Provides a structured workflow for planning and executing code reviews like a senior engineer. Use when asked to review code, PRs, or plan a code review task.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Code Review Skill
## Workflow
1. **Understand**: Read context (ticket, PR description) and identifiy scope.
2. **Execute**: Use the checklist in [references/checklist.md](references/checklist.md).
- Core areas: Quality, Security, Performance, Maintainability.
3. **Tools**: Run project-specific linting and testing commands (e.g., `just lint`, `npm test`, `pytest`); use static analysis if available.
4. **Document**: Provide constructive feedback with rationale and suggestions.
5. **Follow Up**: Track and verify fixes.
## References
- `checklist.md`: Detailed review criteria.
The line at the top of this page pins the label git:20260113.222b7de, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_eobspvjkctcopz23
GET https://markdownregistry.com/api/v1/resolve?ref=aiskillstore/marketplace/review-code
GET https://markdownregistry.com/api/v1/blob/69ecfa9a922f24307e4e435db9ba4fbe6d7481822d2cff6f592a6bc145921f92
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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