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.

skills/review-code/SKILL.md

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Last checked: Nov 4, 2026

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Repository stars (not skill ratings): 20
Repository last updated: Nov 6, 2026
License: MIT

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ai-agents Repository topic
codex Repository topic
codex-cli Repository topic
developer-tools Repository topic
openai Repository topic
agentic-workflows Repository topic
code-review Repository topic
coding-agents Repository topic
devops Repository topic
openai-codex Repository topic
data Derived category
security Derived category

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SKILL.mdcore · 2,349 bytes
agents/openai.yamlasset · 224 bytes
references/review-checklist.mddoc · 1,581 bytes
references/review-lenses.mddoc · 1,372 bytes

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# 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