Individual skill
ai-code-review
Review AI-authored code for its characteristic failure modes — plausible-but-wrong logic, hallucinated APIs, over-engineering, dead scaffolding, and silent security shortcuts. Use when reviewing an AI-generated or heavily AI-assisted PR, when AI-written code keeps shipping subtle bugs, or when setting review standards for a team using coding agents. Produces a focused review with AI-specific findings, verification steps per risk class, and a team checklist for AI-authored changes. For general PR review use code-review-checklist — this skill covers what that one assumes a human wouldn't do.
plugins/pm-engineering/skills/ai-code-review/SKILL.md
Source commit f7c90bc09ee05dc25cf257bdb1826f2c2552c2cb
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- 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 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,540
- Repository last updated
- Nov 10, 2026
- License
- MIT
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# AI Code Review Skill
Human code fails where the human got tired or didn't know; AI code fails where *plausibility diverged from correctness* — and it fails fluently, with confident naming, clean formatting, and tests that pass without testing anything. Reviewing it with human-code instincts ("looks careful, probably is careful") is how the new bug class ships. This skill reviews for the failure modes that are characteristically AI.
> **Not quite this?** Use `code-review-guide` when the code was written by people and needs a general review.
## What This Skill Produces
- A **review of the change** organised by AI-characteristic risk, each finding with file/line and severity
- **Verification steps** the reviewer must actually run (not read) per risk class
- A **team checklist** for AI-authored PRs, calibrated to this codebase
## Required Inputs
