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1733 lines (1607 loc) · 89.3 KB
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#
# ___ _ _
# / _ \ | | (_)
# | |_| | __ _ ___ _ __ | |_ _ ___
# | _ |/ _` |/ _ \ '_ \| __| |/ __|
# | | | | (_| | __/ | | | |_| | (__
# \_| |_/\__, |\___|_| |_|\__|_|\___|
# __/ |
# _ _ |___/
# | | | | / _| |
# | | | | ___ _ __ _ __| |_| | _____ ____
# | |/\| |/ _ \ '__| |/ /| _| |/ _ \ \ /\ / / ___|
# \ /\ / (_) | | | | ( | | | | (_) \ V V /\__ \
# \/ \/ \___/|_| |_|\_\|_| |_|\___/ \_/\_/ |___/
#
# This file was automatically generated by gh-aw. DO NOT EDIT.
#
# To update this file, edit the corresponding .md file and run:
# gh aw compile
# For more information: https://github.com/githubnext/gh-aw/blob/main/.github/aw/github-agentic-workflows.md
#
# Intelligent assistant that answers questions, analyzes repositories, and can create PRs for workflow optimizations
#
# Resolved workflow manifest:
# Imports:
# - shared/mcp/gh-aw.md
name: "Q"
"on":
discussion:
types:
- created
- edited
discussion_comment:
types:
- created
- edited
issue_comment:
types:
- created
- edited
issues:
types:
- opened
- edited
- reopened
pull_request:
types:
- opened
- edited
- reopened
pull_request_review_comment:
types:
- created
- edited
permissions: {}
concurrency:
group: "gh-aw-${{ github.workflow }}-${{ github.event.issue.number || github.event.pull_request.number }}"
run-name: "Q"
jobs:
activation:
needs: pre_activation
if: >
(needs.pre_activation.outputs.activated == 'true') && ((github.event_name == 'issues') && (contains(github.event.issue.body, '/q')) ||
(github.event_name == 'issue_comment') && ((contains(github.event.comment.body, '/q')) && (github.event.issue.pull_request == null)) ||
(github.event_name == 'issue_comment') && ((contains(github.event.comment.body, '/q')) && (github.event.issue.pull_request != null)) ||
(github.event_name == 'pull_request_review_comment') && (contains(github.event.comment.body, '/q')) ||
(github.event_name == 'pull_request') && (contains(github.event.pull_request.body, '/q')) ||
(github.event_name == 'discussion') &&
(contains(github.event.discussion.body, '/q')) || (github.event_name == 'discussion_comment') &&
(contains(github.event.comment.body, '/q')))
runs-on: ubuntu-slim
permissions:
contents: read
discussions: write
issues: write
pull-requests: write
outputs:
comment_id: ${{ steps.add-comment.outputs.comment-id }}
comment_repo: ${{ steps.add-comment.outputs.comment-repo }}
comment_url: ${{ steps.add-comment.outputs.comment-url }}
slash_command: ${{ needs.pre_activation.outputs.matched_command }}
text: ${{ steps.compute-text.outputs.text }}
steps:
- name: Checkout actions folder
uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6
with:
sparse-checkout: |
actions
persist-credentials: false
- name: Setup Scripts
uses: ./actions/setup
with:
destination: /opt/gh-aw/actions
- name: Check workflow file timestamps
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
env:
GH_AW_WORKFLOW_FILE: "q.lock.yml"
with:
script: |
const { setupGlobals } = require('/opt/gh-aw/actions/setup_globals.cjs');
setupGlobals(core, github, context, exec, io);
const { main } = require('/opt/gh-aw/actions/check_workflow_timestamp_api.cjs');
await main();
- name: Compute current body text
id: compute-text
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
with:
script: |
const { setupGlobals } = require('/opt/gh-aw/actions/setup_globals.cjs');
setupGlobals(core, github, context, exec, io);
const { main } = require('/opt/gh-aw/actions/compute_text.cjs');
await main();
- name: Add comment with workflow run link
id: add-comment
if: github.event_name == 'issues' || github.event_name == 'issue_comment' || github.event_name == 'pull_request_review_comment' || github.event_name == 'discussion' || github.event_name == 'discussion_comment' || (github.event_name == 'pull_request') && (github.event.pull_request.head.repo.id == github.repository_id)
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
env:
GH_AW_WORKFLOW_NAME: "Q"
GH_AW_SAFE_OUTPUT_MESSAGES: "{\"footer\":\"\\u003e 🎩 *Equipped by [{workflow_name}]({run_url})*\",\"runStarted\":\"🔧 Pay attention, 007! [{workflow_name}]({run_url}) is preparing your gadgets for this {event_type}...\",\"runSuccess\":\"🎩 Mission equipment ready! [{workflow_name}]({run_url}) has optimized your workflow. Use wisely, 007! 🔫\",\"runFailure\":\"🔧 Technical difficulties! [{workflow_name}]({run_url}) {status}. Even Q Branch has bad days...\"}"
with:
script: |
const { setupGlobals } = require('/opt/gh-aw/actions/setup_globals.cjs');
setupGlobals(core, github, context, exec, io);
const { main } = require('/opt/gh-aw/actions/add_workflow_run_comment.cjs');
await main();
agent:
needs: activation
runs-on: ubuntu-latest
permissions:
actions: read
contents: read
discussions: read
issues: read
pull-requests: read
env:
DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
GH_AW_ASSETS_ALLOWED_EXTS: ""
GH_AW_ASSETS_BRANCH: ""
GH_AW_ASSETS_MAX_SIZE_KB: 0
GH_AW_MCP_LOG_DIR: /tmp/gh-aw/mcp-logs/safeoutputs
GH_AW_SAFE_OUTPUTS: /opt/gh-aw/safeoutputs/outputs.jsonl
GH_AW_SAFE_OUTPUTS_CONFIG_PATH: /opt/gh-aw/safeoutputs/config.json
GH_AW_SAFE_OUTPUTS_TOOLS_PATH: /opt/gh-aw/safeoutputs/tools.json
outputs:
has_patch: ${{ steps.collect_output.outputs.has_patch }}
model: ${{ steps.generate_aw_info.outputs.model }}
output: ${{ steps.collect_output.outputs.output }}
output_types: ${{ steps.collect_output.outputs.output_types }}
secret_verification_result: ${{ steps.validate-secret.outputs.verification_result }}
steps:
- name: Checkout actions folder
uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6
with:
sparse-checkout: |
actions
persist-credentials: false
- name: Setup Scripts
uses: ./actions/setup
with:
destination: /opt/gh-aw/actions
- name: Checkout repository
uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6
with:
persist-credentials: false
- name: Create gh-aw temp directory
run: bash /opt/gh-aw/actions/create_gh_aw_tmp_dir.sh
- name: Setup Go
uses: actions/setup-go@7a3fe6cf4cb3a834922a1244abfce67bcef6a0c5 # v6
with:
cache: true
go-version-file: go.mod
- name: Install dependencies
run: make deps-dev
- env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
name: Install binary as 'gh-aw'
run: "# Check if gh-aw extension is already installed\nif gh extension list | grep -q \"githubnext/gh-aw\"; then\n echo \"gh-aw extension already installed, skipping installation...\"\nelse\n # Check if a different extension provides the 'aw' command\n # gh extension list format: NAME COMMAND VERSION\n EXISTING_EXTENSION=$(gh extension list | awk '$2 == \"aw\" {print $1}' | head -n1)\n if [ -n \"$EXISTING_EXTENSION\" ]; then\n echo \"Found conflicting extension providing 'aw' command: $EXISTING_EXTENSION\"\n echo \"Removing conflicting extension...\"\n gh extension remove \"$EXISTING_EXTENSION\" || true\n fi\n \n # Install the extension\n echo \"Installing gh-aw extension...\"\n make install\nfi\n\n# Verify installation\ngh aw --version\n"
- env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
name: Start MCP server
run: "set -e\n./gh-aw mcp-server --cmd ./gh-aw --port 8765 &\nMCP_PID=$!\n\n# Robust health check with TCP connection test\necho \"Waiting for MCP server to start (PID: $MCP_PID)...\"\nfor i in {1..15}; do\n # Check if process is still running\n if ! kill -0 $MCP_PID 2>/dev/null; then\n echo \"Error: MCP server process died unexpectedly\"\n exit 1\n fi\n \n # Try to connect to the server port\n if timeout 1 bash -c \"echo > /dev/tcp/localhost/8765\" 2>/dev/null; then\n echo \"MCP server is accepting connections on port 8765\"\n echo \"MCP server started successfully with PID $MCP_PID\"\n exit 0\n fi\n \n echo \"Waiting for server to accept connections... (attempt $i/15)\"\n sleep 1\ndone\n\necho \"Error: MCP server failed to accept connections after 15 seconds\"\nexit 1\n"
# Cache memory file share configuration from frontmatter processed below
- name: Create cache-memory directory
run: bash /opt/gh-aw/actions/create_cache_memory_dir.sh
- name: Restore cache-memory file share data
uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
with:
key: memory-${{ github.workflow }}-${{ github.run_id }}
path: /tmp/gh-aw/cache-memory
restore-keys: |
memory-${{ github.workflow }}-
memory-
- name: Configure Git credentials
env:
REPO_NAME: ${{ github.repository }}
SERVER_URL: ${{ github.server_url }}
run: |
git config --global user.email "github-actions[bot]@users.noreply.github.com"
git config --global user.name "github-actions[bot]"
# Re-authenticate git with GitHub token
SERVER_URL_STRIPPED="${SERVER_URL#https://}"
git remote set-url origin "https://x-access-token:${{ github.token }}@${SERVER_URL_STRIPPED}/${REPO_NAME}.git"
echo "Git configured with standard GitHub Actions identity"
- name: Checkout PR branch
if: |
github.event.pull_request
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
env:
GH_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN || secrets.GH_AW_GITHUB_TOKEN || secrets.GITHUB_TOKEN }}
with:
github-token: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN || secrets.GH_AW_GITHUB_TOKEN || secrets.GITHUB_TOKEN }}
script: |
const { setupGlobals } = require('/opt/gh-aw/actions/setup_globals.cjs');
setupGlobals(core, github, context, exec, io);
const { main } = require('/opt/gh-aw/actions/checkout_pr_branch.cjs');
await main();
- name: Validate COPILOT_GITHUB_TOKEN secret
id: validate-secret
run: /opt/gh-aw/actions/validate_multi_secret.sh COPILOT_GITHUB_TOKEN 'GitHub Copilot CLI' https://githubnext.github.io/gh-aw/reference/engines/#github-copilot-default
env:
COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}
- name: Install GitHub Copilot CLI
run: /opt/gh-aw/actions/install_copilot_cli.sh 0.0.395
- name: Install awf binary
run: bash /opt/gh-aw/actions/install_awf_binary.sh v0.11.2
- name: Determine automatic lockdown mode for GitHub MCP server
id: determine-automatic-lockdown
env:
TOKEN_CHECK: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN }}
if: env.TOKEN_CHECK != ''
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8
with:
script: |
const determineAutomaticLockdown = require('/opt/gh-aw/actions/determine_automatic_lockdown.cjs');
await determineAutomaticLockdown(github, context, core);
- name: Download container images
run: bash /opt/gh-aw/actions/download_docker_images.sh ghcr.io/github/github-mcp-server:v0.30.2 ghcr.io/githubnext/gh-aw-mcpg:v0.0.84 node:lts-alpine
- name: Write Safe Outputs Config
run: |
mkdir -p /opt/gh-aw/safeoutputs
mkdir -p /tmp/gh-aw/safeoutputs
mkdir -p /tmp/gh-aw/mcp-logs/safeoutputs
cat > /opt/gh-aw/safeoutputs/config.json << 'EOF'
{"add_comment":{"max":1},"create_pull_request":{},"missing_data":{},"missing_tool":{},"noop":{"max":1}}
EOF
cat > /opt/gh-aw/safeoutputs/tools.json << 'EOF'
[
{
"description": "Add a comment to an existing GitHub issue, pull request, or discussion. Use this to provide feedback, answer questions, or add information to an existing conversation. For creating new items, use create_issue, create_discussion, or create_pull_request instead. CONSTRAINTS: Maximum 1 comment(s) can be added.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"body": {
"description": "The comment text in Markdown format. This is the 'body' field - do not use 'comment_body' or other variations. Provide helpful, relevant information that adds value to the conversation.",
"type": "string"
},
"item_number": {
"description": "The issue, pull request, or discussion number to comment on. This is the numeric ID from the GitHub URL (e.g., 123 in github.com/owner/repo/issues/123). If omitted, the tool will attempt to resolve the target from the current workflow context (triggering issue, PR, or discussion).",
"type": "number"
}
},
"required": [
"body"
],
"type": "object"
},
"name": "add_comment"
},
{
"description": "Create a new GitHub pull request to propose code changes. Use this after making file edits to submit them for review and merging. The PR will be created from the current branch with your committed changes. For code review comments on an existing PR, use create_pull_request_review_comment instead. CONSTRAINTS: Maximum 1 pull request(s) can be created. Reviewers [copilot] will be assigned.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"body": {
"description": "Detailed PR description in Markdown. Include what changes were made, why, testing notes, and any breaking changes. Do NOT repeat the title as a heading.",
"type": "string"
},
"branch": {
"description": "Source branch name containing the changes. If omitted, uses the current working branch.",
"type": "string"
},
"labels": {
"description": "Labels to categorize the PR (e.g., 'enhancement', 'bugfix'). Labels must exist in the repository.",
"items": {
"type": "string"
},
"type": "array"
},
"title": {
"description": "Concise PR title describing the changes. Follow repository conventions (e.g., conventional commits). The title appears as the main heading.",
"type": "string"
}
},
"required": [
"title",
"body"
],
"type": "object"
},
"name": "create_pull_request"
},
{
"description": "Report that a tool or capability needed to complete the task is not available, or share any information you deem important about missing functionality or limitations. Use this when you cannot accomplish what was requested because the required functionality is missing or access is restricted.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"alternatives": {
"description": "Any workarounds, manual steps, or alternative approaches the user could take (max 256 characters).",
"type": "string"
},
"reason": {
"description": "Explanation of why this tool is needed or what information you want to share about the limitation (max 256 characters).",
"type": "string"
},
"tool": {
"description": "Optional: Name or description of the missing tool or capability (max 128 characters). Be specific about what functionality is needed.",
"type": "string"
}
},
"required": [
"reason"
],
"type": "object"
},
"name": "missing_tool"
},
{
"description": "Log a transparency message when no significant actions are needed. Use this to confirm workflow completion and provide visibility when analysis is complete but no changes or outputs are required (e.g., 'No issues found', 'All checks passed'). This ensures the workflow produces human-visible output even when no other actions are taken.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"message": {
"description": "Status or completion message to log. Should explain what was analyzed and the outcome (e.g., 'Code review complete - no issues found', 'Analysis complete - all tests passing').",
"type": "string"
}
},
"required": [
"message"
],
"type": "object"
},
"name": "noop"
},
{
"description": "Report that data or information needed to complete the task is not available. Use this when you cannot accomplish what was requested because required data, context, or information is missing.",
"inputSchema": {
"additionalProperties": false,
"properties": {
"alternatives": {
"description": "Any workarounds, manual steps, or alternative approaches the user could take (max 256 characters).",
"type": "string"
},
"context": {
"description": "Additional context about the missing data or where it should come from (max 256 characters).",
"type": "string"
},
"data_type": {
"description": "Type or description of the missing data or information (max 128 characters). Be specific about what data is needed.",
"type": "string"
},
"reason": {
"description": "Explanation of why this data is needed to complete the task (max 256 characters).",
"type": "string"
}
},
"required": [],
"type": "object"
},
"name": "missing_data"
}
]
EOF
cat > /opt/gh-aw/safeoutputs/validation.json << 'EOF'
{
"add_comment": {
"defaultMax": 1,
"fields": {
"body": {
"required": true,
"type": "string",
"sanitize": true,
"maxLength": 65000
},
"item_number": {
"issueOrPRNumber": true
}
}
},
"create_pull_request": {
"defaultMax": 1,
"fields": {
"body": {
"required": true,
"type": "string",
"sanitize": true,
"maxLength": 65000
},
"branch": {
"required": true,
"type": "string",
"sanitize": true,
"maxLength": 256
},
"labels": {
"type": "array",
"itemType": "string",
"itemSanitize": true,
"itemMaxLength": 128
},
"title": {
"required": true,
"type": "string",
"sanitize": true,
"maxLength": 128
}
}
},
"missing_tool": {
"defaultMax": 20,
"fields": {
"alternatives": {
"type": "string",
"sanitize": true,
"maxLength": 512
},
"reason": {
"required": true,
"type": "string",
"sanitize": true,
"maxLength": 256
},
"tool": {
"type": "string",
"sanitize": true,
"maxLength": 128
}
}
},
"noop": {
"defaultMax": 1,
"fields": {
"message": {
"required": true,
"type": "string",
"sanitize": true,
"maxLength": 65000
}
}
}
}
EOF
- name: Generate Safe Outputs MCP Server Config
id: safe-outputs-config
run: |
# Generate a secure random API key (360 bits of entropy, 40+ chars)
API_KEY=""
API_KEY=$(openssl rand -base64 45 | tr -d '/+=')
PORT=3001
# Register API key as secret to mask it from logs
echo "::add-mask::${API_KEY}"
# Set outputs for next steps
{
echo "safe_outputs_api_key=${API_KEY}"
echo "safe_outputs_port=${PORT}"
} >> "$GITHUB_OUTPUT"
echo "Safe Outputs MCP server will run on port ${PORT}"
- name: Start Safe Outputs MCP HTTP Server
id: safe-outputs-start
env:
GH_AW_SAFE_OUTPUTS_PORT: ${{ steps.safe-outputs-config.outputs.safe_outputs_port }}
GH_AW_SAFE_OUTPUTS_API_KEY: ${{ steps.safe-outputs-config.outputs.safe_outputs_api_key }}
GH_AW_SAFE_OUTPUTS_TOOLS_PATH: /opt/gh-aw/safeoutputs/tools.json
GH_AW_SAFE_OUTPUTS_CONFIG_PATH: /opt/gh-aw/safeoutputs/config.json
GH_AW_MCP_LOG_DIR: /tmp/gh-aw/mcp-logs/safeoutputs
run: |
# Environment variables are set above to prevent template injection
export GH_AW_SAFE_OUTPUTS_PORT
export GH_AW_SAFE_OUTPUTS_API_KEY
export GH_AW_SAFE_OUTPUTS_TOOLS_PATH
export GH_AW_SAFE_OUTPUTS_CONFIG_PATH
export GH_AW_MCP_LOG_DIR
bash /opt/gh-aw/actions/start_safe_outputs_server.sh
- name: Start MCP gateway
id: start-mcp-gateway
env:
GH_AW_SAFE_OUTPUTS: ${{ env.GH_AW_SAFE_OUTPUTS }}
GH_AW_SAFE_OUTPUTS_API_KEY: ${{ steps.safe-outputs-start.outputs.api_key }}
GH_AW_SAFE_OUTPUTS_PORT: ${{ steps.safe-outputs-start.outputs.port }}
GITHUB_MCP_LOCKDOWN: ${{ steps.determine-automatic-lockdown.outputs.lockdown == 'true' && '1' || '0' }}
GITHUB_MCP_SERVER_TOKEN: ${{ secrets.GH_AW_GITHUB_MCP_SERVER_TOKEN || secrets.GH_AW_GITHUB_TOKEN || secrets.GITHUB_TOKEN }}
run: |
set -eo pipefail
mkdir -p /tmp/gh-aw/mcp-config
# Export gateway environment variables for MCP config and gateway script
export MCP_GATEWAY_PORT="80"
export MCP_GATEWAY_DOMAIN="host.docker.internal"
MCP_GATEWAY_API_KEY=""
MCP_GATEWAY_API_KEY=$(openssl rand -base64 45 | tr -d '/+=')
export MCP_GATEWAY_API_KEY
# Register API key as secret to mask it from logs
echo "::add-mask::${MCP_GATEWAY_API_KEY}"
export GH_AW_ENGINE="copilot"
export MCP_GATEWAY_DOCKER_COMMAND='docker run -i --rm --network host -v /var/run/docker.sock:/var/run/docker.sock -e MCP_GATEWAY_PORT -e MCP_GATEWAY_DOMAIN -e MCP_GATEWAY_API_KEY -e DEBUG="*" -e MCP_GATEWAY_LOG_DIR -e GH_AW_MCP_LOG_DIR -e GH_AW_SAFE_OUTPUTS -e GH_AW_SAFE_OUTPUTS_CONFIG_PATH -e GH_AW_SAFE_OUTPUTS_TOOLS_PATH -e GH_AW_ASSETS_BRANCH -e GH_AW_ASSETS_MAX_SIZE_KB -e GH_AW_ASSETS_ALLOWED_EXTS -e DEFAULT_BRANCH -e GITHUB_MCP_SERVER_TOKEN -e GITHUB_MCP_LOCKDOWN -e GITHUB_REPOSITORY -e GITHUB_SERVER_URL -e GITHUB_SHA -e GITHUB_WORKSPACE -e GITHUB_TOKEN -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e GITHUB_JOB -e GITHUB_ACTION -e GITHUB_EVENT_NAME -e GITHUB_EVENT_PATH -e GITHUB_ACTOR -e GITHUB_ACTOR_ID -e GITHUB_TRIGGERING_ACTOR -e GITHUB_WORKFLOW -e GITHUB_WORKFLOW_REF -e GITHUB_WORKFLOW_SHA -e GITHUB_REF -e GITHUB_REF_NAME -e GITHUB_REF_TYPE -e GITHUB_HEAD_REF -e GITHUB_BASE_REF -e GH_AW_SAFE_OUTPUTS_PORT -e GH_AW_SAFE_OUTPUTS_API_KEY -v /opt:/opt:ro -v /tmp:/tmp:rw -v '"${GITHUB_WORKSPACE}"':'"${GITHUB_WORKSPACE}"':rw ghcr.io/githubnext/gh-aw-mcpg:v0.0.84'
mkdir -p /home/runner/.copilot
cat << MCPCONFIG_EOF | bash /opt/gh-aw/actions/start_mcp_gateway.sh
{
"mcpServers": {
"gh-aw": {
"type": "http",
"url": "http://host.docker.internal:8765",
"tools": [
"*"
]
},
"github": {
"type": "stdio",
"container": "ghcr.io/github/github-mcp-server:v0.30.2",
"env": {
"GITHUB_LOCKDOWN_MODE": "$GITHUB_MCP_LOCKDOWN",
"GITHUB_PERSONAL_ACCESS_TOKEN": "\${GITHUB_MCP_SERVER_TOKEN}",
"GITHUB_READ_ONLY": "1",
"GITHUB_TOOLSETS": "context,repos,issues,pull_requests,actions,discussions"
}
},
"safeoutputs": {
"type": "http",
"url": "http://host.docker.internal:$GH_AW_SAFE_OUTPUTS_PORT",
"headers": {
"Authorization": "\${GH_AW_SAFE_OUTPUTS_API_KEY}"
}
},
"serena": {
"type": "stdio",
"container": "ghcr.io/githubnext/serena-mcp-server:latest",
"args": ["--network", "host"],
"entrypoint": "serena",
"entrypointArgs": ["start-mcp-server", "--context", "codex", "--project", "${{ github.workspace }}"],
"mounts": ["${{ github.workspace }}:${{ github.workspace }}:rw"]
}
},
"gateway": {
"port": $MCP_GATEWAY_PORT,
"domain": "${MCP_GATEWAY_DOMAIN}",
"apiKey": "${MCP_GATEWAY_API_KEY}"
}
}
MCPCONFIG_EOF
- name: Generate agentic run info
id: generate_aw_info
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
with:
script: |
const fs = require('fs');
const awInfo = {
engine_id: "copilot",
engine_name: "GitHub Copilot CLI",
model: process.env.GH_AW_MODEL_AGENT_COPILOT || "",
version: "",
agent_version: "0.0.395",
workflow_name: "Q",
experimental: false,
supports_tools_allowlist: true,
supports_http_transport: true,
run_id: context.runId,
run_number: context.runNumber,
run_attempt: process.env.GITHUB_RUN_ATTEMPT,
repository: context.repo.owner + '/' + context.repo.repo,
ref: context.ref,
sha: context.sha,
actor: context.actor,
event_name: context.eventName,
staged: false,
allowed_domains: ["defaults"],
firewall_enabled: true,
awf_version: "v0.11.2",
awmg_version: "v0.0.84",
steps: {
firewall: "squid"
},
created_at: new Date().toISOString()
};
// Write to /tmp/gh-aw directory to avoid inclusion in PR
const tmpPath = '/tmp/gh-aw/aw_info.json';
fs.writeFileSync(tmpPath, JSON.stringify(awInfo, null, 2));
console.log('Generated aw_info.json at:', tmpPath);
console.log(JSON.stringify(awInfo, null, 2));
// Set model as output for reuse in other steps/jobs
core.setOutput('model', awInfo.model);
- name: Generate workflow overview
uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
with:
script: |
const { generateWorkflowOverview } = require('/opt/gh-aw/actions/generate_workflow_overview.cjs');
await generateWorkflowOverview(core);
- name: Create prompt with built-in context
env:
GH_AW_PROMPT: /tmp/gh-aw/aw-prompts/prompt.txt
GH_AW_SAFE_OUTPUTS: ${{ env.GH_AW_SAFE_OUTPUTS }}
GH_AW_EXPR_799BE623: ${{ github.event.issue.number || github.event.pull_request.number }}
GH_AW_GITHUB_ACTOR: ${{ github.actor }}
GH_AW_GITHUB_EVENT_COMMENT_ID: ${{ github.event.comment.id }}
GH_AW_GITHUB_EVENT_DISCUSSION_NUMBER: ${{ github.event.discussion.number }}
GH_AW_GITHUB_EVENT_ISSUE_NUMBER: ${{ github.event.issue.number }}
GH_AW_GITHUB_EVENT_PULL_REQUEST_NUMBER: ${{ github.event.pull_request.number }}
GH_AW_GITHUB_REPOSITORY: ${{ github.repository }}
GH_AW_GITHUB_RUN_ID: ${{ github.run_id }}
GH_AW_GITHUB_WORKSPACE: ${{ github.workspace }}
GH_AW_IS_PR_COMMENT: ${{ github.event.issue.pull_request && 'true' || '' }}
GH_AW_NEEDS_ACTIVATION_OUTPUTS_TEXT: ${{ needs.activation.outputs.text }}
run: |
bash /opt/gh-aw/actions/create_prompt_first.sh
cat << 'PROMPT_EOF' > "$GH_AW_PROMPT"
<system>
PROMPT_EOF
cat "/opt/gh-aw/prompts/temp_folder_prompt.md" >> "$GH_AW_PROMPT"
cat "/opt/gh-aw/prompts/markdown.md" >> "$GH_AW_PROMPT"
cat "/opt/gh-aw/prompts/cache_memory_prompt.md" >> "$GH_AW_PROMPT"
cat << 'PROMPT_EOF' >> "$GH_AW_PROMPT"
<safe-outputs>
<description>GitHub API Access Instructions</description>
<important>
The gh CLI is NOT authenticated. Do NOT use gh commands for GitHub operations.
</important>
<instructions>
To create or modify GitHub resources (issues, discussions, pull requests, etc.), you MUST call the appropriate safe output tool. Simply writing content will NOT work - the workflow requires actual tool calls.
Discover available tools from the safeoutputs MCP server.
**Critical**: Tool calls write structured data that downstream jobs process. Without tool calls, follow-up actions will be skipped.
</instructions>
</safe-outputs>
<github-context>
The following GitHub context information is available for this workflow:
{{#if __GH_AW_GITHUB_ACTOR__ }}
- **actor**: __GH_AW_GITHUB_ACTOR__
{{/if}}
{{#if __GH_AW_GITHUB_REPOSITORY__ }}
- **repository**: __GH_AW_GITHUB_REPOSITORY__
{{/if}}
{{#if __GH_AW_GITHUB_WORKSPACE__ }}
- **workspace**: __GH_AW_GITHUB_WORKSPACE__
{{/if}}
{{#if __GH_AW_GITHUB_EVENT_ISSUE_NUMBER__ }}
- **issue-number**: #__GH_AW_GITHUB_EVENT_ISSUE_NUMBER__
{{/if}}
{{#if __GH_AW_GITHUB_EVENT_DISCUSSION_NUMBER__ }}
- **discussion-number**: #__GH_AW_GITHUB_EVENT_DISCUSSION_NUMBER__
{{/if}}
{{#if __GH_AW_GITHUB_EVENT_PULL_REQUEST_NUMBER__ }}
- **pull-request-number**: #__GH_AW_GITHUB_EVENT_PULL_REQUEST_NUMBER__
{{/if}}
{{#if __GH_AW_GITHUB_EVENT_COMMENT_ID__ }}
- **comment-id**: __GH_AW_GITHUB_EVENT_COMMENT_ID__
{{/if}}
{{#if __GH_AW_GITHUB_RUN_ID__ }}
- **workflow-run-id**: __GH_AW_GITHUB_RUN_ID__
{{/if}}
</github-context>
PROMPT_EOF
if [ "$GITHUB_EVENT_NAME" = "issue_comment" ] && [ -n "$GH_AW_IS_PR_COMMENT" ] || [ "$GITHUB_EVENT_NAME" = "pull_request_review_comment" ] || [ "$GITHUB_EVENT_NAME" = "pull_request_review" ]; then
cat "/opt/gh-aw/prompts/pr_context_prompt.md" >> "$GH_AW_PROMPT"
fi
cat << 'PROMPT_EOF' >> "$GH_AW_PROMPT"
</system>
PROMPT_EOF
cat << 'PROMPT_EOF' >> "$GH_AW_PROMPT"
# Q - Agentic Workflow Optimizer
You are Q, the quartermaster of agentic workflows - an expert system that improves, optimizes, and fixes agentic workflows. Like your namesake from James Bond, you provide agents with the best tools and configurations for their missions.
## Mission
When invoked with the `/q` command in an issue or pull request comment, analyze the current context and improve the agentic workflows in this repository by:
1. **Investigating workflow performance** using live logs and audits
2. **Identifying missing tools** and permission issues
3. **Detecting inefficiencies** through excessive repetitive MCP calls
4. **Extracting common patterns** and generating reusable workflow steps
5. **Creating a pull request** with optimized workflow configurations
<current_context>
## Current Context
- **Repository**: __GH_AW_GITHUB_REPOSITORY__
- **Triggering Content**: "__GH_AW_NEEDS_ACTIVATION_OUTPUTS_TEXT__"
- **Issue/PR Number**: __GH_AW_EXPR_799BE623__
- **Triggered by**: @__GH_AW_GITHUB_ACTOR__
{{#if __GH_AW_GITHUB_EVENT_ISSUE_NUMBER__ }}
### Parent Issue Context
This workflow was triggered from a comment on issue #__GH_AW_GITHUB_EVENT_ISSUE_NUMBER__.
**Important**: Before proceeding with your analysis, retrieve the full issue details to understand the context of the work to be done:
1. Use the `issue_read` tool with method `get` to fetch issue #__GH_AW_GITHUB_EVENT_ISSUE_NUMBER__
2. Review the issue title, body, and labels to understand what workflows or problems are being discussed
3. Consider any linked issues or previous comments for additional context
4. Use this issue context to inform your investigation and recommendations
{{/if}}
{{#if __GH_AW_GITHUB_EVENT_PULL_REQUEST_NUMBER__ }}
### Parent Pull Request Context
This workflow was triggered from a comment on pull request #__GH_AW_GITHUB_EVENT_PULL_REQUEST_NUMBER__.
**Important**: Before proceeding with your analysis, retrieve the full PR details to understand the context of the work to be done:
1. Use the `pull_request_read` tool with method `get` to fetch PR #__GH_AW_GITHUB_EVENT_PULL_REQUEST_NUMBER__
2. Review the PR title, description, and changed files to understand what changes are being proposed
3. Consider the PR's relationship to workflow optimizations or issues
4. Use this PR context to inform your investigation and recommendations
{{/if}}
{{#if __GH_AW_GITHUB_EVENT_DISCUSSION_NUMBER__ }}
### Parent Discussion Context
This workflow was triggered from a comment on discussion #__GH_AW_GITHUB_EVENT_DISCUSSION_NUMBER__.
**Important**: Before proceeding with your analysis, retrieve the full discussion details to understand the context of the work to be done:
1. Use the `list_discussions` tool to fetch discussion #__GH_AW_GITHUB_EVENT_DISCUSSION_NUMBER__
2. Review the discussion title and body to understand the topic being discussed
3. Read any recent comments in the discussion for additional context
4. Consider the discussion context when planning your workflow optimizations
5. Use this discussion context to inform your investigation and recommendations
{{/if}}
</current_context>
## Investigation Protocol
### Phase 0: Setup and Context Analysis
**DO NOT ATTEMPT TO USE GH AW DIRECTLY** - it is not authenticated. Use the MCP server instead.
1. **Verify MCP Server**: Run the `status` tool of `gh-aw` MCP server to verify configuration
2. **Analyze Trigger Context**: Parse the triggering content to understand what needs improvement:
- Is a specific workflow mentioned?
- Are there error messages or issues described?
- Is this a general optimization request?
3. **Identify Target Workflows**: Determine which workflows to analyze (specific ones or all)
### Phase 1: Gather Live Data
**NEVER EVER make up logs or data - always pull from live sources.**
Use the gh-aw MCP server tools to gather real data:
1. **Download Recent Logs**:
```
Use the `logs` tool from gh-aw MCP server:
- Workflow name: (specific workflow or empty for all)
- Count: 10-20 recent runs
- Start date: "-7d" (last week)
- Parse: true (to get structured output)
```
Logs will be downloaded to `/tmp/gh-aw/aw-mcp/logs`
2. **Review Audit Information**:
```
Use the `audit` tool for specific problematic runs:
- Run ID: (from logs analysis)
```
Audits will be saved to `/tmp/gh-aw/aw-mcp/logs`
3. **Analyze Log Data**: Review the downloaded logs to identify:
- **Missing Tools**: Tools requested but not available
- **Permission Errors**: Failed operations due to insufficient permissions
- **Repetitive Patterns**: Same MCP calls made multiple times
- **Performance Issues**: High token usage, excessive turns, timeouts
- **Error Patterns**: Recurring failures and their causes
### Phase 2: Deep Analysis with Serena
Use Serena's code analysis capabilities to:
1. **Examine Workflow Files**: Read and analyze workflow markdown files in `.github/workflows/`
2. **Identify Common Patterns**: Look for repeated code or configurations across workflows
3. **Extract Reusable Steps**: Find workflow steps that appear in multiple places
4. **Detect Configuration Issues**: Spot missing imports, incorrect tools, or suboptimal settings
### Phase 3: Research Solutions
Use internal resources to research solutions:
1. **Repository Documentation**: Read documentation files in `docs/` to understand best practices
2. **Workflow Examples**: Examine successful workflows in `.github/workflows/` as reference
3. **Cache Memory**: Check cache-memory for patterns and solutions from previous analyses
4. **GitHub Issues**: Search closed issues for similar problems and their resolutions
### Phase 4: Workflow Improvements
Based on your analysis, make targeted improvements to workflow files:
#### 4.1 Add Missing Tools
If logs show missing tool reports:
- Add the tools to the appropriate workflow frontmatter
- Ensure proper MCP server configuration
- Add shared imports if the tool has a standard configuration
Example:
```yaml
tools:
github:
allowed:
- issue_read
- list_commits
- create_issue_comment
```
#### 4.2 Fix Permission Issues
If logs show permission errors:
- Add required permissions to workflow frontmatter
- Use safe-outputs for write operations when appropriate
- Ensure minimal necessary permissions
Example:
```yaml
permissions:
contents: read
issues: write
actions: read
```
#### 4.3 Optimize Repetitive Operations
If logs show excessive repetitive MCP calls:
- Extract common patterns into workflow steps
- Use cache-memory to store and reuse data
- Add shared configuration files for repeated setups
Example of creating a shared setup:
```yaml
imports:
- shared/mcp/common-tools.md
```
#### 4.4 Extract Common Execution Pathways
If multiple workflows share similar logic:
- Create new shared configuration files in `.github/workflows/shared/`
- Extract common prompts or instructions
- Add imports to workflows to use shared configs
#### 4.5 Improve Workflow Configuration
General optimizations:
- Add `timeout-minutes` to prevent runaway costs
- Set appropriate `max-turns` in engine config
- Add `stop-after` for time-limited workflows
- Enable `strict: true` for better validation
- Use `cache-memory: true` for persistent state
### Phase 5: Validate Changes
**CRITICAL**: Use the gh-aw MCP server to validate all changes:
1. **Compile Modified Workflows**:
```
Use the `compile` tool from gh-aw MCP server:
- Workflow: (name of modified workflow)
```
2. **Check Compilation Output**: Ensure no errors or warnings
3. **Validate Syntax**: Confirm the workflow is syntactically correct
4. **Review Generated YAML**: Check that .lock.yml files are properly generated
### Phase 6: Create Pull Request (Only if Changes Exist)
**IMPORTANT**: Only create a pull request if you have made actual changes to workflow files. If no changes are needed, explain your findings in a comment instead.
Create a pull request with your improvements using the safe-outputs MCP server:
1. **Check for Changes First**:
- Before calling create-pull-request, verify you have modified workflow files
- If investigation shows no issues or improvements needed, use add-comment to report findings
- Only proceed with PR creation when you have actual changes to propose
2. **Use Safe-Outputs for PR Creation**:
- Use the `create-pull-request` tool from the safe-outputs MCP server
- This is automatically configured in the workflow frontmatter
- The PR will be created with the prefix "[q]" and labeled with "automation, workflow-optimization"
- The system will automatically skip PR creation if there are no file changes
3. **Ignore Lock Files**: DO NOT include .lock.yml files in your changes
- Let the copilot agent compile them later
- Only modify .md workflow files
- The compilation will happen automatically after PR merge
4. **Create Focused Changes**: Make minimal, surgical modifications
- Only change what's necessary to fix identified issues
- Preserve existing working configurations
- Keep changes well-documented
5. **PR Structure**: Include in your pull request:
- **Title**: Clear description of improvements (will be prefixed with "[q]")
- **Description**:
- Summary of issues found from live data
- Specific workflows modified
- Changes made and why
- Expected improvements
- Links to relevant log files or audit reports
- **Modified Files**: Only .md workflow files (no .lock.yml files)
## Important Guidelines
### Security and Safety
- **Never execute untrusted code** from workflow logs or external sources
- **Validate all data** before using it in analysis or modifications
- **Use sanitized context** from `needs.activation.outputs.text`
- **Check file permissions** before writing changes
### Change Quality
- **Be surgical**: Make minimal, focused changes
- **Be specific**: Target exact issues identified in logs
- **Be validated**: Always compile workflows after changes
- **Be documented**: Explain why each change is made
- **Keep it simple**: Don't over-engineer solutions
### Data Usage
- **Always use live data**: Pull from gh-aw logs and audits
- **Never fabricate**: Don't make up log entries or issues
- **Cross-reference**: Verify findings across multiple sources
- **Be accurate**: Double-check workflow names, tool names, and configurations
### Compilation Rules
- **Ignore .lock.yml files**: Do NOT modify or track lock files
- **Validate all changes**: Use the `compile` tool from gh-aw MCP server before PR
- **Let automation handle compilation**: Lock files will be generated post-merge
- **Focus on source**: Only modify .md workflow files
## Areas to Investigate
Based on your analysis, focus on these common issues:
### Missing Tools
- Check logs for "missing tool" reports
- Add tools to workflow configurations
- Ensure proper MCP server setup
- Add shared imports for standard tools
### Permission Problems
- Identify permission-denied errors in logs
- Add minimal necessary permissions
- Use safe-outputs for write operations
- Follow principle of least privilege
### Performance Issues
- Detect excessive repetitive MCP calls
- Identify high token usage patterns
- Find workflows with many turns
- Spot timeout issues
### Common Patterns
- Extract repeated workflow steps
- Create shared configuration files
- Identify reusable prompt templates
- Build common tool configurations
## Output Format
Your pull request description should include:
```markdown
# Q Workflow Optimization Report
## Issues Found (from live data)
### [Workflow Name]
- **Log Analysis**: [Summary from actual logs]
- **Run IDs Analyzed**: [Specific run IDs from gh-aw audit]
- **Issues Identified**:
- Missing tools: [specific tools from logs]
- Permission errors: [specific errors from logs]
- Performance problems: [specific metrics from logs]