Review
SkillAI & modelsomc-review is a skill that lets an AI agent evaluate finished work before it ships. It checks the work for defects and risks, and looks for simpler approaches that could replace what was produced. The result is a review pass the agent runs on completed output rather than on work in progress.
Use Review in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Review and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Review skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an AI agent setup that supports loading skills.
What your AI can do with it
- Evaluate finished work for defects before it ships
- Identify risks in completed output
- Suggest simpler approaches to finished work
Getting started
- Have an AI agent setup that supports loading skills.
- Add the omc-review skill to the agent's available skills.
- Ask the agent to review finished work with omc-review before shipping it.
What this skill tells your AI
The instructions your AI receives, as published by yeachan-heo/oh-my-claudecode in skills/review/SKILL.md and read by ahel’s review.
Use this skill to evaluate work that already exists. Review never authors the change it is judging.
This is the canonical review workflow. merge-readiness routes here, and
ai-slop-cleaner is an opt-in lane within it.
Goal
Find what is actually wrong, ranked by severity, with enough detail to act on.
Workflow
- Establish what changed and what it was meant to do.
- Read the change against that intent.
- Check correctness first, then risk, then simplification.
- Verify each candidate finding before reporting it.
- Report findings most-severe first.
What to check
- Correctness — logic defects, edge cases, error paths, concurrency
- Risk — security boundaries, destructive operations, data integrity
- Reuse — existing utilities or patterns the change should have used
- Simplification — code that could be deleted or collapsed
- Coverage — behavior that ships untested
Rules
- Separate lanes: the reviewer must not be the author's same active context.
- Verify before reporting. A plausible-sounding finding that does not reproduce is noise.
- State severity honestly; do not pad the list to look thorough.
- "No findings" is a valid result when the work is sound.
- Advisory by default — review informs, it does not gate. Hard gates (release, security, destructive operations) stay separate and fail closed.
Output
- Findings, most-severe first, each with file, line, and concrete failure scenario
- What was checked and found clean
- Anything that could not be assessed
Signals
- GitHub stars
- 39k
- Forks
- 4k
- Last commit
- Oct 2026
Questions
- What does omc-review do?
- It lets an agent evaluate finished work for defects, risk, and simplification before it ships.
- When should the review run?
- On work that is already finished, as a final check before it ships.
Advanced
- Item type
- skill
- Key
omc-review- Source
- github.com/yeachan-heo/oh-my-claudecode
github.com/yeachan-heo/oh-my-claudecode
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