Structured code review through the shared OpenClaw agent-skills installation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use the canonical autoreview skill.
Read the complete installed ~/.agents/skills/autoreview/SKILL.md and the references
it requires before reviewing. If installed at another operator-selected location,
use that installation. This repository entrypoint contains no review implementation.
If the skill is missing, reuse or clone https://github.com/openclaw/agent-skills
and run python3 scripts/install-skills autoreview from that checkout. On Windows,
use python; --mode copy is available when symlinks are unavailable.
Run the shared scripts/autoreview helper with Python from the repository being
reviewed, preserving its working directory. Follow this repository's review
requirements in addition to the canonical skill.
Keep shared fixes and instructions upstream in openclaw/agent-skills. Update
the shared checkout once for all symlinked consumers; reinstall copy-mode skills
after updating their source. Do not add repository-local helpers or test copies.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when running or explaining the ClawScan CLI, including one-off agent-skill scans, benchmark runs, scanner fixtures, judge harness commands, env var validation, and interpreting clawscan-run-v1 and clawscan-benchmark-v1 artifacts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a researcher, maintainer, or contributor found or suspects a malicious skill on ClawHub and needs a private reporting workflow: opening a GitHub private vulnerability report, preparing a proposal-only PR, creating `proposals/<GHSA-ID>/clawscan.yml`, running ClawScan against the malicious skill, and explaining what evidence belongs in private versus public channels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when an OpenClaw maintainer or owner is reviewing a ClawHub malicious-skill profile proposal PR: checking `proposals/<GHSA-ID>/clawscan.yml`, reading the private vulnerability context without leaking it, running the SkillTrustBench Profile Gate or equivalent local benchmark, updating the accepted baseline, and promoting an accepted candidate into `internal/profiles/clawhub/clawscan.yml`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.