A diagnostic tool that scores the reliability of GitHub Actions workflows on protected branches to detect silent delivery degradation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-actions-mainline-health-audit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-actions-mainline-health-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GitHub Actions Mainline Health Audit?
The GitHub Actions Mainline Health Audit is a specialized technical tool designed to maintain high delivery confidence by monitoring the stability of your most critical branches. By analyzing historical run data through Openclaw Skills, it identifies unstable workflows that often go unnoticed in fast-moving development environments.
This skill goes beyond simple pass/fail checks by calculating a risk score based on failure frequency, consecutive failure streaks, and the time elapsed since the last successful run. It allows engineering teams to establish a proactive health monitoring system for main, master, and release branches, ensuring that the core of your software delivery pipeline remains robust and reliable.
GitHub Actions Mainline Health Audit Use Cases
- Identifying flaky CI/CD workflows that intermittently fail on protected mainline branches.
- Monitoring the reliability of release branches prior to a major software deployment.
- Detecting stale success risks where critical workflows haven't run successfully in several days.
- Automating quality gates in operations dashboards to block deployments when mainline health scores drop.
How GitHub Actions Mainline Health Audit Works
- The skill ingests GitHub Actions run metadata exported as JSON files from a specified artifact directory.
- It applies configurable regex filters to target specific branches, repositories, workflows, or event types.
- The engine groups data by repository, workflow name, branch, and event to provide granular stability insights.
- It calculates a risk score using metrics including failure rate percentage and current consecutive failure streaks.
- The tool generates a ranked text report or a machine-readable JSON object to flag critical stability issues.
GitHub Actions Mainline Health Audit Setup
To utilize this skill within Openclaw Skills, first ensure you have the GitHub CLI installed. Collect your workflow run data using the following command:
gh run view <run-id> --json databaseId,workflowName,event,conclusion,headBranch,headSha,createdAt,updatedAt,startedAt,url,repository > artifacts/github-actions/run-<run-id>.json
Execute the audit script to generate a health report:
RUN_GLOB='artifacts/github-actions/*.json' \
MAINLINE_BRANCH_MATCH='^(main|master|release.*)$' \
bash skills/github-actions-mainline-health-audit/scripts/mainline-health-audit.sh
GitHub Actions Mainline Health Audit Data Schema & Taxonomy
The skill processes JSON objects containing GitHub Actions metadata. The primary fields analyzed include:
| Field | Description |
|---|---|
workflowName |
The identifier for the GitHub Action workflow |
headBranch |
The branch associated with the run (e.g., main, release) |
conclusion |
The result of the run (success, failure, etc.) |
createdAt |
Timestamp used to determine staleness of successful runs |
repository |
The source repository for the workflow run |
The output produces a ranked summary containing risk scores, total run counts, and failure percentages for each workflow group.
GitHub Actions Mainline Health Audit Advanced Features
- Configurable risk thresholds for warning and critical failure percentages to match team standards.
- Deep filtering capabilities using regex for workflows, events, specific SHAs, and branch names.
- Automated CI gatekeeping using the FAIL_ON_CRITICAL environment variable to trigger non-zero exit codes.
- Support for custom JSON output formats to integrate directly with internal developer portals or dashboards.
- Historical analysis of failure streaks to distinguish between temporary infrastructure issues and systemic code instability.
SKILL.md
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