본문으로 건너뛰기
cccskills
무료GitHub에 공개

omc-review

Review completed code changes for defects, security risks, unnecessary complexity, and missing tests. Findings are verified and reported with severity, file locations, and concrete failure scenarios, with separate assessments of standards and intended behavior for larger changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Evaluate finished work for defects, risk, and simplification before it ships

설치 방법 보기

이럴 때 유용합니다

  • Checking completed changes before release
  • Reviewing compliance with documented development standards
  • Checking implementation against ticket requirements
  • Finding code that could be reused or simplified

포함된 파일(1)

  • SKILL.md2.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

  1. Establish what changed and what it was meant to do.
  2. Read the change against that intent.
  3. Check correctness first, then risk, then simplification.
  4. Verify each candidate finding before reporting it.
  5. 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.md or 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

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Write or revise instructions, specifications, tickets, and skill files so an agent can act without prior chat history. Make rules checkable, explain their reasons, define completion criteria, and keep authoritative information in one place.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Clarifying instructions in CLAUDE.md
  • Making specifications and tickets actionable
  • Adding completion criteria to skill procedures
Yeachan-Heo/oh-my-claudecode4만2026년 10월 23일 업데이트

Simplify bloated AI-generated code by removing dead code, duplicated logic, and unnecessary layers while checking that existing behavior stays intact. Use a limited cleanup scope, verify changes with relevant checks, or request a review without edits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Removing duplicate logic and unused code
  • Simplifying unnecessary wrappers without changing behavior
  • Cleaning up only a specified set of changed files
Yeachan-Heo/oh-my-claudecode4만2026년 10월 23일 업데이트

Review module relationships and change history to identify structural improvements in a codebase. Receive ranked candidates with file references, suggested changes, and risks, plus a recommendation for where to start, without modifying code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing architecture after a batch of changes
  • Investigating changes that touch too many files
  • Prioritizing structural improvements
Yeachan-Heo/oh-my-claudecode4만2026년 10월 23일 업데이트

ask

무료

Send questions, review requests, or implementation tasks to a supported local AI command-line tool through one shared command. The wrapper handles provider-specific options and saves the result as a Markdown file for later reference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Requesting a security review of a patch
  • Seeking UX suggestions for a user flow
  • Drafting an implementation plan for an issue
Yeachan-Heo/oh-my-claudecode4만2026년 10월 23일 업데이트

Turn an unclear idea into linked decision tickets on a repository’s issue tracker. Work through one decision per session, record outcomes and dependencies, and prepare a brief defining the objective, scope, and exclusions for delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Clarifying the destination of an early idea
  • Mapping decisions and their dependencies
  • Resuming unresolved decisions across sessions
Yeachan-Heo/oh-my-claudecode4만2026년 10월 23일 업데이트

autopilot

무료

Turn a short product idea into working code through requirements analysis, technical planning, implementation, testing, and review. It coordinates agents across these stages, fixes detected problems, and reports assumptions that still need a human decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Building a product from a short idea
  • Creating a bookstore inventory API
  • Developing a habit-tracking command-line tool
Yeachan-Heo/oh-my-claudecode4만2026년 10월 23일 업데이트

Yeachan-Heo의 스킬 모두 보기

이 스킬의 문제 신고