A professional-grade AI skill designed to perform systematic code reviews, verify CI/CD status, and identify security or performance bottlenecks.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install terrycode-review
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 terrycode-review using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Code Review Skill is a specialized tool within the Openclaw Skills ecosystem that automates the rigorous process of evaluating software changes. It goes beyond simple syntax checking by integrating directly with GitHub via the CLI to assess Pull Request health, investigate CI/CD failures, and provide multi-dimensional feedback. It ensures that every line of code meets high standards for readability, security, and maintainability.
By leveraging this skill, teams can maintain a high velocity without sacrificing quality. It acts as a primary gatekeeper, identifying critical issues such as N+1 queries, resource leaks, and OWASP vulnerabilities before a human reviewer even opens the PR. This systematic approach transforms the review process into an educational opportunity for developers while keeping the codebase clean and robust.
Ensure you have the GitHub CLI installed and authenticated for full integration within Openclaw Skills:
# Install GitHub CLI (macOS example)
brew install gh
# Authenticate with your GitHub account
gh auth login
# Ensure Git is available in your environment
git --version
The skill organizes its review output and internal logic based on the following taxonomy:
| Category | Description |
|---|---|
| CI/CD Status | Summary of GitHub Actions or CircleCI check results. |
| Critical Issues | High-priority bugs, security flaws, or breaking changes. |
| Warnings | Recommended improvements for better stability or standards. |
| Good Practices | Positive reinforcement for well-implemented patterns. |
| Suggestions | Optional enhancements for future-proofing or elegance. |
gh run view --log-failed.Loading
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