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Author SHA1 Message Date
Ashwin Bhat
1183388fdf Add GitHub workflow for issue triage with available labels
🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-04-14 17:20:21 -07:00
4 changed files with 247 additions and 1 deletions

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name: "Claude Code Action"
description: "Run Claude Code in GitHub Actions workflows"
inputs:
github_token:
description: "GitHub token with repo and issues permissions"
required: true
anthropic_api_key:
description: "Anthropic API key"
required: true
prompt:
description: "The prompt to send to Claude Code"
required: false
default: ""
prompt_file:
description: "Path to a file containing the prompt to send to Claude Code"
required: false
default: ""
allowed_tools:
description: "Comma-separated list of allowed tools for Claude Code to use"
required: false
default: ""
output_file:
description: "File to save Claude Code output to (optional)"
required: false
default: ""
timeout_minutes:
description: "Timeout in minutes for Claude Code execution"
required: false
default: "10"
install_github_mcp:
description: "Whether to install the GitHub MCP server"
required: false
default: "false"
runs:
using: "composite"
steps:
- name: Install Claude Code
shell: bash
run: npm install -g @anthropic-ai/claude-code
- name: Install GitHub MCP Server
if: inputs.install_github_mcp == 'true'
shell: bash
run: |
claude mcp add-json github '{
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server:sha-ff3036d"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${{ inputs.GITHUB_TOKEN }}"
}
}'
- name: Prepare Prompt File
shell: bash
id: prepare_prompt
run: |
# Check if either prompt or prompt_file is provided
if [ -z "${{ inputs.prompt }}" ] && [ -z "${{ inputs.prompt_file }}" ]; then
echo "::error::Neither 'prompt' nor 'prompt_file' was provided. At least one is required."
exit 1
fi
# Determine which prompt source to use
if [ ! -z "${{ inputs.prompt_file }}" ]; then
# Check if the prompt file exists
if [ ! -f "${{ inputs.prompt_file }}" ]; then
echo "::error::Prompt file '${{ inputs.prompt_file }}' does not exist."
exit 1
fi
# Use the provided prompt file
PROMPT_PATH="${{ inputs.prompt_file }}"
else
mkdir -p /tmp/claude-action
PROMPT_PATH="/tmp/claude-action/prompt.txt"
echo "${{ inputs.prompt }}" > "$PROMPT_PATH"
fi
# Verify the prompt file is not empty
if [ ! -s "$PROMPT_PATH" ]; then
echo "::error::Prompt is empty. Please provide a non-empty prompt."
exit 1
fi
# Save the prompt path for the next step
echo "PROMPT_PATH=$PROMPT_PATH" >> $GITHUB_ENV
- name: Run Claude Code
shell: bash
id: run_claude
run: |
ALLOWED_TOOLS_ARG=""
if [ ! -z "${{ inputs.allowed_tools }}" ]; then
ALLOWED_TOOLS_ARG="--allowedTools ${{ inputs.allowed_tools }}"
fi
# Set a timeout to ensure the command doesn't run indefinitely
timeout_seconds=$((${{ inputs.timeout_minutes }} * 60))
if [ -z "${{ inputs.output_file }}" ]; then
# Run Claude Code and output to console
timeout $timeout_seconds claude \
-p \
--verbose \
--output-format stream-json \
"$(cat ${{ env.PROMPT_PATH }})" \
${{ inputs.allowed_tools != '' && format('--allowedTools "{0}"', inputs.allowed_tools) || '' }}
else
# Run Claude Code and tee output to console and file
timeout $timeout_seconds claude \
-p \
--verbose \
--output-format stream-json \
"$(cat ${{ env.PROMPT_PATH }})" \
${{ inputs.allowed_tools != '' && format('--allowedTools "{0}"', inputs.allowed_tools) || '' }} | tee output.txt
# Process output.txt into JSON in a separate step
jq -s '.' output.txt > output.json
# Extract the result from the last item in the array (system message)
jq -r '.[-1].result' output.json > "${{ inputs.output_file }}"
echo "Complete output saved to output.json, final response saved to ${{ inputs.output_file }}"
fi
env:
ANTHROPIC_API_KEY: ${{ inputs.anthropic_api_key }}
GITHUB_TOKEN: ${{ inputs.github_token }}

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name: "Claude Issue Triage Action"
description: "Automatically triage GitHub issues using Claude Code"
inputs:
timeout_minutes:
description: "Timeout in minutes for execution"
required: false
default: "5"
anthropic_api_key:
description: "Anthropic API key"
required: true
github_token:
description: "GitHub token with repo and issues permissions"
required: true
runs:
using: "composite"
steps:
- name: Checkout repository code
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Create prompt file
shell: bash
run: |
mkdir -p /tmp/claude-prompts
cat > /tmp/claude-prompts/claude-issue-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: Run Claude Code
uses: ./.github/actions/claude-code-action
with:
prompt_file: /tmp/claude-prompts/claude-issue-triage-prompt.txt
allowed_tools: "Bash(gh label list),mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue,mcp__github__search_issues,mcp__github__list_issues"
install_github_mcp: "true"
timeout_minutes: ${{ inputs.timeout_minutes }}
anthropic_api_key: ${{ inputs.anthropic_api_key }}
github_token: ${{ inputs.github_token }}

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name: Claude Issue Triage
description: "Automatically triage GitHub issues using Claude Code"
on:
issues:
types: [opened]
jobs:
triage-issue:
runs-on: ubuntu-latest
timeout-minutes: 10
permissions:
contents: read
issues: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Run Claude Issue Triage
uses: ./.github/actions/claude-issue-triage-action
with:
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
github_token: ${{ secrets.GITHUB_TOKEN }}

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Claude Code is a Beta research preview per our [Commercial Terms of Service](https://www.anthropic.com/legal/commercial-terms). If Customer chooses to send us feedback about Claude Code, such as transcripts of Customer Claude Code usage, Anthropic may use that feedback to debug related issues or to improve Claude Codes functionality (e.g., to reduce the risk of similar bugs occurring in the future). Anthropic will not train models using feedback from Claude Code.
Claude Code is a Beta research preview per our [Commercial Terms of Service](https://www.anthropic.com/legal/commercial-terms). When you use Claude Code, we collect Feedback, which includes usage data such as code acceptance or rejections, as well as associated conversation data. We may use this Feedback to improve our products, although we will not train models using your Feedback from Claude Code.
© Anthropic PBC. All rights reserved. Use is subject to Anthropic's [Commercial Terms of Service](https://www.anthropic.com/legal/commercial-terms).