langchain-ai/deepagents213 installs
code-review
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
How do I install this agent skill?
npx skills add https://github.com/langchain-ai/deepagents --skill code-reviewIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides a structured framework for code reviews, including checklist validation and automated linting. It is designed to run standard development tools like pytest and ruff within the local environment.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
Code Review Skill
Use this skill after implementing changes to validate your work before delivering.
Review Checklist
1. Correctness
- Changes solve the original issue/task
- No unintended side effects on existing functionality
- Edge cases are handled
- Error handling is appropriate (not excessive)
2. Code Quality
- Code matches existing style and patterns
- No unnecessary complexity or abstraction
- Variable and function names are clear
- No dead code, commented-out code, or TODOs left behind
3. Tests
- New functionality has test coverage
- Existing tests still pass
- Tests cover both happy path and error cases
- Tests are not brittle (don't test implementation details)
4. Safety
- No hardcoded secrets or credentials
- User input is validated at boundaries
- No SQL injection, XSS, or command injection vectors
- File operations use safe paths
Process
- Read each modified file end-to-end (not just the diff)
- Run the test suite:
execute("python -m pytest -v") - Run linters if available:
execute("ruff check .") - Run the bundled lint check:
execute("python /skills/code-review/lint_check.py .") - Check against each item in the review checklist
- If any issues found, fix them and re-review
- When everything passes, the review is complete
Helper Scripts
/skills/code-review/lint_check.py— Scans Python files for missing docstrings, long functions (>50 lines), and bareexcept:clauses. Run it viaexecute("python /skills/code-review/lint_check.py [path ...]").
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/langchain-ai/deepagents/code-review">View code-review on skillZs</a>