langchain-ai/code-review
examples/deploy-coding-agent/skills/code-review/SKILL.md
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
$ install --global
skillsauthnpx skillsauth add langchain-ai/deepagents code-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 15, 2026, 1:20 PM6.1s2 files scanned
SKILL.md
- name:
- code-review
- description:
- Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
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 ...]").
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