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.
npx skills add mohitagw15856/pm-claude-skills --skill ai-code-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. ## 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 Ask for (if not already provided): - **The diff or PR** (or the files changed) - **Provenance honestly**: fully agent-written, human-piloted, or mixed — and whether the *author reviewed it themselves* before requesting review - **The codebase context**: existing conventions/utilities the AI may not have known, and what the change claims to do - **Test infrastructure**: what CI actually runs (the AI may have written tests CI never executes) ## The AI-
- What This Skill Produces
- Required Inputs
- The AI-Characteristic Failure Modes
- Output Format
- AI Code Review: [PR/change] — provenance: [stated]
- Quality Checks
- Anti-Patterns
What does the ai-code-review skill do?
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.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-code-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.