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autoreview

Structured code review through the shared OpenClaw agent-skills installation.

Informations de source

Dépôt
openclaw/openclaw-windows-node
Dernière activité de la source
15 octobre 2026 à 02:23
Langue détectée de SKILL.md
anglais
Étoiles
2 148
Forks
313

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Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
autoreview
description
Structured code review through the shared OpenClaw agent-skills installation.
# Auto Review Use the canonical [autoreview skill](https://github.com/openclaw/agent-skills/tree/main/skills/autoreview). 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. Prefer the shared `scripts/autoreview` helper with Python from the repository being reviewed, preserving its working directory. If Codex CLI is unavailable, follow the canonical skill's independent Copilot subagent fallback: prefer an accessible Codex model, or use a comparable available model. Model access through Copilot does not require a separate Codex CLI installation. Keep this repository's P0-P3 review scope (`--max-priority P3` for helper runs). For a subagent review, explicitly supply the same severity scope and report the actual host/model and limitations. Do not claim helper isolation or validated machine status for a subagent review, or use fallback to bypass safety or isolation failures. Follow all other canonical and repository review requirements. 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.
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