Reviewing Code
Get code review from Codex AI for implementation quality, bug detection, and best practices.
by julianobarbosa · MIT
The skill
Get code review from Codex AI for implementation quality, bug detection, and best practices. Use when asked to review code, check for bugs, find security issues, or get feedback on implementation patterns.
Code Review with Codex
Use mcp__codex__spawn_agent for code review.
When to Use
- Review code quality and patterns
- Find potential bugs or edge cases
- Validate against best practices
- Check for security issues
Usage
{
"prompt": "Review this code for [quality/bugs/security]: [code or file]"
}
Prompt Examples
- "Review for code quality and Go best practices: [code]"
- "Analyze for security vulnerabilities: [code]"
- "Review for performance issues: [code]"
- "Does this follow idiomatic patterns? [code]"
Gotchas
- Codex review is non-deterministic — same code with different invocations gets different priority orderings; pin model version when reproducibility matters.
- Codex doesn't see staged-but-uncommitted changes by default — pass them explicitly via
--include-stagedor piped diff. - Diff-only review misses cross-file effects — a renamed function's callsite in another file isn't in the diff, so the rename's blast radius isn't surfaced.
- Review output ranks by Codex's internal severity heuristic — not by user-defined priority; re-rank manually for project-specific concerns.
- Whitespace-only diffs trigger reviews — pass
--ignore-whitespaceor you get noise. - Large diffs (>500 LOC) get summarized, not reviewed line-by-line — split into focused reviews per file group.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: julianobarbosa/reviewing-code-92438846526.
Details
- Publisher
- julianobarbosa
- Category
- Software Development › Source control & code review
- License
- MIT
- Updated
- 2026-10-14
References
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