Add Apache 2.0 LICENSE to session-report plugin

Add session-report plugin

.claude-plugin/marketplace.json

@@ -53,7 +53,7 @@
     },
     {
       "name": "aikido",
-      "description": "Aikido Security scanning for Claude Code \u2014 SAST, secrets, and IaC vulnerability detection powered by the Aikido MCP server.",
+      "description": "Aikido Security scanning for Claude Code — SAST, secrets, and IaC vulnerability detection powered by the Aikido MCP server.",
       "source": {
         "source": "url",
         "url": "https://github.com/AikidoSec/aikido-claude-plugin.git",
@@ -243,7 +243,7 @@
     },
     {
       "name": "cockroachdb",
-      "description": "CockroachDB plugin for Claude Code \u2014 explore schemas, write optimized SQL, debug queries, and manage distributed database clusters directly from your AI coding agent.",
+      "description": "CockroachDB plugin for Claude Code — explore schemas, write optimized SQL, debug queries, and manage distributed database clusters directly from your AI coding agent.",
       "source": {
         "source": "url",
         "url": "https://github.com/cockroachdb/claude-plugin.git",
@@ -275,7 +275,7 @@
     },
     {
       "name": "coderabbit",
-      "description": "Your code review partner. CodeRabbit provides external validation using a specialized AI architecture and 40+ integrated static analyzers\u2014offering a different perspective that catches bugs, security vulnerabilities, logic errors, and edge cases. Context-aware analysis via AST parsing and codegraph relationships. Automatically incorporates CLAUDE.md and project coding guidelines into reviews. Useful after writing or modifying code, before commits, when implementing complex or security-sensitive logic, or when a second opinion would increase confidence in the changes. Returns specific findings with suggested fixes that can be applied immediately. Free to use.",
+      "description": "Your code review partner. CodeRabbit provides external validation using a specialized AI architecture and 40+ integrated static analyzers—offering a different perspective that catches bugs, security vulnerabilities, logic errors, and edge cases. Context-aware analysis via AST parsing and codegraph relationships. Automatically incorporates CLAUDE.md and project coding guidelines into reviews. Useful after writing or modifying code, before commits, when implementing complex or security-sensitive logic, or when a second opinion would increase confidence in the changes. Returns specific findings with suggested fixes that can be applied immediately. Free to use.",
       "category": "productivity",
       "source": {
         "source": "url",
@@ -365,7 +365,7 @@
     },
     {
       "name": "elixir-ls-lsp",
-      "description": "Elixir language server (ElixirLS) for Claude Code \u2014 provides code intelligence and diagnostics for .ex, .exs, and .heex files.",
+      "description": "Elixir language server (ElixirLS) for Claude Code — provides code intelligence and diagnostics for .ex, .exs, and .heex files.",
       "source": {
         "source": "url",
         "url": "https://github.com/MikaelFangel/claude-elixir-ls-lsp.git",
@@ -542,7 +542,7 @@
     },
     {
       "name": "helius",
-      "description": "Build on Solana with Helius \u2014 live blockchain tools, expert coding patterns, and autonomous account signup",
+      "description": "Build on Solana with Helius — live blockchain tools, expert coding patterns, and autonomous account signup",
       "source": {
         "source": "git-subdir",
         "url": "helius-labs/core-ai",
@@ -775,7 +775,7 @@
     },
     {
       "name": "netlify-skills",
-      "description": "Netlify platform skills for Claude Code \u2014 functions, edge functions, blobs, database, image CDN, forms, config, CLI, frameworks, caching, AI gateway, and deployment.",
+      "description": "Netlify platform skills for Claude Code — functions, edge functions, blobs, database, image CDN, forms, config, CLI, frameworks, caching, AI gateway, and deployment.",
       "category": "development",
       "source": {
         "source": "url",
@@ -795,7 +795,7 @@
     },
     {
       "name": "nimble",
-      "description": "Nimble web data toolkit \u2014 search, extract, map, crawl the web and work with structured data agents",
+      "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",
@@ -815,7 +815,7 @@
     },
     {
       "name": "opsera-devsecops",
-      "description": "Opsera DevSecOps Agent \u2014 AI-powered architecture analysis, security scanning, compliance auditing, and SQL security for your codebase. Free trial included.",
+      "description": "Opsera DevSecOps Agent — AI-powered architecture analysis, security scanning, compliance auditing, and SQL security for your codebase. Free trial included.",
       "source": {
         "source": "url",
         "url": "https://github.com/opsera-agents/opsera-devsecops.git",
@@ -825,7 +825,7 @@
     },
     {
       "name": "optibot",
-      "description": "AI code review that catches production-breaking bugs, business logic issues, and security vulnerabilities \u2014 directly in Claude Code.",
+      "description": "AI code review that catches production-breaking bugs, business logic issues, and security vulnerabilities — directly in Claude Code.",
       "source": {
         "source": "url",
         "url": "https://github.com/Optimal-AI/optibot-skill.git",
@@ -890,7 +890,7 @@
     },
     {
       "name": "playground",
-      "description": "Creates interactive HTML playgrounds \u2014 self-contained single-file explorers with visual controls, live preview, and prompt output with copy button. Includes templates for design playgrounds, data explorers, concept maps, and document critique.",
+      "description": "Creates interactive HTML playgrounds — self-contained single-file explorers with visual controls, live preview, and prompt output with copy button. Includes templates for design playgrounds, data explorers, concept maps, and document critique.",
       "author": {
         "name": "Anthropic",
         "email": "support@anthropic.com"
@@ -971,7 +971,7 @@
     },
     {
       "name": "product-tracking-skills",
-      "description": "AI agent skills that make SaaS products data-ready for product analytics \u2014 from codebase scan to tracking plan to working instrumentation code.",
+      "description": "AI agent skills that make SaaS products data-ready for product analytics — from codebase scan to tracking plan to working instrumentation code.",
       "source": {
         "source": "url",
         "url": "https://github.com/Accoil/product-tracking-skills.git",
@@ -1005,7 +1005,7 @@
     },
     {
       "name": "qodo-skills",
-      "description": "Qodo Skills provides a curated library of reusable AI agent capabilities that extend Claude's functionality for software development workflows. Each skill is designed to integrate seamlessly into your development process, enabling tasks like code quality checks, automated testing, security scanning, and compliance validation. Skills operate across your entire SDLC\u2014from IDE to CI/CD\u2014ensuring consistent standards and catching issues early.",
+      "description": "Qodo Skills provides a curated library of reusable AI agent capabilities that extend Claude's functionality for software development workflows. Each skill is designed to integrate seamlessly into your development process, enabling tasks like code quality checks, automated testing, security scanning, and compliance validation. Skills operate across your entire SDLC—from IDE to CI/CD—ensuring consistent standards and catching issues early.",
       "category": "development",
       "source": {
         "source": "url",
@@ -1129,7 +1129,7 @@
     },
     {
       "name": "searchfit-seo",
-      "description": "Free AI-powered SEO toolkit \u2014 audit websites, plan content strategy, optimize pages, generate schema markup, cluster keywords, and track AI visibility. Works with any website or codebase.",
+      "description": "Free AI-powered SEO toolkit — audit websites, plan content strategy, optimize pages, generate schema markup, cluster keywords, and track AI visibility. Works with any website or codebase.",
       "source": {
         "source": "url",
         "url": "https://github.com/searchfit/searchfit-seo.git",
@@ -1179,6 +1179,17 @@
         "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.",
@@ -1200,6 +1211,17 @@
       },
       "homepage": "https://github.com/slackapi/slack-mcp-plugin/tree/main"
     },
+    {
+      "name": "sonarqube-agent-plugins",
+      "description": "Integrate SonarQube code quality and security analysis into Claude Code: namespaced slash commands, a guided skill to setup the SonarQube CLI, and a startup check for CLI wiring. MCP server registration and secrets-scanning hooks are installed by the SonarQube CLI as part of setup.",
+      "category": "security",
+      "source": {
+        "source": "url",
+        "url": "https://github.com/SonarSource/sonarqube-agent-plugins.git",
+        "sha": "0cae644cee9318e6245b62ca779abdc60e6daa49"
+      },
+      "homepage": "https://github.com/SonarSource/sonarqube-agent-plugins"
+    },
     {
       "name": "sonatype-guide",
       "description": "Sonatype Guide MCP server for software supply chain intelligence and dependency security. Analyze dependencies for vulnerabilities, get secure version recommendations, and check component quality metrics.",
@@ -1431,17 +1453,6 @@
         "sha": "b93007e9a726c6ee93c57a949e732744ef5acbfd"
       },
       "homepage": "https://github.com/zapier/zapier-mcp/tree/main/plugins/zapier"
-    },
-    {
-      "name": "zoominfo",
-      "description": "Search companies and contacts, enrich leads, find lookalikes, and get AI-ranked contact recommendations. Pre-built skills chain multiple ZoomInfo tools into complete B2B sales workflows.",
-      "category": "productivity",
-      "source": {
-        "source": "url",
-        "url": "https://github.com/Zoominfo/zoominfo-mcp-plugin.git",
-        "sha": "0705316ef8a2d0c64f81e50d4612ccc6a74edf03"
-      },
-      "homepage": "https://zoominfo.com"
     }
   ]
 }

external_plugins/discord/README.md

@@ -47,6 +47,7 @@ These are Claude Code commands — run `claude` to start a session first.
 Install the plugin:
 ```
 /plugin install discord@claude-plugins-official
+/reload-plugins
 ```
 
 **5. Give the server the token.**

external_plugins/telegram/README.md

@@ -27,6 +27,7 @@ These are Claude Code commands — run `claude` to start a session first.
 Install the plugin:
 ```
 /plugin install telegram@claude-plugins-official
+/reload-plugins
 ```
 
 **3. Give the server the token.**

plugins/session-report/LICENSE

@@ -0,0 +1,202 @@
+
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plugins/session-report/skills/session-report/SKILL.md

@@ -0,0 +1,42 @@
+---
+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).

plugins/session-report/skills/session-report/analyze-sessions.mjs

@@ -0,0 +1,816 @@
+#!/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
+
+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
+    }
+  }
+
+  // commit API calls
+  for (const [key, { usage, ts, skill, prompt }] of fileApiCalls) {
+    if (key && seenRequestIds.has(key)) continue
+    seenRequestIds.add(key)
+
+    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') {
+      const tot =
+        (usage.input_tokens || 0) +
+        (usage.cache_creation_input_tokens || 0) +
+        (usage.cache_read_input_tokens || 0) +
+        (usage.output_tokens || 0)
+      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),
+  }
+  process.stdout.write(JSON.stringify(out, null, 2) + '\n')
+}
+
+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)
+})

plugins/session-report/skills/session-report/template.html

@@ -0,0 +1,464 @@
+<!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); }
+
+  /* ——— 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">&gt;</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>
+      <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">&gt;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 &amp; 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 =>
+    ({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;'}[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('');
+
+  // 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">${share(v)}</span></div>`;
+    }).join('');
+  })();
+
+  // ±2 user-message transcript context
+  function renderContext(ctx, mark) {
+    if (!ctx || !ctx.length) return '<div class="ctx-gap">no transcript context available</div>';
+    let h = '<div class="ctx">';
+    ctx.forEach((m, i) => {
+      const who = m.here ? '&gt; user' : '  user';
+      h += `<div class="ctx-msg${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>';
+  }
+
+  // top prompts — share of grand total
+  (function() {
+    const ps = (DATA.top_prompts||[]).slice(0,100);
+    const SHOW = 5;
+    const row = 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>`;
+    };
+    const head = ps.slice(0,SHOW).map(row).join('');
+    const rest = ps.slice(SHOW).map(row).join('');
+    $('top-prompts').innerHTML = ps.length
+      ? head + (rest
+          ? `<div id="tp-rest" hidden>${rest}</div>`+
+            `<button id="tp-more" class="more-btn">show ${ps.length-SHOW} more</button>`
+          : '')
+      : '<div class="callout">No prompts in range.</div>';
+    const btn = $('tp-more');
+    if (btn) btn.onclick = () => {
+      const r = $('tp-rest'); r.hidden = !r.hidden;
+      btn.textContent = r.hidden ? `show ${ps.length-SHOW} more` : 'show less';
+    };
+  })();
+
+  // cache breaks
+  (function() {
+    const bs = (DATA.cache_breaks||[]).slice(0,100);
+    $('cache-breaks').innerHTML = bs.map(b =>
+      `<details><summary>`+
+      `<span class="amt">${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>`
+    ).join('') || '<div class="callout">No cache breaks over threshold.</div>';
+  })();
+
+  // 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>