reviewkit
SolidReview AI-agent-implemented code specifically — four ordered passes for convention-fit, agent-slop signatures, requirement-completeness, then correctness — against the working tree or the branch diff, findings ranked by severity and backed by quoted evidence. Use when the user says "review this code", "review my changes", "review this diff", "check the agent's work", "/reviewkit", or wants a self-review of AI-written changes before commit or PR — even if they don't name the passes.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- mimukit
- Repository
- mimukit/skills
- Created
- 2 weeks ago
- Last Updated
- 2 days ago
- Language
- Shell
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
agent-code-review
Use an agent to review a diff productively, with the right scope, framing, and scepticism about its findings. Use when reviewing your own changes before requesting human review.
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.
code-review
Review changed code for correctness bugs — logic errors, nil/error handling, concurrency, resource leaks, edge cases, broken invariants. Reports findings first, ordered by severity, then fixes on request. Scoped to correctness, not quality or style cleanups. Use when the user says "code review", "review my changes", "any bugs", "find bugs", or asks whether a change is correct.