code-review
Review local git changes before opening a PR or merging. First review all local tracked and untracked files; if none exist, review the current branch against a requested base branch or the Git Town parent branch. Use zero to three review subagents only when risk, diff size, langu
공급 자산 프로필
리서치 및 지식 작업
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
시나리오
리서치 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
Agent 적합도
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI 또는 맞춤형 Agent에 적합합니다.
설치
준비됨
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
유지보수
최신
마지막 푸시 후 4일
위험
검토 필요
Dependency or permission surface needs review
GitHub 품질
13
58/100 품질 · 67/100 신뢰
커버리지 태그
검토 메모
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent 채택 스코어카드
신뢰, 감사, 설치 준비 상태를 한눈에 확인하세요
이 점수는 공개 저장소 메타데이터, OpenAgentSkill 검토 신호, 유지보수 최신성, 설치 준비 상태를 결합합니다. 후보 선정 신호일 뿐, 사람의 검토를 대체하지 않습니다.
품질
유망유용한 후보이지만 채택 전에 대안과 비교하세요.
신뢰
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
감사
검토 필요설치 준비 상태, 보안 메타데이터, 유지보수 및 채택 위험에 대한 기계 판독형 검토입니다.
OpenAgentSkill 신뢰 점수 v5
설치 전 사람 검토
Choose a stronger alternative or inspect the source manually before any install attempt.
스타
GitHub 스타 13
저장소 활동
스타 13, 포크 0
유지보수
마지막 푸시 후 4일
라이선스
MIT
설치
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
설치 안전성
표준 패키지 또는 런타임 설치 경로
권한 범위
secrets or environment access, shell or command execution
Agent 결과
아직 Agent 결과 데이터가 없습니다
문서
README/SKILL.md 맥락이 충분합니다
위험 요약
프로덕션 전 검토
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 13 GitHub stars
설치 준비 상태
설치 경로 사용 가능
- 설치 경로를 사용할 수 있습니다
- 저장소 근거를 사용할 수 있습니다
- 라이선스가 명시되었습니다
- 아직 Agent 검증 결과 근거가 없습니다
Agent 읽기용 메타데이터
이 스킬의 기계 판독형 의사결정 데이터.
이 블록 또는 포함된 JSON을 사용해 Agent가 이 스킬을 설치할지, 대안을 고를지, 먼저 사람의 검토를 요청할지 판단할 수 있습니다.
적합한 작업
- 리서치 Agent 워크플로
- Claude Code 팀
- builders willing to evaluate younger projects
- 검색 소스
적합한 Agent
설치 결정
- 명령어
- npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
- 정책
- 차단
- 사람 검토
- 예
신뢰와 위험
- 신뢰
- 59/100
- 감사
- 73/100
- 위험 수준
- 검토 필요
결과 루프
- 엔드포인트
- /api/agent/outcome
- 이벤트 ID
- resolve
- 결과
- 5
설치 명령어
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review사용하지 말아야 할 경우
- 벤더 지원 SLA가 필요한 팀
- production agents without a repository review
- Low GitHub adoption signal
- 고위험 권한 힌트: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Agent 안전 v2
29/100 · 자동 설치 피하기
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
높음
Shell 또는 명령 실행
Skill 메타데이터가 터미널, CLI, Shell, 하위 프로세스 또는 명령 실행 워크플로를 참조합니다.
중간
네트워크 접근
Skill은 원격 페이지, API, 저장소 또는 외부 서비스에 접근할 수 있습니다.
중간
파일 시스템 접근
Skill은 프로젝트 파일, 문서, 생성 산출물 또는 로컬 작업 공간 상태를 읽거나 쓸 수 있습니다.
높음
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- 고위험 권한 힌트: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
설치 대상
Agent 워크플로에 이 스킬 설치
공개 설치 엔드포인트에서 명령어, 안전 체크리스트, 대상 프롬프트와 정규 링크를 가져옵니다.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install rijkvanzanten-code-reviewAgent 해결 계획
설치 전에 Agent가 적합성을 검증하게 하세요.
Resolve API는 최우선 스킬, 대안, 안전 정책, 감사 메모, 설치 대상 및 Agent가 페이지를 스크래핑하지 않고 사용할 수 있는 프롬프트를 반환합니다.
JSON 열기
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 텍스트
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
설치 핸드오프
/api/skills/rijkvanzanten-code-review/install
Agent가 확인할 항목
- Resolve API에서 작업 적합도와 대안을 확인합니다.
- 감사 점수, 신뢰 점수 및 안전 정책 경고를 확인합니다.
- Codex, Claude Code, Cursor 또는 CLI의 설치 대상 호환성을 확인합니다.
프롬프트 복사
Task: Use code-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/rijkvanzanten-code-review/install
Install command: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 핸드오프
또 다른 디렉터리 페이지 대신 설치 경로를 Agent에게 제공합니다.
공개 설치 엔드포인트에서 명령어, 안전 체크리스트, 대상 프롬프트와 정규 링크를 가져옵니다.
설치 핸드오프
/api/skills/rijkvanzanten-code-review/install
LLM 텍스트 형식
/api/skills/rijkvanzanten-code-review/install?format=text
대안 찾기
/api/skills/search?q=code-review&limit=3
Agent 프롬프트
Use code-review for this task. Review https://www.openagentskill.com/api/skills/rijkvanzanten-code-review/install, then install with: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-reviewRegistry 메타데이터
자동 스킬 선택을 위한 Agent 읽기용 프로필.
Registry API를 통해 동일한 결정, 신뢰, 감사, 사용 사례, 설치 신호를 제공하므로 Agent가 UI를 스크래핑하지 않고도 순위를 매길 수 있습니다.
Agent 결정 패널
Fallback candidate for Research agents
먼저 이 스킬로 프로토타입을 만들고 대체 후보를 준비하세요.
스택 내 역할
대체 후보
주요 적합도
리서치 Agent
신뢰 라벨
먼저 프로토타입
설치 경로
명령어 준비됨
사용 시점
- 리서치 Agent 워크플로
- Claude Code 팀
- builders willing to evaluate younger projects
근거
- 최근 저장소 활동
- 설치 명령 또는 GitHub 저장소를 사용할 수 있습니다
- 품질 프로필 58/100
- OpenAgentSkill 상호작용 6건
먼저 검토
- Low GitHub adoption signal
구현 경로
- 1샌드박스 Agent에 설치하고 리서치 Agent 작업을 처음부터 끝까지 한 번 실행하세요.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
신뢰 프로필
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 채택도
수정GitHub 스타 13
스타/포크 활동
수정스타 13, 포크 0; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다
최근 유지보수
통과마지막 푸시 후 4일
라이선스 명확성
통과MIT
긍정 신호
- AI 검토 승인됨
- 설치 경로를 사용할 수 있습니다
- 저장소 근거를 사용할 수 있습니다
- 최근 유지보수된 저장소
- 설치 명령에서 뚜렷한 고위험 패턴이 발견되지 않았습니다
- 결과 루프는 준비되었지만 첫 실제 Agent 실행이 필요합니다
설치 전 검토
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 13 GitHub stars
- Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- 아직 실제 Agent 결과 보고서가 없습니다
- 무인 설치 전에 사람 검토가 필요합니다
권장 작업
Choose a stronger alternative or inspect the source manually before any install attempt.
품질 프로필
유망 Agent 워크플로용 후보
유용한 후보이지만 채택 전에 대안과 비교하세요.
워크플로 적합도
이 스킬을 사용할 시나리오
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
워크플로 적합도
완전한 워크플로에 추가
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
대안 후보
설치 전 비교
이 작업에 적합할 수 있는 유사 스킬입니다.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
개요
--- name: code-review description: Review local git changes before opening a PR or merging. First review all local tracked and untracked files; if none exist, review the current branch against a requested base branch or the Git Town parent branch. Use zero to three review subagents only when risk, diff size, language specificity, or uncertainty justifies the token cost, then report high-confidence bugs, regressions, risky assumptions, and missing tests. Use when the user asks for code review, local review, branch sanity check, pre-PR review, or review of work-in-progress changes. ---
# Code Review
## Overview
Review local changes as a reviewer, not as an implementer. Prefer the smallest current review surface: local worktree changes first, then branch changes against a base branch only when the worktree has no tracked or untracked changes. When no base branch is named, use the Git Town parent branch before falling back to the default branch. Local worktree review includes staged tracked changes, unstaged tracked changes, and untracked files. Start with a local review pass, then use zero to three language/risk-specific subagents only when they are likely to improve review quality enough to justify the token cost. Do not run tests or linters unless the user explicitly changes the scope.
Invoking this skill is permission to use review subagents when useful; it is not a requirement to spawn them. A local-only review is valid for small, obvious, low-risk, or already well-tested diffs.
## Scope
Determine review depth from the request:
- Default to lightweight review. - Switch to in-depth review when the user explicitly asks for deeper review.
Determine review range in this order:
1. Check local tracked and untracked changes:
```bash git diff --cached -U10 git diff -U10 git diff --cached --name-only git diff --name-only git ls-files --others --exclude-standard ```
2. If any staged tracked, unstaged tracked, or untracked files exist, review all of them as `local changes`. - Include staged tracked changes from `git diff --cached -U10`. - Include unstaged tracked changes from `git diff -U10`. - Include untracked file contents by reading the files directly or producing a pseudo-diff against `/dev/null`. - Do not exclude untracked files just because they are not staged. 3. If there are no local tracked or untracked changes, review the current branch against the base branch named by the user. 4. If the user did not name a base branch, resolve the current branch's parent with Git Town:
```bash CURRENT_BRANCH=$(git rev-parse --abbrev-ref HEAD) BASE_BRANCH=$(git-town config get-parent "$CURRENT_BRANCH" 2>/dev/null || true) ```
5. If Git Town does not return a parent branch, fall back to `main`, then `origin/main`.
For branch review, compute:
```bash CURRENT_BRANCH=$(git rev-parse --abbrev-ref HEAD) BASE_BRANCH="${USER_BASE_BRANCH:-$(git-town config get-parent "$CURRENT_BRANCH" 2>/dev/null || true)}" if [ -z "$BASE_BRANCH" ]; then BASE_BRANCH=main fi if ! git rev-parse --verify "$BASE_BRANCH" >/dev/null 2>&1 && git rev-parse --verify origin/main >/dev/null 2>&1; then BASE_BRANCH=origin/main fi BASE=$(git merge-base HEAD "$BASE_BRANCH") git diff -U10 "$BASE" git diff --name-only "$BASE" ```
If the named base, Git Town parent, and fallback default branches cannot be resolved, stop and ask for a valid base branch.
## Workflow
1. Check for staged tracked, unstaged tracked, and untracked files. 2. If any local changes exist, build the review packet from the staged diff, unstaged diff, and untracked file contents. Do not include branch commits in this mode. 3. If no local tracked or untracked changes exist, resolve the base branch from the user's request, or use `git-town config get-parent "$(git rev-parse --abbrev-ref HEAD)"` when no base is requested, then build the branch review diff from the merge base. 4. In local changes mode, list untracked files with `git ls-files --others --exclude-standard` and include their contents in the review packet. 5. Build a compact review scope: - review mode: `local changes` or `branch` - base branch and merge base, when in branch mode - inferred intent in one sentence - risk focus in one sentence - changed file list - untracked file list and confirmation that untracked file contents are included when in local changes mode 6. Do a local review pass first. Read surrounding files only where needed to understand behavior, contracts, and tests. 7. Decide whether subagents are worth it. Use zero to three reviewers based on the rubric below. 8. If using subagents, send each a narrow packet with only the files, diff excerpts, contract context, and risk lens it needs. Launch multiple selected reviewers in parallel, collect outputs, and close each subagent once its result is captured. 9. Validate or disprove returned findings against source before reporting. 10. Produce findings with high confidence only.
If subagents are unavailable, continue locally. Mention that only if it materially affects confidence or the user explicitly asked for subagents. For in-depth review, prefer more local source context before adding reviewers by default.
## Sub-Agent Selection
Use 0-3 reviewers total. Do not spawn reviewers merely because a language matches. Pick the smallest reviewer set that addresses real risk:
- `0` reviewers: docs-only changes, tiny diffs, mechanical renames, obvious follow-up fixes, generated updates, or low-risk code where the local pass gives high confidence. - `1` reviewer: normal non-trivial code change with one dominant risk or one language/framework-specific concern. - `2` reviewers: meaningful behavior change with two independent risk areas, such as Rust API shape plus tests, Vue reactivity plus accessibility, or public API contract plus security. - `3` reviewers: large/cross-module diffs, auth/security/data mutation, external APIs, migrations, concurrency, or explicit deep/adversarial review.
Prefer a language-specific reviewer when language/framework details are the dominant risk. Prefer generic risk reviewers when correctness, security, contracts, reliability, or testing are more important than language mechanics.
Use these plugin agents when available from the `rolling-wave-engineering` plugin:
- `correctness-reviewer`: default for behavior-changing code, logic, state, and regression risk. - `testing-reviewer`: default when behavior changes, tests changed, or coverage is uncertain. - `maintainability-reviewer`: default for non-trivial code changes or existing-file complexity. - `typescript-reviewer`: when files include `.ts`, `.tsx`, or TypeScript blocks in Vue SFCs. - `vue-reviewer`: when files include `.vue`, Vue composables, Pinia stores, Vue Router, or Nuxt files. - `rust-reviewer`: when files include `.rs`, `Cargo.toml`, `Cargo.lock`, `build.rs`, Rust FFI/bindgen code, unsafe Rust, async Rust, or concurrency-heavy Rust. - `security-reviewer`: when changes touch auth, permissions, public endpoints, secrets, user input, rendering untrusted content, or URL handling. - `api-contract-reviewer`: when changes touch API routes, request/response types, serializers, exported types, or public interfaces. - `reliability-reviewer`: when changes touch retries, timeouts, async handlers, jobs, cleanup, lifecycle, or error handling. - `adversarial-reviewer`: when the diff is large or touches high-risk areas such as auth, data mutation, external APIs, or cross-cutting state.
Use these document/spec reviewers only when reviewing rolling-wave docs, specs, plans, or slice artifacts rather than code:
- `coherence-reviewer` - `scope-guardian-reviewer` - `feasibility-reviewer` - `spec-flow-analyzer`
Fallback split when plugin agents are unavailable:
- Correctness and regressions - Contracts and data flow - Coverage and operational risk
Each sub-agent should be told to report only high-confidence findings in its assigned lens and to skip style-only comments or speculative refactors. Keep prompts narrow; do not ask every reviewer to review the whole diff.
Require each sub-agent to return a compact structured shape:
```json { "reviewer": "agent-name", "findings": [ { "severity": "P1|P2|P3", "file": "path", "line": 42, "title": "short issue", "why": "why this matters", "confidence": "high|medium", "pre_existing": false } ], "testing_gaps": [], "residual_risks": [] } ```
## Review Focus
Prioritize:
- Behavioral regressions - Incorrect edge-case handling - Broken assumptions across call sites or data flow - Missing validation, authorization, or error handling - State, caching, concurrency, or lifecycle bugs - Schema, API, and backward-compatibility risks - Missing or insufficient tests where the change meaningfully alters behavior
Distribute those priorities through selected specialists instead of asking every agent to cover everything.
Deprioritize:
- Pure style nits - Speculative refactors - Comments about formatting unless they hide a real problem
Do not invent issues to fill space. If no actionable findings are present, say so plainly and mention any residual uncertainty or testing gaps.
## Output
Present findings first, ordered by severity. For each finding, include:
- Severity - File reference and line reference when available - Short explanation of the issue and why it matters
After findings, include:
- Open questions or assumptions, if any - Brief change summary only if useful
Apply these filters before reporting:
- Report only issues you would defend with high confidence. - Medium-confidence findings may be reported only if two reviewers independently flag the same issue or it is a possible P0/P1 class defect. - Skip low-signal nits unless the user asked for exhaustive review. - Prefer a smaller set of sharp findings over a broad, noisy list. - Treat findings as duplicates when they cite the same file, nearby lines within about 3 lines, and the same underlying failure. Merge them, keep the higher severity, and note both reviewers if useful. - Re-check any borderline finding against the source before surfacing it. - Before reporting, verify cited lines, calibrate severity, remove linter/formatter-only issues, and ensure every finding has a concrete failure mode. - Put pre-existing issues in a separate `Pre-existing` section and do not count them against the reviewed change.
State the review mode explicitly: `local changes` or `branch changes against <base>`. If untracked files exist in local changes mode, include them in a `Coverage / Scope` note and state that their contents were reviewed. Include reviewer usage briefly: `Reviewers: 0 local-only`, `Reviewers: 1 <name>`, etc. End with `Verdict: Ready`, `Verdict: Ready with fixes`, or `Verdict: Not ready`.
## Constraints
- Perform code review only. - Do not modify files unless the user changes the task. - Do not run tests or linters. - Do not post to GitHub or any external system.
기술 세부 사항
- 버전
- 1.0.0
- 라이선스
- MIT
- 최근 업데이트
- 2026년 8월 20일
- 게시일
- 2026년 8월 20일
결정 스냅샷
대체 후보
최근 저장소 활동
Agent 검증 증거
Agent 검증 증거
Resolve, 검토, 설치 및 한 번의 제한된 실행 후 결과 보고서입니다.
- 성공률
- —
- 최근 실패
- —
- 결과
- 0
- 출력 품질
- —
- 실패
- 0
- 관련 없음
- 0
- 설치
- 0
- 위험 차단
- 0
- 설정 필요
- 0
- 프로덕션
- 0
아직 Agent 결과 데이터가 없습니다. 첫 실행은 /api/agent/outcome을 통해 성공, 설정 필요, 위험 차단, 실패 또는 비관련 결과를 보고할 수 있습니다.
성장 루프
공유 키트
code-review용 시나리오 기반 초안입니다. X에 수동으로 게시할 수 있습니다.
code-review: Review local git changes before opening a PR or merging. First review all local tracked and u... 13 stars https://www.openagentskill.com/skills/rijkvanzanten-code-review?ref=x
선택 사항: 설치 명령이 포함된 답글
Listing + install path for code-review: https://www.openagentskill.com/skills/rijkvanzanten-code-review?ref=x Install: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
등록 출처
Registry 색인
이 등록은 공개 소스에서 색인되었으며 유지보수자 소유권 주장이 승인될 때까지 공식으로 표시되지 않습니다.
- 색인 주체
- OpenAgentSkill 커뮤니티 인덱스
귀속은 공개 저장소 또는 제작자 프로필에 연결됩니다. 제작자는 등록을 주장하여 소유권 신호를 업데이트할 수 있습니다.
이 스킬 소유권 주장소유자 소유권 주장
이 스킬 등록 소유권 주장
이 Registry 색인 등록은 rijkvanzanten에게 귀속되어 있지만 아직 공식으로 표시되지 않았습니다. 소유권을 주장하면 확인된 소유자 신호가 추가되어 이후 출시, 설치 및 감사 업데이트를 더 신뢰할 수 있습니다.
크리에이터 백링크 키트
README에 증거 배지 추가
개발자가 저장소를 평가하는 위치에 정규 등록, 현재 신뢰 및 감사 신호, 실제 Agent-Proven 증거를 표시합니다.
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review)
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review)
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review/audit)
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review)작성자
rijkvanzanten
@rijkvanzanten
플랫폼 적합도
상태 신호
- GitHub 스타
- 13
- 품질 점수
- 32/100
- 최근 GitHub 푸시
- 2026년 8월 17일
- 프레임워크 힌트
- 알 수 없음
- OpenAgentSkill 조회수
- 5
- 설치 명령 복사
- 0
- 외부 클릭
- 0
커뮤니티 신호
이 스킬이 Agent 워크플로에 유용한지 알려 주세요. 집계된 피드백은 시간이 지날수록 순위를 개선합니다.
신뢰와 안전
Do not auto-install
- GitHub 채택도GitHub 스타 13수정
- 스타/포크 활동스타 13, 포크 0; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다수정
- 최근 유지보수마지막 푸시 후 4일통과
- 라이선스 명확성MIT통과
- README/SKILL.md 완성도메타데이터에 충분한 사용 및 워크플로 맥락이 포함되어 있습니다통과
- 의존성/런타임 위험command execution surface, credential or environment access확인
관련 스킬
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
53.5K 스타Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K 스타GPT Researcher
Run autonomous deep research over web and local sources
28.0K 스타DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
19.8K 스타