
|
||||
try {
|
||||
e = JSON.parse(line)
|
||||
} catch {
|
||||
continue
|
||||
}
|
||||
|
||||
// global uuid dedupe (resumed sessions replay history)
|
||||
if (e.uuid) {
|
||||
if (seenUuids.has(e.uuid)) continue
|
||||
seenUuids.add(e.uuid)
|
||||
}
|
||||
|
||||
// timestamp tracking
|
||||
if (e.timestamp) {
|
||||
const ts = Date.parse(e.timestamp)
|
||||
if (!isNaN(ts)) {
|
||||
if (SINCE && ts < SINCE.getTime()) continue
|
||||
if (firstTs === null) firstTs = ts
|
||||
if (prevTs !== null) {
|
||||
const gap = ts - prevTs
|
||||
if (gap > 0 && gap < IDLE_GAP_MS) activeMs += gap
|
||||
}
|
||||
prevTs = ts
|
||||
lastTs = ts
|
||||
}
|
||||
}
|
||||
|
||||
if (e.type === 'user') {
|
||||
// Link Agent tool_result -> agentId for type + prompt attribution.
|
||||
const tur = e.toolUseResult
|
||||
if (tur && tur.agentId) {
|
||||
const c0 = Array.isArray(e.message?.content)
|
||||
? e.message.content[0]
|
||||
: null
|
||||
const tuid = c0 && c0.tool_use_id
|
||||
if (tuid) {
|
||||
const st = toolUseIdToType.get(tuid)
|
||||
if (st) agentIdToType.set(tur.agentId, st)
|
||||
const pk = toolUseIdToPrompt.get(tuid)
|
||||
if (pk) {
|
||||
agentIdToPrompt.set(tur.agentId, pk)
|
||||
const r = prompts.get(pk)
|
||||
if (r) r.subagentCalls++
|
||||
}
|
||||
}
|
||||
}
|
||||
handleUser(
|
||||
e,
|
||||
info,
|
||||
{ project, overall, subagent },
|
||||
v => {
|
||||
currentSkill = v
|
||||
},
|
||||
pk => {
|
||||
currentPrompt = pk
|
||||
},
|
||||
)
|
||||
continue
|
||||
}
|
||||
|
||||
if (e.type === 'assistant') {
|
||||
const msg = e.message || {}
|
||||
const usage = msg.usage
|
||||
// detect Skill / Agent tool calls in content
|
||||
if (Array.isArray(msg.content)) {
|
||||
for (const c of msg.content) {
|
||||
if (c && c.type === 'tool_use') {
|
||||
if (c.name === 'Skill' && c.input && c.input.skill) {
|
||||
const sk = String(c.input.skill)
|
||||
bumpSkill(overall, sk)
|
||||
bumpSkill(project, sk)
|
||||
if (subagent) bumpSkill(subagent, sk)
|
||||
currentSkill = sk
|
||||
}
|
||||
if (c.name === 'Agent' || c.name === 'Task') {
|
||||
if (c.input && c.input.subagent_type) {
|
||||
toolUseIdToType.set(c.id, String(c.input.subagent_type))
|
||||
}
|
||||
if (currentPrompt) toolUseIdToPrompt.set(c.id, currentPrompt)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (!usage) continue
|
||||
const key =
|
||||
e.requestId ||
|
||||
(msg.id && msg.id.startsWith('msg_0') && msg.id.length > 10
|
||||
? msg.id
|
||||
: null) ||
|
||||
`${p}:${e.uuid || ''}`
|
||||
const prev = fileApiCalls.get(key)
|
||||
if (
|
||||
!prev ||
|
||||
(usage.output_tokens || 0) >= (prev.usage.output_tokens || 0)
|
||||
) {
|
||||
fileApiCalls.set(key, {
|
||||
usage,
|
||||
ts: e.timestamp,
|
||||
skill: currentSkill,
|
||||
prompt: currentPrompt,
|
||||
})
|
||||
}
|
||||
continue
|
||||
}
|
||||
}
|
||||
|
||||
// commit timestamps
|
||||
if (firstTs !== null && lastTs !== null) {
|
||||
const wall = lastTs - firstTs
|
||||
for (const s of [overall, project, subagent].filter(Boolean)) {
|
||||
s.wallClockMs += wall
|
||||
s.activeMs += activeMs
|
||||
if (!s.firstTs || firstTs < s.firstTs) s.firstTs = firstTs
|
||||
if (!s.lastTs || lastTs > s.lastTs) s.lastTs = lastTs
|
||||
}
|
||||
}
|
||||
|
||||
// session span (for by_day timeline) — subagent files roll into parent sessionId
|
||||
let span = sessionSpans.get(info.sessionId)
|
||||
if (!span) {
|
||||
span = { project: info.project, firstTs: null, lastTs: null, tokens: 0 }
|
||||
sessionSpans.set(info.sessionId, span)
|
||||
}
|
||||
if (firstTs !== null) {
|
||||
if (span.firstTs === null || firstTs < span.firstTs) span.firstTs = firstTs
|
||||
if (span.lastTs === null || lastTs > span.lastTs) span.lastTs = lastTs
|
||||
}
|
||||
|
||||
// commit API calls
|
||||
for (const [key, { usage, ts, skill, prompt }] of fileApiCalls) {
|
||||
if (key && seenRequestIds.has(key)) continue
|
||||
seenRequestIds.add(key)
|
||||
|
||||
const tot =
|
||||
(usage.input_tokens || 0) +
|
||||
(usage.cache_creation_input_tokens || 0) +
|
||||
(usage.cache_read_input_tokens || 0) +
|
||||
(usage.output_tokens || 0)
|
||||
span.tokens += tot
|
||||
|
||||
const targets = [overall, project]
|
||||
if (subagent) targets.push(subagent)
|
||||
if (skill && skillStats) {
|
||||
if (!skillStats.has(skill)) skillStats.set(skill, newStats())
|
||||
targets.push(skillStats.get(skill))
|
||||
}
|
||||
for (const s of targets) addUsage(s, usage)
|
||||
|
||||
if (prompt) {
|
||||
const r = prompts.get(prompt)
|
||||
if (r) {
|
||||
r.apiCalls++
|
||||
r.inputUncached += usage.input_tokens || 0
|
||||
r.inputCacheCreate += usage.cache_creation_input_tokens || 0
|
||||
r.inputCacheRead += usage.cache_read_input_tokens || 0
|
||||
r.outputTokens += usage.output_tokens || 0
|
||||
}
|
||||
}
|
||||
|
||||
// subagent token accounting on parent buckets
|
||||
if (info.kind === 'subagent') {
|
||||
overall.subagentTokens += tot
|
||||
project.subagentTokens += tot
|
||||
if (subagent) subagent.subagentTokens += tot
|
||||
}
|
||||
|
||||
// cache break detection
|
||||
const uncached =
|
||||
(usage.input_tokens || 0) + (usage.cache_creation_input_tokens || 0)
|
||||
if (uncached > CACHE_BREAK_THRESHOLD) {
|
||||
const total = uncached + (usage.cache_read_input_tokens || 0)
|
||||
const cb = {
|
||||
ts,
|
||||
session: info.sessionId,
|
||||
project: info.project,
|
||||
uncached,
|
||||
total,
|
||||
kind: info.kind,
|
||||
agentType: info.agentType,
|
||||
prompt,
|
||||
}
|
||||
overall.cacheBreaks.push(cb)
|
||||
project.cacheBreaks.push(cb)
|
||||
if (subagent) subagent.cacheBreaks.push(cb)
|
||||
}
|
||||
}
|
||||
|
||||
// only count this file toward session/subagent tallies if it had in-range entries
|
||||
if (firstTs !== null || fileApiCalls.size > 0) {
|
||||
for (const s of [overall, project, subagent].filter(Boolean)) {
|
||||
s.sessions.add(info.sessionId)
|
||||
}
|
||||
if (info.kind === 'subagent') {
|
||||
overall.subagentCalls++
|
||||
project.subagentCalls++
|
||||
if (subagent) subagent.subagentCalls++
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function handleUser(
|
||||
e,
|
||||
info,
|
||||
{ project, overall, subagent },
|
||||
setSkill,
|
||||
setPrompt,
|
||||
) {
|
||||
if (e.isMeta || e.isCompactSummary) return
|
||||
const content = e.message && e.message.content
|
||||
let isToolResult = false
|
||||
let text = null
|
||||
if (typeof content === 'string') {
|
||||
text = content
|
||||
} else if (Array.isArray(content)) {
|
||||
const first = content[0]
|
||||
if (first && first.type === 'tool_result') isToolResult = true
|
||||
else if (first && first.type === 'text') text = first.text || ''
|
||||
}
|
||||
if (isToolResult) return
|
||||
|
||||
let slashCmd = null
|
||||
if (text) {
|
||||
// Auto-continuations (task notifications, scheduled wakeups) are not new
|
||||
// human prompts; keep attributing to the previously active prompt.
|
||||
if (
|
||||
text.startsWith('<task-notification') ||
|
||||
text.startsWith('<scheduled-wakeup') ||
|
||||
text.startsWith('<background-task')
|
||||
) {
|
||||
return
|
||||
}
|
||||
const m = /<command-(?:name|message)>\/?([^<]+)<\/command-/.exec(text)
|
||||
if (m) {
|
||||
slashCmd = m[1].trim()
|
||||
bumpSkill(overall, slashCmd)
|
||||
bumpSkill(project, slashCmd)
|
||||
if (subagent) bumpSkill(subagent, slashCmd)
|
||||
setSkill(slashCmd)
|
||||
} else {
|
||||
setSkill(null) // plain human message resets skill attribution
|
||||
}
|
||||
if (text.startsWith('[Request interrupted')) return
|
||||
}
|
||||
|
||||
// Only count as human message / start a prompt in main (non-sidechain) transcripts
|
||||
if (info.kind === 'main' && !e.isSidechain) {
|
||||
overall.humanMessages++
|
||||
project.humanMessages++
|
||||
const pk = e.uuid || `${info.sessionId}:${e.timestamp}`
|
||||
promptRecord(pk, {
|
||||
text: promptPreview(text, slashCmd),
|
||||
ts: e.timestamp,
|
||||
project: info.project,
|
||||
sessionId: info.sessionId,
|
||||
})
|
||||
setPrompt(pk)
|
||||
let turns = sessionTurns.get(info.sessionId)
|
||||
if (!turns) sessionTurns.set(info.sessionId, (turns = []))
|
||||
turns.push(pk)
|
||||
}
|
||||
}
|
||||
|
||||
function promptPreview(text, slashCmd) {
|
||||
if (slashCmd) return `/${slashCmd}`
|
||||
if (!text) return '(non-text)'
|
||||
const t = text
|
||||
.replace(/<[^>]+>/g, ' ')
|
||||
.replace(/\s+/g, ' ')
|
||||
.trim()
|
||||
return t.length > 240 ? t.slice(0, 237) + '…' : t
|
||||
}
|
||||
|
||||
// ±2 user messages around a given prompt, with the api-call count that
|
||||
// followed each one. Used for drill-down in the HTML report.
|
||||
function buildContext(pk) {
|
||||
const r = prompts.get(pk)
|
||||
if (!r) return null
|
||||
const turns = sessionTurns.get(r.sessionId)
|
||||
if (!turns) return null
|
||||
const i = turns.indexOf(pk)
|
||||
if (i === -1) return null
|
||||
const lo = Math.max(0, i - 2)
|
||||
const hi = Math.min(turns.length, i + 3)
|
||||
return turns.slice(lo, hi).map((k, j) => {
|
||||
const t = prompts.get(k) || {}
|
||||
return {
|
||||
text: t.text || '',
|
||||
ts: t.ts || null,
|
||||
calls: t.apiCalls || 0,
|
||||
here: lo + j === i,
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
function bumpSkill(s, name) {
|
||||
s.skillInvocations[name] = (s.skillInvocations[name] || 0) + 1
|
||||
}
|
||||
|
||||
const _btCache = new Map()
|
||||
function birthtime(p) {
|
||||
let t = _btCache.get(p)
|
||||
if (t === undefined) {
|
||||
try {
|
||||
t = fs.statSync(p).birthtimeMs
|
||||
} catch {
|
||||
t = 0
|
||||
}
|
||||
_btCache.set(p, t)
|
||||
}
|
||||
return t
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Main
|
||||
// ---------------------------------------------------------------------------
|
||||
async function main() {
|
||||
const overall = newStats()
|
||||
const perProject = new Map() // project -> stats
|
||||
const perSubagent = new Map() // agentType -> stats
|
||||
const perSkill = new Map() // skill -> stats (token-attributed)
|
||||
|
||||
// Classify, then sort main files before subagent files. Fork-style subagents
|
||||
// replay parent entries with identical uuids; processing parents first ensures
|
||||
// the global uuid-dedupe attributes those entries to the parent, not the fork.
|
||||
// Among subagents, sort by birthtime so a parent subagent is processed before
|
||||
// any nested children it spawned (needed for prompt-attribution propagation).
|
||||
const files = [...walk(ROOT)]
|
||||
.map(p => ({ p, info: classifyFile(p) }))
|
||||
.sort((a, b) => {
|
||||
const ka = a.info.kind === 'main' ? 0 : 1
|
||||
const kb = b.info.kind === 'main' ? 0 : 1
|
||||
if (ka !== kb) return ka - kb
|
||||
if (ka === 1) return birthtime(a.p) - birthtime(b.p)
|
||||
return 0
|
||||
})
|
||||
let n = 0
|
||||
for (const { p, info } of files) {
|
||||
if (!perProject.has(info.project)) perProject.set(info.project, newStats())
|
||||
const project = perProject.get(info.project)
|
||||
|
||||
let subagent = null
|
||||
if (info.kind === 'subagent') {
|
||||
// Resolve agent type: meta.json/filename hint > parent-transcript map > 'fork'
|
||||
const at =
|
||||
info.agentTypeHint ||
|
||||
(info.agentId && agentIdToType.get(info.agentId)) ||
|
||||
'fork'
|
||||
info.agentType = at
|
||||
if (!perSubagent.has(at)) perSubagent.set(at, newStats())
|
||||
subagent = perSubagent.get(at)
|
||||
}
|
||||
|
||||
await processFile(p, info, {
|
||||
overall,
|
||||
project,
|
||||
subagent,
|
||||
skillStats: perSkill,
|
||||
})
|
||||
n++
|
||||
if (!AS_JSON && n % 200 === 0) {
|
||||
process.stderr.write(`\r scanned ${n}/${files.length} files…`)
|
||||
}
|
||||
}
|
||||
if (!AS_JSON)
|
||||
process.stderr.write(`\r scanned ${n}/${files.length} files.\n`)
|
||||
|
||||
// Drop empty buckets (created for files that had no in-range entries under --since)
|
||||
for (const m of [perProject, perSubagent, perSkill]) {
|
||||
for (const [k, v] of m) {
|
||||
if (v.apiCalls === 0 && v.sessions.size === 0) m.delete(k)
|
||||
}
|
||||
}
|
||||
|
||||
if (AS_JSON) {
|
||||
printJson({ overall, perProject, perSubagent, perSkill })
|
||||
} else {
|
||||
printText({ overall, perProject, perSubagent, perSkill })
|
||||
}
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Output
|
||||
// ---------------------------------------------------------------------------
|
||||
function fmt(n) {
|
||||
if (n >= 1e9) return (n / 1e9).toFixed(2) + 'B'
|
||||
if (n >= 1e6) return (n / 1e6).toFixed(2) + 'M'
|
||||
if (n >= 1e3) return (n / 1e3).toFixed(1) + 'k'
|
||||
return String(n)
|
||||
}
|
||||
function pct(a, b) {
|
||||
return b > 0 ? ((100 * a) / b).toFixed(1) + '%' : '—'
|
||||
}
|
||||
function hrs(ms) {
|
||||
return (ms / 3600000).toFixed(1)
|
||||
}
|
||||
|
||||
function summarize(s) {
|
||||
const inTotal = s.inputUncached + s.inputCacheCreate + s.inputCacheRead
|
||||
return {
|
||||
sessions: s.sessions.size,
|
||||
api_calls: s.apiCalls,
|
||||
input_tokens: {
|
||||
uncached: s.inputUncached,
|
||||
cache_create: s.inputCacheCreate,
|
||||
cache_read: s.inputCacheRead,
|
||||
total: inTotal,
|
||||
pct_cached:
|
||||
inTotal > 0 ? +((100 * s.inputCacheRead) / inTotal).toFixed(1) : 0,
|
||||
},
|
||||
output_tokens: s.outputTokens,
|
||||
human_messages: s.humanMessages,
|
||||
hours: { wall_clock: +hrs(s.wallClockMs), active: +hrs(s.activeMs) },
|
||||
cache_breaks_over_100k: s.cacheBreaks.length,
|
||||
subagent: {
|
||||
calls: s.subagentCalls,
|
||||
total_tokens: s.subagentTokens,
|
||||
avg_tokens_per_call:
|
||||
s.subagentCalls > 0
|
||||
? Math.round(s.subagentTokens / s.subagentCalls)
|
||||
: 0,
|
||||
},
|
||||
skill_invocations: s.skillInvocations,
|
||||
span: s.firstTs
|
||||
? {
|
||||
from: new Date(s.firstTs).toISOString(),
|
||||
to: new Date(s.lastTs).toISOString(),
|
||||
}
|
||||
: null,
|
||||
}
|
||||
}
|
||||
|
||||
function printJson({ overall, perProject, perSubagent, perSkill }) {
|
||||
const out = {
|
||||
root: ROOT,
|
||||
generated_at: new Date().toISOString(),
|
||||
overall: summarize(overall),
|
||||
cache_breaks: overall.cacheBreaks
|
||||
.sort((a, b) => b.uncached - a.uncached)
|
||||
.slice(0, 100)
|
||||
.map(({ prompt, ...b }) => ({
|
||||
...b,
|
||||
context: prompt ? buildContext(prompt) : null,
|
||||
})),
|
||||
by_project: Object.fromEntries(
|
||||
[...perProject].map(([k, v]) => [k, summarize(v)]),
|
||||
),
|
||||
by_subagent_type: Object.fromEntries(
|
||||
[...perSubagent].map(([k, v]) => [k, summarize(v)]),
|
||||
),
|
||||
by_skill: Object.fromEntries(
|
||||
[...perSkill].map(([k, v]) => [k, summarize(v)]),
|
||||
),
|
||||
top_prompts: topPrompts(100),
|
||||
by_day: buildByDay(),
|
||||
}
|
||||
process.stdout.write(JSON.stringify(out, null, 2) + '\n')
|
||||
}
|
||||
|
||||
// Group sessions into local-date buckets for the timeline view. A session is
|
||||
// placed on the day its first message landed; tokens for that session (incl.
|
||||
// subagents) count toward that day even if it ran past midnight.
|
||||
function buildByDay() {
|
||||
const DOW = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat']
|
||||
const days = new Map() // yyyy-mm-dd -> {date, dow, tokens, sessions:[]}
|
||||
for (const [id, s] of sessionSpans) {
|
||||
if (s.firstTs === null || s.tokens === 0) continue
|
||||
const d0 = new Date(s.firstTs)
|
||||
const key = `${d0.getFullYear()}-${String(d0.getMonth() + 1).padStart(2, '0')}-${String(d0.getDate()).padStart(2, '0')}`
|
||||
let day = days.get(key)
|
||||
if (!day) {
|
||||
day = { date: key, dow: DOW[d0.getDay()], tokens: 0, sessions: [] }
|
||||
days.set(key, day)
|
||||
}
|
||||
const base = new Date(
|
||||
d0.getFullYear(),
|
||||
d0.getMonth(),
|
||||
d0.getDate(),
|
||||
).getTime()
|
||||
day.tokens += s.tokens
|
||||
day.sessions.push({
|
||||
id,
|
||||
project: s.project,
|
||||
tokens: s.tokens,
|
||||
start_min: Math.max(0, Math.round((s.firstTs - base) / 60000)),
|
||||
end_min: Math.max(1, Math.round((s.lastTs - base) / 60000)),
|
||||
})
|
||||
}
|
||||
for (const d of days.values()) {
|
||||
// peak concurrency via 10-min buckets, capped at 24h for display
|
||||
const b = new Array(144).fill(0)
|
||||
for (const s of d.sessions) {
|
||||
const lo = Math.min(143, Math.floor(s.start_min / 10))
|
||||
const hi = Math.min(144, Math.ceil(Math.min(s.end_min, 1440) / 10))
|
||||
for (let i = lo; i < hi; i++) b[i]++
|
||||
}
|
||||
d.peak = Math.max(0, ...b)
|
||||
d.peak_at_min = d.peak > 0 ? b.indexOf(d.peak) * 10 : 0
|
||||
d.sessions.sort((a, b) => a.start_min - b.start_min)
|
||||
}
|
||||
return [...days.values()].sort((a, b) => a.date.localeCompare(b.date))
|
||||
}
|
||||
|
||||
function promptTotal(r) {
|
||||
return (
|
||||
r.inputUncached + r.inputCacheCreate + r.inputCacheRead + r.outputTokens
|
||||
)
|
||||
}
|
||||
|
||||
function topPrompts(n) {
|
||||
return [...prompts.entries()]
|
||||
.filter(([, r]) => r.apiCalls > 0)
|
||||
.sort((a, b) => promptTotal(b[1]) - promptTotal(a[1]))
|
||||
.slice(0, n)
|
||||
.map(([pk, r]) => ({
|
||||
ts: r.ts,
|
||||
project: r.project,
|
||||
session: r.sessionId,
|
||||
text: r.text,
|
||||
api_calls: r.apiCalls,
|
||||
subagent_calls: r.subagentCalls,
|
||||
total_tokens: promptTotal(r),
|
||||
input: {
|
||||
uncached: r.inputUncached,
|
||||
cache_create: r.inputCacheCreate,
|
||||
cache_read: r.inputCacheRead,
|
||||
},
|
||||
output: r.outputTokens,
|
||||
context: buildContext(pk),
|
||||
}))
|
||||
}
|
||||
|
||||
function printText({ overall, perProject, perSubagent, perSkill }) {
|
||||
const line = (...a) => console.log(...a)
|
||||
const hr = () => line('─'.repeat(78))
|
||||
|
||||
line()
|
||||
line(`Claude Code session analysis — ${ROOT}`)
|
||||
if (SINCE) line(`(since ${SINCE.toISOString()})`)
|
||||
hr()
|
||||
printBlock('OVERALL', overall)
|
||||
|
||||
hr()
|
||||
line(
|
||||
`CACHE BREAKS (>${fmt(CACHE_BREAK_THRESHOLD)} uncached input on a single call)`,
|
||||
)
|
||||
const breaks = overall.cacheBreaks
|
||||
.sort((a, b) => b.uncached - a.uncached)
|
||||
.slice(0, TOP_N)
|
||||
if (breaks.length === 0) line(' none')
|
||||
for (const b of breaks) {
|
||||
line(
|
||||
` ${fmt(b.uncached).padStart(8)} uncached / ${fmt(b.total).padStart(8)} total ` +
|
||||
`${(b.ts || '').slice(0, 19)} ${b.project}` +
|
||||
(b.kind === 'subagent' ? ` [${b.agentType}]` : ''),
|
||||
)
|
||||
}
|
||||
if (overall.cacheBreaks.length > TOP_N)
|
||||
line(` … ${overall.cacheBreaks.length - TOP_N} more`)
|
||||
|
||||
hr()
|
||||
line(
|
||||
'MOST EXPENSIVE PROMPTS (total tokens incl. subagents spawned during the turn)',
|
||||
)
|
||||
const top = topPrompts(TOP_N)
|
||||
if (top.length === 0) line(' none')
|
||||
for (const r of top) {
|
||||
const inTot = r.input.uncached + r.input.cache_create + r.input.cache_read
|
||||
line(
|
||||
` ${fmt(r.total_tokens).padStart(8)} ` +
|
||||
`(in ${fmt(inTot)} ${pct(r.input.cache_read, inTot)} cached, out ${fmt(r.output)}) ` +
|
||||
`${r.api_calls} calls` +
|
||||
(r.subagent_calls ? `, ${r.subagent_calls} subagents` : '') +
|
||||
` ${(r.ts || '').slice(0, 16)} ${r.project}`,
|
||||
)
|
||||
line(` "${r.text}"`)
|
||||
}
|
||||
line(
|
||||
' (note: internal background forks like task_summary/compact are not attributed to a prompt)',
|
||||
)
|
||||
|
||||
hr()
|
||||
line('BY PROJECT (top by total input tokens)')
|
||||
const projects = [...perProject.entries()].sort(
|
||||
(a, b) => totalIn(b[1]) - totalIn(a[1]),
|
||||
)
|
||||
for (const [name, s] of projects.slice(0, TOP_N)) {
|
||||
printBlock(name, s, ' ')
|
||||
line()
|
||||
}
|
||||
if (projects.length > TOP_N)
|
||||
line(` … ${projects.length - TOP_N} more projects`)
|
||||
|
||||
hr()
|
||||
line('BY SUBAGENT TYPE')
|
||||
const agents = [...perSubagent.entries()].sort(
|
||||
(a, b) => totalIn(b[1]) - totalIn(a[1]),
|
||||
)
|
||||
for (const [name, s] of agents) {
|
||||
printBlock(name, s, ' ')
|
||||
line()
|
||||
}
|
||||
|
||||
hr()
|
||||
line(
|
||||
'BY SKILL / SLASH COMMAND (tokens attributed = from invocation until next human msg)',
|
||||
)
|
||||
const skills = [...perSkill.entries()].sort(
|
||||
(a, b) => totalIn(b[1]) - totalIn(a[1]),
|
||||
)
|
||||
for (const [name, s] of skills.slice(0, TOP_N)) {
|
||||
printBlock(name, s, ' ')
|
||||
line()
|
||||
}
|
||||
if (skills.length > TOP_N) line(` … ${skills.length - TOP_N} more`)
|
||||
line()
|
||||
}
|
||||
|
||||
function totalIn(s) {
|
||||
return s.inputUncached + s.inputCacheCreate + s.inputCacheRead
|
||||
}
|
||||
|
||||
function printBlock(title, s, indent = '') {
|
||||
const inTotal = totalIn(s)
|
||||
console.log(`${indent}${title}`)
|
||||
console.log(
|
||||
`${indent} sessions: ${s.sessions.size} api calls: ${s.apiCalls} human msgs: ${s.humanMessages}`,
|
||||
)
|
||||
console.log(
|
||||
`${indent} input: ${fmt(inTotal)} total ` +
|
||||
`(uncached ${fmt(s.inputUncached)}, cache-create ${fmt(s.inputCacheCreate)}, cache-read ${fmt(s.inputCacheRead)} = ${pct(s.inputCacheRead, inTotal)} cached)`,
|
||||
)
|
||||
console.log(`${indent} output: ${fmt(s.outputTokens)}`)
|
||||
console.log(
|
||||
`${indent} hours: ${hrs(s.wallClockMs)} wall-clock, ${hrs(s.activeMs)} active (gaps >5m excluded)`,
|
||||
)
|
||||
console.log(
|
||||
`${indent} cache breaks >${fmt(CACHE_BREAK_THRESHOLD)}: ${s.cacheBreaks.length}`,
|
||||
)
|
||||
console.log(
|
||||
`${indent} subagents: ${s.subagentCalls} calls, ${fmt(s.subagentTokens)} tokens, avg ${fmt(
|
||||
s.subagentCalls ? Math.round(s.subagentTokens / s.subagentCalls) : 0,
|
||||
)}/call`,
|
||||
)
|
||||
const topSkills = Object.entries(s.skillInvocations)
|
||||
.sort((a, b) => b[1] - a[1])
|
||||
.slice(0, 5)
|
||||
if (topSkills.length)
|
||||
console.log(
|
||||
`${indent} skills: ${topSkills.map(([k, v]) => `${k}×${v}`).join(', ')}`,
|
||||
)
|
||||
}
|
||||
|
||||
main().catch(e => {
|
||||
console.error(e)
|
||||
process.exit(1)
|
||||
})
|
||||
@@ -1,569 +0,0 @@
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
<title>claude usage</title>
|
||||
<link rel="preconnect" href="https://fonts.googleapis.com">
|
||||
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
||||
<link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;700&display=swap" rel="stylesheet">
|
||||
<style>
|
||||
:root {
|
||||
/* anthropic / claude-code palette */
|
||||
--ivory: #FAF9F5;
|
||||
--term-bg: #1a1918;
|
||||
--term-fg: #d1cfc5;
|
||||
--titlebar: #252321;
|
||||
--outline: rgba(255,255,255,0.08);
|
||||
--hover: rgba(255,255,255,0.035);
|
||||
--clay: #D97757;
|
||||
--dim: rgb(136,136,136);
|
||||
--subtle: rgb(80,80,80);
|
||||
--green: rgb(78,186,101);
|
||||
--red: rgb(255,107,128);
|
||||
--blue: rgb(177,185,249);
|
||||
--yellow: rgb(255,193,7);
|
||||
--mono: 'JetBrains Mono', 'SF Mono', ui-monospace, Menlo, Monaco, monospace;
|
||||
}
|
||||
|
||||
* { box-sizing: border-box; }
|
||||
html { background: var(--ivory); }
|
||||
body {
|
||||
margin: 0; padding: 48px 24px 80px;
|
||||
font: 13px/1.55 var(--mono);
|
||||
font-variant-numeric: tabular-nums;
|
||||
color: var(--term-fg);
|
||||
}
|
||||
|
||||
/* ——— terminal window chrome ——— */
|
||||
.term {
|
||||
max-width: 1180px; margin: 0 auto;
|
||||
background: var(--term-bg);
|
||||
border-radius: 8px;
|
||||
outline: 1px solid var(--outline);
|
||||
box-shadow: 0 20px 60px rgba(20,20,19,0.22);
|
||||
}
|
||||
.titlebar {
|
||||
background: var(--titlebar);
|
||||
border-radius: 8px 8px 0 0;
|
||||
border-bottom: 1px solid var(--outline);
|
||||
padding: 11px 14px;
|
||||
display: flex; align-items: center; gap: 7px;
|
||||
}
|
||||
.titlebar .dot { width: 11px; height: 11px; border-radius: 50%; background: #3a3836; }
|
||||
.titlebar .path { margin-left: 14px; color: var(--dim); font-size: 11px; }
|
||||
.term-body { padding: 22px 30px 30px; }
|
||||
|
||||
/* ——— command + hero ——— */
|
||||
.cmd { color: var(--dim); margin-bottom: 6px; }
|
||||
.cmd .prompt { color: var(--clay); }
|
||||
.cmd .flag { color: var(--blue); }
|
||||
#meta-line { color: var(--subtle); font-size: 11px; }
|
||||
|
||||
#hero { margin: 14px 0 6px; }
|
||||
#hero-total { font-size: 56px; font-weight: 700; line-height: 1; }
|
||||
#hero-total .unit { color: var(--clay); }
|
||||
#hero-total .label { font-size: 18px; font-weight: 400; color: var(--dim); margin-left: 8px; }
|
||||
#hero-split { color: var(--dim); margin-top: 8px; }
|
||||
#hero-split b { color: var(--term-fg); font-weight: 500; }
|
||||
#hero-split .ok { color: var(--green); }
|
||||
#hero-split .warn { color: var(--yellow); }
|
||||
|
||||
/* ——— sections ——— */
|
||||
section { margin-top: 26px; }
|
||||
.hr { color: var(--subtle); overflow: hidden; white-space: nowrap;
|
||||
user-select: none; margin-bottom: 8px; }
|
||||
.hr::after { content: '────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────'; }
|
||||
h2 { all: unset; display: block; color: var(--clay); font-weight: 500; }
|
||||
h2::before { content: '▸ '; }
|
||||
h2 .hint { color: var(--subtle); font-size: 11px; font-weight: 400; margin-left: 10px; }
|
||||
.section-body { margin-top: 10px; }
|
||||
|
||||
/* ——— overall stat grid ——— */
|
||||
#overall-grid { display: grid; gap: 4px 28px;
|
||||
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); }
|
||||
.stat { padding: 4px 0; }
|
||||
.stat .label { font-size: 11px; color: var(--dim); }
|
||||
.stat .val { font-size: 20px; font-weight: 500; }
|
||||
.stat .detail { font-size: 11px; color: var(--subtle); }
|
||||
|
||||
/* ——— takeaways ——— */
|
||||
.take { display: grid; grid-template-columns: 9ch 1fr; gap: 18px;
|
||||
padding: 6px 0; align-items: baseline; }
|
||||
.take .fig { text-align: right; font-weight: 700; font-size: 15px; }
|
||||
.take .txt { color: var(--dim); }
|
||||
.take .txt b { color: var(--term-fg); font-weight: 500; }
|
||||
.take.bad .fig { color: var(--red); }
|
||||
.take.good .fig { color: var(--green); }
|
||||
.take.info .fig { color: var(--blue); }
|
||||
|
||||
/* ——— callouts (recommendations) ——— */
|
||||
.callout { padding: 6px 0 6px 14px; border-left: 2px solid var(--subtle);
|
||||
color: var(--dim); margin: 6px 0; }
|
||||
.callout b, .callout code { color: var(--term-fg); }
|
||||
|
||||
/* ——— day pills + session gantt ——— */
|
||||
.days { display: flex; gap: 8px; flex-wrap: wrap; margin-bottom: 14px; }
|
||||
.dpill { flex: 1; min-width: 84px; max-width: 140px; background: none;
|
||||
border: 1px solid var(--subtle); border-radius: 4px;
|
||||
padding: 9px 6px; font: inherit; color: var(--dim);
|
||||
cursor: pointer; text-align: center; }
|
||||
.dpill:hover { border-color: var(--dim); background: var(--hover); }
|
||||
.dpill .dow { font-size: 10px; color: var(--subtle); display: block; }
|
||||
.dpill .date { font-size: 11px; color: var(--term-fg); font-weight: 500;
|
||||
display: block; margin: 2px 0 4px; }
|
||||
.dpill .pct { font-size: 16px; font-weight: 700; color: var(--term-fg); display: block; }
|
||||
.dpill .ns { font-size: 10px; color: var(--subtle); display: block; margin-top: 2px; }
|
||||
.dpill.heaviest .pct { color: var(--clay); }
|
||||
.dpill.sel { border-color: var(--clay); background: rgba(217,119,87,0.10); }
|
||||
.gantt-hd { display: flex; justify-content: space-between; align-items: baseline;
|
||||
margin-bottom: 6px; }
|
||||
.gantt-hd .day { color: var(--term-fg); font-weight: 500; }
|
||||
.gantt-hd .stats { font-size: 11px; color: var(--dim); }
|
||||
.gantt-hd .stats b { color: var(--clay); }
|
||||
.gantt { position: relative; border-top: 1px solid var(--outline);
|
||||
border-bottom: 1px solid var(--outline); min-height: 32px; }
|
||||
.lane { position: relative; height: 16px;
|
||||
border-bottom: 1px dashed rgba(255,255,255,0.04); }
|
||||
.seg { position: absolute; top: 2px; height: 12px; border-radius: 2px;
|
||||
opacity: .85; cursor: crosshair; }
|
||||
.seg:hover { opacity: 1; outline: 1px solid var(--term-fg); z-index: 2; }
|
||||
.gantt-rule { position: absolute; top: 0; bottom: 0; width: 0;
|
||||
border-left: 1px dashed var(--subtle); opacity: .4;
|
||||
pointer-events: none; }
|
||||
.gantt-axis { display: flex; justify-content: space-between;
|
||||
font-size: 10px; color: var(--subtle); padding: 4px 0; }
|
||||
.gantt-leg { font-size: 10px; color: var(--subtle); margin-top: 8px;
|
||||
display: flex; gap: 14px; flex-wrap: wrap; }
|
||||
.gantt-leg .sw { display: inline-block; width: 14px; height: 10px;
|
||||
border-radius: 2px; vertical-align: middle; margin-right: 4px; }
|
||||
|
||||
/* ——— block-char bars ——— */
|
||||
.bar { display: grid; grid-template-columns: 26ch 1fr 8ch; gap: 14px;
|
||||
padding: 2px 0; align-items: center; }
|
||||
.bar .name { overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
|
||||
.bar .blocks { color: var(--clay); white-space: pre; overflow: hidden; }
|
||||
.bar .blocks .empty { color: var(--subtle); }
|
||||
.bar .pct { text-align: right; color: var(--dim); }
|
||||
.bar:hover .name { color: var(--clay); }
|
||||
|
||||
/* ——— drill-down lists (top prompts, cache breaks) ——— */
|
||||
.drill details { border-top: 1px solid var(--outline); }
|
||||
.drill details:last-of-type { border-bottom: 1px solid var(--outline); }
|
||||
.drill summary { list-style: none; cursor: pointer;
|
||||
display: grid; grid-template-columns: 8ch 1fr; gap: 16px;
|
||||
padding: 9px 4px; align-items: baseline; }
|
||||
.drill summary::-webkit-details-marker { display: none; }
|
||||
.drill summary:hover { background: var(--hover); }
|
||||
.drill .amt { font-weight: 700; text-align: right; color: var(--clay); }
|
||||
.drill .desc { overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
|
||||
.drill .meta { grid-column: 2; font-size: 11px; color: var(--subtle); }
|
||||
.drill details[open] summary .desc { white-space: normal; }
|
||||
.drill .body { padding: 4px 4px 14px calc(8ch + 20px); font-size: 12px; color: var(--dim); }
|
||||
|
||||
/* ——— transcript context (±2 user msgs) — light inset for legibility ——— */
|
||||
.ctx { margin: 8px 0 12px; padding: 10px 14px;
|
||||
background: #F0EEE6; color: #1a1918;
|
||||
border-radius: 6px; font-size: 12px; }
|
||||
.ctx-msg { padding: 4px 0; white-space: pre-wrap; }
|
||||
.ctx-msg .who { color: #87867F; font-size: 11px; }
|
||||
.ctx-msg .ts { color: #87867F; font-size: 10px; margin-left: 8px; }
|
||||
.ctx-msg.here { margin: 2px -14px; padding: 6px 11px 6px 14px;
|
||||
border-left: 3px solid var(--clay);
|
||||
background: rgba(217,119,87,0.10); }
|
||||
.ctx-msg.here .who { color: var(--clay); font-weight: 500; }
|
||||
.ctx-gap { color: #87867F; font-size: 11px; padding: 3px 0 3px 7ch; }
|
||||
.ctx-gap::before { content: '⟨ '; }
|
||||
.ctx-gap::after { content: ' ⟩'; }
|
||||
.ctx-break { margin: 2px -14px; padding: 8px 11px 8px 14px;
|
||||
border-left: 3px solid #BD5E6D;
|
||||
background: rgba(189,94,109,0.12); color: #A63244; }
|
||||
.ctx-break b { color: #1a1918; margin-right: 6px; }
|
||||
|
||||
.more-btn { display: block; width: 100%; margin-top: 10px; padding: 9px;
|
||||
background: none; border: 1px dashed var(--subtle); cursor: pointer;
|
||||
font: 500 11px/1 var(--mono); letter-spacing: 0.06em;
|
||||
color: var(--dim); }
|
||||
.more-btn:hover { border-color: var(--dim); color: var(--term-fg); }
|
||||
|
||||
/* ——— tables ——— */
|
||||
.scroll { max-height: 440px; overflow: auto;
|
||||
border-top: 1px solid var(--outline); border-bottom: 1px solid var(--outline); }
|
||||
table { width: 100%; border-collapse: collapse; font-size: 12px; }
|
||||
th, td { text-align: left; padding: 6px 10px; }
|
||||
td { border-top: 1px solid rgba(255,255,255,0.04); }
|
||||
th { position: sticky; top: 0; background: var(--term-bg); z-index: 1;
|
||||
font-weight: 500; font-size: 11px; color: var(--subtle);
|
||||
cursor: pointer; user-select: none;
|
||||
border-bottom: 1px solid var(--outline); }
|
||||
th:hover { color: var(--dim); }
|
||||
th.sorted { color: var(--clay); }
|
||||
th.sorted::after { content: ' ↓'; }
|
||||
th.sorted.asc::after { content: ' ↑'; }
|
||||
td.num, th.num { text-align: right; }
|
||||
tbody tr:hover td { background: var(--hover); }
|
||||
|
||||
footer { margin-top: 28px; color: var(--subtle); font-size: 11px;
|
||||
display: flex; justify-content: space-between; gap: 16px; flex-wrap: wrap; }
|
||||
|
||||
code { color: var(--blue); }
|
||||
a { color: var(--clay); }
|
||||
::selection { background: var(--clay); color: var(--term-bg); }
|
||||
|
||||
@media (max-width: 760px) {
|
||||
body { padding: 20px 12px 48px; }
|
||||
.term-body { padding: 16px 16px 24px; }
|
||||
#hero-total { font-size: 40px; }
|
||||
.bar { grid-template-columns: 14ch 1fr 7ch; gap: 8px; }
|
||||
.drill summary { grid-template-columns: 6ch 1fr; }
|
||||
.drill .body { padding-left: 12px; }
|
||||
.take { grid-template-columns: 7ch 1fr; gap: 12px; }
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
<div class="term">
|
||||
<div class="titlebar">
|
||||
<span class="dot"></span><span class="dot"></span><span class="dot"></span>
|
||||
<span class="path" id="title-path">~/.claude — session-report</span>
|
||||
</div>
|
||||
<div class="term-body">
|
||||
|
||||
<div class="cmd"><span class="prompt">></span> claude usage <span id="cmd-flags"></span></div>
|
||||
<div id="meta-line">loading…</div>
|
||||
|
||||
<div id="hero">
|
||||
<div id="hero-total">—</div>
|
||||
<div id="hero-split"></div>
|
||||
</div>
|
||||
|
||||
<!-- ====================================================================
|
||||
FINDINGS — agent fills this. 3–5 one-line takeaways. Use .bad for
|
||||
waste/anomalies, .good for healthy signals, .info for neutral.
|
||||
==================================================================== -->
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>findings</h2>
|
||||
<div class="section-body" id="takeaways">
|
||||
<!-- AGENT: anomalies -->
|
||||
<div class="take"><div class="fig">—</div><div class="txt">No findings generated yet.</div></div>
|
||||
<!-- /AGENT -->
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- ====================================================================
|
||||
Everything below renders automatically from #report-data.
|
||||
==================================================================== -->
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>summary</h2>
|
||||
<div class="section-body" id="overall-grid"></div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>tokens by project<span class="hint">share of total</span></h2>
|
||||
<div class="section-body" id="project-bars"></div>
|
||||
</section>
|
||||
|
||||
<section id="timeline-section">
|
||||
<div class="hr"></div>
|
||||
<h2>session timeline by day<span class="hint">click a day · ←/→ to navigate</span></h2>
|
||||
<div class="section-body">
|
||||
<div class="days" id="day-pills"></div>
|
||||
<div class="gantt-hd">
|
||||
<span class="day" id="g-day">—</span>
|
||||
<span class="stats" id="g-stats"></span>
|
||||
</div>
|
||||
<div class="gantt-axis"><span>00:00</span><span>06:00</span><span>12:00</span><span>18:00</span><span>24:00</span></div>
|
||||
<div class="gantt" id="gantt"></div>
|
||||
<div class="gantt-leg" id="gantt-leg"></div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>most expensive prompts<span class="hint">click to expand context</span></h2>
|
||||
<div class="section-body drill" id="top-prompts"></div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>cache breaks<span class="hint">>100k uncached · click for context</span></h2>
|
||||
<div class="section-body drill" id="cache-breaks"></div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>projects</h2>
|
||||
<div class="section-body scroll"><table id="tbl-projects"></table></div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>subagent types</h2>
|
||||
<div class="section-body scroll"><table id="tbl-subagents"></table></div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>skills & slash commands</h2>
|
||||
<div class="section-body scroll"><table id="tbl-skills"></table></div>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<div class="hr"></div>
|
||||
<h2>recommendations</h2>
|
||||
<div class="section-body">
|
||||
<!-- AGENT: optimizations -->
|
||||
<div class="callout">No suggestions generated yet.</div>
|
||||
<!-- /AGENT -->
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<footer>
|
||||
<span id="foot-gen"></span>
|
||||
<span id="foot-stats"></span>
|
||||
</footer>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- ========================================================================
|
||||
DATA — agent replaces the {} below with the full --json output.
|
||||
======================================================================== -->
|
||||
<script id="report-data" type="application/json">{}</script>
|
||||
|
||||
<script>
|
||||
(function() {
|
||||
const DATA = JSON.parse(document.getElementById('report-data').textContent || '{}');
|
||||
const $ = id => document.getElementById(id);
|
||||
const fmt = n => n>=1e9 ? (n/1e9).toFixed(2)+'B' : n>=1e6 ? (n/1e6).toFixed(2)+'M'
|
||||
: n>=1e3 ? (n/1e3).toFixed(1)+'k' : String(n);
|
||||
const pct = (a,b) => b>0 ? ((100*a/b).toFixed(1)+'%') : '—';
|
||||
const esc = s => String(s).replace(/[&<>"]/g, c =>
|
||||
({'&':'&','<':'<','>':'>','"':'"'}[c]));
|
||||
const short = p => String(p||'').replace(/^-Users-[^-]+-/,'').replace(/^code-/,'');
|
||||
const MON = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'];
|
||||
const niceDate = iso => { const d = new Date(iso); return isNaN(d) ? '' :
|
||||
`${MON[d.getMonth()]} ${d.getDate()} · ${String(d.getHours()).padStart(2,'0')}:${String(d.getMinutes()).padStart(2,'0')}`; };
|
||||
|
||||
if (!DATA.overall) { $('meta-line').textContent = 'no data — embed JSON in #report-data.'; return; }
|
||||
|
||||
// header + hero
|
||||
const o = DATA.overall, it = o.input_tokens;
|
||||
const GRAND = it.total + o.output_tokens;
|
||||
const share = n => GRAND>0 ? (100*n/GRAND).toFixed(1)+'%' : '—';
|
||||
const span = o.span;
|
||||
$('cmd-flags').innerHTML = DATA.since
|
||||
? `<span class="flag">--since</span> ${esc(DATA.since)}` : '';
|
||||
$('meta-line').textContent =
|
||||
(span ? `${span.from.slice(0,10)} → ${span.to.slice(0,10)}` : '') +
|
||||
` · ${DATA.root || ''}`;
|
||||
$('foot-gen').textContent = `generated ${DATA.generated_at?.slice(0,16).replace('T',' ') || ''}`;
|
||||
$('foot-stats').textContent =
|
||||
`${o.sessions} sessions · ${o.api_calls} api calls · ${o.human_messages} prompts`;
|
||||
|
||||
const num = fmt(GRAND), m = num.match(/^([\d.]+)([A-Za-z]*)$/);
|
||||
$('hero-total').innerHTML =
|
||||
`${m?m[1]:num}<span class="unit">${m?m[2]:''}</span><span class="label">tokens</span>`;
|
||||
const cacheCls = it.pct_cached>=85 ? 'ok' : 'warn';
|
||||
$('hero-split').innerHTML =
|
||||
`<b>${fmt(it.total)}</b> input <span class="${cacheCls}">(${it.pct_cached}% cache-read)</span> · `+
|
||||
`<b>${fmt(o.output_tokens)}</b> output · all figures below are % of this total`;
|
||||
|
||||
// overall stat grid
|
||||
$('overall-grid').innerHTML = [
|
||||
['sessions', o.sessions],
|
||||
['api calls', o.api_calls],
|
||||
['human msgs', o.human_messages],
|
||||
['active hours', o.hours.active, `${o.hours.wall_clock} wall-clock`],
|
||||
['cache breaks', o.cache_breaks_over_100k, '>100k uncached'],
|
||||
['subagent calls', o.subagent.calls, `avg ${fmt(o.subagent.avg_tokens_per_call)}`],
|
||||
].map(([l,v,d]) =>
|
||||
`<div class="stat"><div class="label">${l}</div>`+
|
||||
`<div class="val">${typeof v==='number'&&v>=1e4?fmt(v):v}</div>`+
|
||||
(d?`<div class="detail">${d}</div>`:'')+`</div>`).join('');
|
||||
|
||||
// session timeline by day
|
||||
(function() {
|
||||
const days = (DATA.by_day||[]).slice(-14);
|
||||
if (!days.length) { $('timeline-section').style.display='none'; return; }
|
||||
const PCOL = ['rgb(177,185,249)','rgb(78,186,101)','#D97757','rgb(255,193,7)',
|
||||
'rgb(255,107,128)','#9b8cff','#6ec1d6','#c792ea'];
|
||||
const dayTotal = days.reduce((a,d)=>a+d.tokens,0) || 1;
|
||||
const tokMax = Math.max(...days.map(d=>d.tokens));
|
||||
const projects = [...new Set(days.flatMap(d=>d.sessions.map(s=>s.project)))];
|
||||
const colorOf = p => PCOL[projects.indexOf(p)%PCOL.length];
|
||||
const hhmm = m => (m>=1440?`+${Math.floor(m/1440)}d `:'') +
|
||||
`${String(Math.floor(m/60)%24).padStart(2,'0')}:${String(m%60).padStart(2,'0')}`;
|
||||
const md = iso => { const [,mo,da]=iso.split('-'); return `${MON[+mo-1]} ${+da}`; };
|
||||
let sel = days.findIndex(d=>d.tokens===tokMax);
|
||||
|
||||
function pills() {
|
||||
$('day-pills').innerHTML = days.map((d,i)=>
|
||||
`<button class="dpill${d.tokens===tokMax?' heaviest':''}${i===sel?' sel':''}" data-i="${i}">`+
|
||||
`<span class="dow">${esc(d.dow)}</span>`+
|
||||
`<span class="date">${esc(md(d.date))}</span>`+
|
||||
`<span class="pct">${(100*d.tokens/dayTotal).toFixed(1)}%</span>`+
|
||||
`<span class="ns">${d.sessions.length} sess</span></button>`
|
||||
).join('');
|
||||
$('day-pills').querySelectorAll('.dpill').forEach(el=>
|
||||
el.onclick=()=>{sel=+el.dataset.i;pills();gantt();});
|
||||
}
|
||||
function gantt() {
|
||||
const d = days[sel], DAY = 1440;
|
||||
$('g-day').textContent = `${d.dow} ${md(d.date)}`;
|
||||
$('g-stats').innerHTML = `${d.sessions.length} sessions · ${fmt(d.tokens)} tokens`+
|
||||
` · peak <b>${d.peak}</b> concurrent at <b>${hhmm(d.peak_at_min)}</b>`;
|
||||
const lanes = [];
|
||||
for (const s of d.sessions) {
|
||||
let placed = false;
|
||||
for (const L of lanes) if (L[L.length-1].end_min <= s.start_min) { L.push(s); placed=true; break; }
|
||||
if (!placed) lanes.push([s]);
|
||||
}
|
||||
let h = '';
|
||||
for (let t=0;t<=24;t+=6) h += `<div class="gantt-rule" style="left:${100*t/24}%"></div>`;
|
||||
h += lanes.map(L=>`<div class="lane">${L.map(s=>{
|
||||
const end = Math.min(s.end_min, DAY);
|
||||
const w = Math.max(0.15, 100*(end-s.start_min)/DAY);
|
||||
const tip = `folder: ${short(s.project)}\n`+
|
||||
`${hhmm(s.start_min)}–${hhmm(s.end_min)} · ${fmt(s.tokens)} tokens\n`+
|
||||
`session ${s.id}`;
|
||||
return `<span class="seg" style="left:${100*s.start_min/DAY}%;width:${w}%;`+
|
||||
`background:${colorOf(s.project)}" title="${esc(tip)}"></span>`;
|
||||
}).join('')}</div>`).join('');
|
||||
$('gantt').innerHTML = h || '<div class="callout">no sessions</div>';
|
||||
}
|
||||
document.addEventListener('keydown',e=>{
|
||||
if (e.key==='ArrowRight'&&sel<days.length-1){sel++;pills();gantt();e.preventDefault();}
|
||||
if (e.key==='ArrowLeft'&&sel>0){sel--;pills();gantt();e.preventDefault();}
|
||||
});
|
||||
$('gantt-leg').innerHTML = projects.slice(0,12).map(p=>
|
||||
`<span><span class="sw" style="background:${colorOf(p)}"></span>${esc(short(p))}</span>`).join('');
|
||||
pills(); gantt();
|
||||
})();
|
||||
|
||||
// block-char project bars
|
||||
(function() {
|
||||
const W = 48;
|
||||
const rows = Object.entries(DATA.by_project||{})
|
||||
.map(([k,v]) => [k, v.input_tokens.total + v.output_tokens])
|
||||
.sort((a,b)=>b[1]-a[1]).slice(0,15);
|
||||
const max = rows[0]?.[1] || 1;
|
||||
$('project-bars').innerHTML = rows.map(([k,v]) => {
|
||||
const n = Math.max(1, Math.round(W*v/max));
|
||||
return `<div class="bar"><span class="name" title="${esc(k)} — ${fmt(v)}">${esc(short(k))}</span>`+
|
||||
`<span class="blocks">${'█'.repeat(n)}<span class="empty">${'░'.repeat(W-n)}</span></span>`+
|
||||
`<span class="pct">${share(v)}</span></div>`;
|
||||
}).join('');
|
||||
})();
|
||||
|
||||
// ±2 user-message transcript context
|
||||
function renderContext(ctx, mark) {
|
||||
if (!ctx || !ctx.length) return '<div class="ctx-gap">no transcript context available</div>';
|
||||
let h = '<div class="ctx">';
|
||||
ctx.forEach((m, i) => {
|
||||
const who = m.here ? '> user' : ' user';
|
||||
h += `<div class="ctx-msg${m.here?' here':''}">`+
|
||||
`<span class="who">${who}</span> ${esc(m.text||'(non-text)')}`+
|
||||
`<span class="ts">${niceDate(m.ts)}</span></div>`;
|
||||
if (m.here && mark) h += mark;
|
||||
if (i < ctx.length-1 || m.here)
|
||||
h += `<div class="ctx-gap">${m.calls} api call${m.calls===1?'':'s'}</div>`;
|
||||
});
|
||||
return h + '</div>';
|
||||
}
|
||||
|
||||
// expandable drill-down list with "show N more" toggle
|
||||
function drillList(hostId, items, rowFn, empty) {
|
||||
const SHOW = 5;
|
||||
const host = $(hostId);
|
||||
if (!items.length) { host.innerHTML = `<div class="callout">${empty}</div>`; return; }
|
||||
const head = items.slice(0,SHOW).map(rowFn).join('');
|
||||
const rest = items.slice(SHOW).map(rowFn).join('');
|
||||
host.innerHTML = head + (rest
|
||||
? `<div hidden>${rest}</div><button class="more-btn">show ${items.length-SHOW} more</button>`
|
||||
: '');
|
||||
const btn = host.querySelector('.more-btn');
|
||||
if (btn) btn.onclick = () => {
|
||||
const r = btn.previousElementSibling; r.hidden = !r.hidden;
|
||||
btn.textContent = r.hidden ? `show ${items.length-SHOW} more` : 'show less';
|
||||
};
|
||||
}
|
||||
|
||||
drillList('top-prompts', (DATA.top_prompts||[]).slice(0,100), p => {
|
||||
const inTot = p.input.uncached+p.input.cache_create+p.input.cache_read;
|
||||
return `<details><summary>`+
|
||||
`<span class="amt">${share(p.total_tokens)}</span>`+
|
||||
`<span class="desc">${esc(p.text)}</span>`+
|
||||
`<span class="meta">${niceDate(p.ts)} · ${esc(short(p.project))} · ${p.api_calls} calls`+
|
||||
(p.subagent_calls?` · ${p.subagent_calls} subagents`:'')+
|
||||
` · ${pct(p.input.cache_read,inTot)} cached</span>`+
|
||||
`</summary><div class="body">`+
|
||||
renderContext(p.context)+
|
||||
`<div>session <code>${esc(p.session)}</code></div>`+
|
||||
`<div>in: uncached ${fmt(p.input.uncached)} · cache-create ${fmt(p.input.cache_create)} · `+
|
||||
`cache-read ${fmt(p.input.cache_read)} · out ${fmt(p.output)}</div>`+
|
||||
`</div></details>`;
|
||||
}, 'No prompts in range.');
|
||||
|
||||
drillList('cache-breaks', (DATA.cache_breaks||[]).slice(0,100), b =>
|
||||
`<details><summary>`+
|
||||
`<span class="amt">${fmt(b.uncached)}</span>`+
|
||||
`<span class="desc">${esc(short(b.project))} · `+
|
||||
`${b.kind==='subagent'?esc(b.agentType||'subagent'):'main'}</span>`+
|
||||
`<span class="meta">${niceDate(b.ts)} · ${pct(b.uncached,b.total)} of ${fmt(b.total)} uncached</span>`+
|
||||
`</summary><div class="body">`+
|
||||
renderContext(b.context,
|
||||
`<div class="ctx-break"><b>${fmt(b.uncached)}</b> uncached `+
|
||||
`(${pct(b.uncached,b.total)} of ${fmt(b.total)}) — cache break here</div>`)+
|
||||
`<div>session <code>${esc(b.session)}</code></div>`+
|
||||
`</div></details>`,
|
||||
'No cache breaks over threshold.');
|
||||
|
||||
// sortable table
|
||||
function table(el, cols, rows) {
|
||||
let sortIdx = cols.findIndex(c=>c.sort), asc = false;
|
||||
function render() {
|
||||
const sorted = rows.slice().sort((a,b)=>{
|
||||
const va=a[sortIdx], vb=b[sortIdx];
|
||||
return (asc?1:-1)*(typeof va==='number' ? va-vb : String(va).localeCompare(String(vb)));
|
||||
});
|
||||
el.innerHTML = `<thead><tr>${cols.map((c,i)=>
|
||||
`<th class="${c.num?'num':''} ${i===sortIdx?'sorted'+(asc?' asc':''):''}" data-i="${i}">${c.h}</th>`
|
||||
).join('')}</tr></thead><tbody>${sorted.map(r=>
|
||||
`<tr>${r.map((v,i)=>`<td class="${cols[i].num?'num':''}">${
|
||||
cols[i].fmt?cols[i].fmt(v):esc(v)}</td>`).join('')}</tr>`
|
||||
).join('')}</tbody>`;
|
||||
el.querySelectorAll('th').forEach(th=>th.onclick=()=>{
|
||||
const i=+th.dataset.i; if(i===sortIdx)asc=!asc; else{sortIdx=i;asc=false;} render();
|
||||
});
|
||||
}
|
||||
render();
|
||||
}
|
||||
|
||||
function statRows(obj) {
|
||||
return Object.entries(obj||{}).map(([k,v])=>[
|
||||
short(k), GRAND>0 ? 100*(v.input_tokens.total+v.output_tokens)/GRAND : 0,
|
||||
v.sessions, v.api_calls, v.human_messages,
|
||||
v.input_tokens.total, v.input_tokens.pct_cached, v.output_tokens,
|
||||
v.hours.active, v.cache_breaks_over_100k,
|
||||
v.subagent.calls, v.subagent.avg_tokens_per_call,
|
||||
]);
|
||||
}
|
||||
const statCols = [
|
||||
{h:'name'},{h:'% total',num:1,sort:1,fmt:v=>v.toFixed(1)+'%'},
|
||||
{h:'sess',num:1},{h:'calls',num:1},{h:'msgs',num:1},
|
||||
{h:'input',num:1,fmt:fmt},{h:'%cached',num:1,fmt:v=>v+'%'},
|
||||
{h:'output',num:1,fmt:fmt},{h:'active h',num:1},{h:'breaks',num:1},
|
||||
{h:'subagents',num:1},{h:'avg sub tok',num:1,fmt:fmt},
|
||||
];
|
||||
table($('tbl-projects'), statCols, statRows(DATA.by_project));
|
||||
table($('tbl-subagents'), statCols, statRows(DATA.by_subagent_type));
|
||||
table($('tbl-skills'), statCols, statRows(DATA.by_skill));
|
||||
})();
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
Reference in New Issue
Block a user