Autoreview
Structured code review through the shared OpenClaw agent-skills installation.
by openclaw · MIT
The skill
Structured code review through the shared OpenClaw agent-skills installation.
Auto Review
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.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: openclaw/autoreview-53539305773.
Details
- Publisher
- openclaw
- Category
- Software Development › Source control & code review
- License
- MIT
- Updated
- 2026-10-18
References
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