Individual skill
review-code
Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Use for pull requests, branches, commits, patches, or working-tree reviews; do not use for implementation unless the user separately requests fixes.
plugins/Phelan164/codex-howto/skills/review-code/SKILL.md
Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 1,537
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-coding Repository topic
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SKILL.mdcore · 2,349 bytesagents/openai.yamlasset · 224 bytesreferences/review-checklist.mddoc · 1,581 bytesreferences/review-lenses.mddoc · 1,372 bytes
Read excerpt
# Review Code
## Workflow
1. Establish the review target and comparison base.
2. Inspect the diff, then trace changed behavior through callers, contracts,
persistence, side effects, and tests.
3. Inspect the target, isolation, fixtures, and side effects before running a
narrow check that materially confirms a suspected issue.
4. Rank findings by impact and confidence; remove duplicates and speculation.
5. Return findings first, followed by open questions and a short summary.
Use correctness as the default lens. For large, risky, or requirement-heavy
changes, add the standards and specification lenses in