A specialized linter for GitHub Actions YAML files to detect security risks, deprecated actions, and syntax errors.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-actions-linter
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install github-actions-linter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a comprehensive suite of tools for validating GitHub Actions workflow files. By utilizing the provided Python script, developers can perform deep audits on their CI/CD pipelines to ensure adherence to best practices and security standards. It is an essential component for teams using Openclaw Skills to automate their development lifecycle, offering detection for shell injection, hardcoded secrets, and outdated action versions.
To install and use this skill within Openclaw Skills, ensure you have Python 3 installed. You can execute the linter directly from your terminal using the following commands:
# Run general linting on a directory
python3 scripts/gha_linter.py lint .github/workflows/ --strict
# Run a security audit on a specific file
python3 scripts/gha_linter.py security .github/workflows/main.yml
# Check for deprecated actions
python3 scripts/gha_linter.py deprecated .github/workflows/main.yml
The skill produces structured feedback regarding workflow health. It categorizes issues based on a set of 28 predefined rules:
| Category | Rules Covered |
|---|---|
| Syntax & Structure | Missing triggers, empty jobs, circular dependencies, and missing runs-on labels. |
| Security | Shell injection detection, hardcoded secrets, permissive permissions, and untrusted contexts. |
| Deprecated | Outdated action versions, deprecated runner labels, and legacy command usage. |
| Best Practices | Timeout settings, step naming, concurrency management, and runner optimization. |
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