chore: Update CHANGELOG.md

chore: allow non-write users to trigger claude-code-action workflows

.github/workflows/claude-dedupe-issues.yml

@@ -17,16 +17,19 @@ jobs:
     permissions:
       contents: read
       issues: write
+      id-token: write
 
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
 
       - name: Run Claude Code slash command
-        uses: anthropics/claude-code-base-action@v1
+        uses: anthropics/claude-code-action@v1
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          allowed_non_write_users: "*"
           prompt: "/dedupe ${{ github.repository }}/issues/${{ github.event.issue.number || inputs.issue_number }}"
           anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
           claude_args: "--model claude-sonnet-4-5-20250929"

.github/workflows/claude-issue-triage.yml

@@ -11,65 +11,12 @@ jobs:
     permissions:
       contents: read
       issues: write
+      id-token: write
 
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
 
-      - name: Create triage prompt
-        run: |
-          mkdir -p /tmp/claude-prompts
-          cat > /tmp/claude-prompts/triage-prompt.txt << 'EOF'
-          You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
-
-          IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels.
-
-          Issue Information:
-          - REPO: ${{ github.repository }}
-          - ISSUE_NUMBER: ${{ github.event.issue.number }}
-
-          TASK OVERVIEW:
-
-          1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
-
-          2. Next, use the GitHub tools to get context about the issue:
-             - You have access to these tools:
-               - mcp__github__get_issue: Use this to retrieve the current issue's details including title, description, and existing labels
-               - mcp__github__get_issue_comments: Use this to read any discussion or additional context provided in the comments
-               - mcp__github__update_issue: Use this to apply labels to the issue (do not use this for commenting)
-               - mcp__github__search_issues: Use this to find similar issues that might provide context for proper categorization and to identify potential duplicate issues
-               - mcp__github__list_issues: Use this to understand patterns in how other issues are labeled
-             - Start by using mcp__github__get_issue to get the issue details
-
-          3. Analyze the issue content, considering:
-             - The issue title and description
-             - The type of issue (bug report, feature request, question, etc.)
-             - Technical areas mentioned
-             - Severity or priority indicators
-             - User impact
-             - Components affected
-
-          4. Select appropriate labels from the available labels list provided above:
-             - Choose labels that accurately reflect the issue's nature
-             - Be specific but comprehensive
-             - Select priority labels if you can determine urgency (high-priority, med-priority, or low-priority)
-             - Consider platform labels (android, ios) if applicable
-             - If you find similar issues using mcp__github__search_issues, consider using a "duplicate" label if appropriate. Only do so if the issue is a duplicate of another OPEN issue.
-
-          5. Apply the selected labels:
-             - Use mcp__github__update_issue to apply your selected labels
-             - DO NOT post any comments explaining your decision
-             - DO NOT communicate directly with users
-             - If no labels are clearly applicable, do not apply any labels
-
-          IMPORTANT GUIDELINES:
-          - Be thorough in your analysis
-          - Only select labels from the provided list above
-          - DO NOT post any comments to the issue
-          - Your ONLY action should be to apply labels using mcp__github__update_issue
-          - It's okay to not add any labels if none are clearly applicable
-          EOF
-
       - name: Setup GitHub MCP Server
         run: |
           mkdir -p /tmp/mcp-config
@@ -96,11 +43,61 @@ jobs:
 
       - name: Run Claude Code for Issue Triage
         timeout-minutes: 5
-        uses: anthropics/claude-code-base-action@v1
+        uses: anthropics/claude-code-action@v1
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:
-          prompt_file: /tmp/claude-prompts/triage-prompt.txt
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          allowed_non_write_users: "*"
+          prompt: |
+            You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
+
+            IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels.
+
+            Issue Information:
+            - REPO: ${{ github.repository }}
+            - ISSUE_NUMBER: ${{ github.event.issue.number }}
+
+            TASK OVERVIEW:
+
+            1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
+
+            2. Next, use the GitHub tools to get context about the issue:
+               - You have access to these tools:
+                 - mcp__github__get_issue: Use this to retrieve the current issue's details including title, description, and existing labels
+                 - mcp__github__get_issue_comments: Use this to read any discussion or additional context provided in the comments
+                 - mcp__github__update_issue: Use this to apply labels to the issue (do not use this for commenting)
+                 - mcp__github__search_issues: Use this to find similar issues that might provide context for proper categorization and to identify potential duplicate issues
+                 - mcp__github__list_issues: Use this to understand patterns in how other issues are labeled
+               - Start by using mcp__github__get_issue to get the issue details
+
+            3. Analyze the issue content, considering:
+               - The issue title and description
+               - The type of issue (bug report, feature request, question, etc.)
+               - Technical areas mentioned
+               - Severity or priority indicators
+               - User impact
+               - Components affected
+
+            4. Select appropriate labels from the available labels list provided above:
+               - Choose labels that accurately reflect the issue's nature
+               - Be specific but comprehensive
+               - Select priority labels if you can determine urgency (high-priority, med-priority, or low-priority)
+               - Consider platform labels (android, ios) if applicable
+               - If you find similar issues using mcp__github__search_issues, consider using a "duplicate" label if appropriate. Only do so if the issue is a duplicate of another OPEN issue.
+
+            5. Apply the selected labels:
+               - Use mcp__github__update_issue to apply your selected labels
+               - DO NOT post any comments explaining your decision
+               - DO NOT communicate directly with users
+               - If no labels are clearly applicable, do not apply any labels
+
+            IMPORTANT GUIDELINES:
+            - Be thorough in your analysis
+            - Only select labels from the provided list above
+            - DO NOT post any comments to the issue
+            - Your ONLY action should be to apply labels using mcp__github__update_issue
+            - It's okay to not add any labels if none are clearly applicable
           anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
           claude_args: |
             --model claude-sonnet-4-5-20250929

.github/workflows/oncall-triage.yml

@@ -16,74 +16,12 @@ jobs:
     permissions:
       contents: read
       issues: write
+      id-token: write
 
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
 
-      - name: Create oncall triage prompt
-        run: |
-          mkdir -p /tmp/claude-prompts
-          cat > /tmp/claude-prompts/oncall-triage-prompt.txt << 'EOF'
-          You're an oncall triage assistant for GitHub issues. Your task is to identify critical issues that require immediate oncall attention.
-
-          Important: Don't post any comments or messages to the issues. Your only action should be to apply the "oncall" label to qualifying issues.
-
-          Repository: ${{ github.repository }}
-
-          Task overview:
-          1. Fetch all open issues updated in the last 3 days:
-             - Use mcp__github__list_issues with:
-               - state="open"
-               - first=5 (fetch only 5 issues per page)
-               - orderBy="UPDATED_AT"
-               - direction="DESC"
-             - This will give you the most recently updated issues first
-             - For each page of results, check the updatedAt timestamp of each issue
-             - Add issues updated within the last 3 days (72 hours) to your TODO list as you go
-             - Keep paginating using the 'after' parameter until you encounter issues older than 3 days
-             - Once you hit issues older than 3 days, you can stop fetching (no need to fetch all open issues)
-
-          2. Build your TODO list incrementally as you fetch:
-             - As you fetch each page, immediately add qualifying issues to your TODO list
-             - One TODO item per issue number (e.g., "Evaluate issue #123")
-             - This allows you to start processing while still fetching more pages
-
-          3. For each issue in your TODO list:
-             - Use mcp__github__get_issue to read the issue details (title, body, labels)
-             - Use mcp__github__get_issue_comments to read all comments
-             - Evaluate whether this issue needs the oncall label:
-               a) Is it a bug? (has "bug" label or describes bug behavior)
-               b) Does it have at least 50 engagements? (count comments + reactions)
-               c) Is it truly blocking? Read and understand the full content to determine:
-                  - Does this prevent core functionality from working?
-                  - Can users work around it?
-                  - Consider severity indicators: "crash", "stuck", "frozen", "hang", "unresponsive", "cannot use", "blocked", "broken"
-                  - Be conservative - only flag issues that truly prevent users from getting work done
-
-          4. For issues that meet all criteria and do not already have the "oncall" label:
-             - Use mcp__github__update_issue to add the "oncall" label
-             - Do not post any comments
-             - Do not remove any existing labels
-             - Do not remove the "oncall" label from issues that already have it
-
-          Important guidelines:
-          - Use the TODO list to track your progress through ALL candidate issues
-          - Process issues efficiently - don't read every single issue upfront, work through your TODO list systematically
-          - Be conservative in your assessment - only flag truly critical blocking issues
-          - Do not post any comments to issues
-          - Your only action should be to add the "oncall" label using mcp__github__update_issue
-          - Mark each issue as complete in your TODO list as you process it
-
-          7. After processing all issues in your TODO list, provide a summary of your actions:
-             - Total number of issues processed (candidate issues evaluated)
-             - Number of issues that received the "oncall" label
-             - For each issue that got the label: list issue number, title, and brief reason why it qualified
-             - Close calls: List any issues that almost qualified but didn't quite meet the criteria (e.g., borderline blocking, had workarounds)
-             - If no issues qualified, state that clearly
-             - Format the summary clearly for easy reading
-          EOF
-
       - name: Setup GitHub MCP Server
         run: |
           mkdir -p /tmp/mcp-config
@@ -110,11 +48,70 @@ jobs:
 
       - name: Run Claude Code for Oncall Triage
         timeout-minutes: 10
-        uses: anthropics/claude-code-base-action@v1
+        uses: anthropics/claude-code-action@v1
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:
-          prompt_file: /tmp/claude-prompts/oncall-triage-prompt.txt
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          allowed_non_write_users: "*"
+          prompt: |
+            You're an oncall triage assistant for GitHub issues. Your task is to identify critical issues that require immediate oncall attention.
+
+            Important: Don't post any comments or messages to the issues. Your only action should be to apply the "oncall" label to qualifying issues.
+
+            Repository: ${{ github.repository }}
+
+            Task overview:
+            1. Fetch all open issues updated in the last 3 days:
+               - Use mcp__github__list_issues with:
+                 - state="open"
+                 - first=5 (fetch only 5 issues per page)
+                 - orderBy="UPDATED_AT"
+                 - direction="DESC"
+               - This will give you the most recently updated issues first
+               - For each page of results, check the updatedAt timestamp of each issue
+               - Add issues updated within the last 3 days (72 hours) to your TODO list as you go
+               - Keep paginating using the 'after' parameter until you encounter issues older than 3 days
+               - Once you hit issues older than 3 days, you can stop fetching (no need to fetch all open issues)
+
+            2. Build your TODO list incrementally as you fetch:
+               - As you fetch each page, immediately add qualifying issues to your TODO list
+               - One TODO item per issue number (e.g., "Evaluate issue #123")
+               - This allows you to start processing while still fetching more pages
+
+            3. For each issue in your TODO list:
+               - Use mcp__github__get_issue to read the issue details (title, body, labels)
+               - Use mcp__github__get_issue_comments to read all comments
+               - Evaluate whether this issue needs the oncall label:
+                 a) Is it a bug? (has "bug" label or describes bug behavior)
+                 b) Does it have at least 50 engagements? (count comments + reactions)
+                 c) Is it truly blocking? Read and understand the full content to determine:
+                    - Does this prevent core functionality from working?
+                    - Can users work around it?
+                    - Consider severity indicators: "crash", "stuck", "frozen", "hang", "unresponsive", "cannot use", "blocked", "broken"
+                    - Be conservative - only flag issues that truly prevent users from getting work done
+
+            4. For issues that meet all criteria and do not already have the "oncall" label:
+               - Use mcp__github__update_issue to add the "oncall" label
+               - Do not post any comments
+               - Do not remove any existing labels
+               - Do not remove the "oncall" label from issues that already have it
+
+            Important guidelines:
+            - Use the TODO list to track your progress through ALL candidate issues
+            - Process issues efficiently - don't read every single issue upfront, work through your TODO list systematically
+            - Be conservative in your assessment - only flag truly critical blocking issues
+            - Do not post any comments to issues
+            - Your only action should be to add the "oncall" label using mcp__github__update_issue
+            - Mark each issue as complete in your TODO list as you process it
+
+            7. After processing all issues in your TODO list, provide a summary of your actions:
+               - Total number of issues processed (candidate issues evaluated)
+               - Number of issues that received the "oncall" label
+               - For each issue that got the label: list issue number, title, and brief reason why it qualified
+               - Close calls: List any issues that almost qualified but didn't quite meet the criteria (e.g., borderline blocking, had workarounds)
+               - If no issues qualified, state that clearly
+               - Format the summary clearly for easy reading
           anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
           claude_args: |
             --mcp-config /tmp/mcp-config/mcp-servers.json

CHANGELOG.md

@@ -1,7 +1,20 @@
 # Changelog
 
+## 2.1.9
+
+- Added `auto:N` syntax for configuring the MCP tool search auto-enable threshold, where N is the context window percentage (0-100)
+- Added `plansDirectory` setting to customize where plan files are stored
+- Added external editor support (Ctrl+G) in AskUserQuestion "Other" input field
+- Added session URL attribution to commits and PRs created from web sessions
+- Added support for `PreToolUse` hooks to return `additionalContext` to the model
+- Added `${CLAUDE_SESSION_ID}` string substitution for skills to access the current session ID
+- Fixed long sessions with parallel tool calls failing with an API error about orphan tool_result blocks
+- Fixed MCP server reconnection hanging when cached connection promise never resolves
+- Fixed Ctrl+Z suspend not working in terminals using Kitty keyboard protocol (Ghostty, iTerm2, kitty, WezTerm)
+
 ## 2.1.7
 
+- Added customizable keyboard shortcuts via `~/.claude/keybindings.json`. Run `/keybindings` to get started. Learn more at https://code.claude.com/docs/en/keybindings
 - Added `showTurnDuration` setting to hide turn duration messages (e.g., "Cooked for 1m 6s")
 - Added ability to provide feedback when accepting permission prompts
 - Added inline display of agent's final response in task notifications, making it easier to see results without reading the full transcript file