
omc-review
Evaluate finished work for defects, risk, and simplification before it ships
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill omc-review- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads omc-review automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Review
Use this skill to evaluate work that already exists. Review never authors the change it is judging.
This is the canonical review workflow. 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
Two axes, run apart
A substantial diff is reviewed as two parallel sub-agent passes, reported separately — never merged or cross-ranked, because a change can pass one axis and fail the other (standards-conforming but wrong behavior; faithful but convention-breaking):
- Standards axis — the diff against the repo's documented standards plus a judgement-call-only smell baseline; anything tooling already enforces is skipped. The standards set is discovered, not assumed: search the repo for standards documents (CLAUDE.md/AGENTS.md,
docs/standards/volumes,CONTRIBUTING.md,CODING_STANDARDS.mdor equivalents) and review against whatever exists — a standards file you didn't look for is a standard you didn't apply. - Intent axis — the diff against what the work was meant to do — the task, spec, or ticket acceptance criteria: requirements missing or partial, behavior nobody asked for, each finding quoting its source line.
Keep each sub-agent brief under ~400 words and pointed at one axis. Aggregate without picking a single winner across axes — that reranking is what the separation exists to prevent; state each axis's verdict on its own. A small diff stays one pass.
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
FAQ
What does the omc-review skill do?
Evaluate finished work for defects, risk, and simplification before it ships
How do I install omc-review?
Run npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill omc-review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/omc-review/ (personal) or .claude/skills/omc-review/ (project).
Which AI agents can use omc-review?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is omc-review safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains omc-review?
It is published by yeachan-heo in yeachan-heo/oh-my-claudecode. It has 244 recorded installs.
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