autoreview
Structured code review through the shared OpenClaw agent-skills installation.
- License 许可
- MIT
- 所属仓库
- openclaw/clawhub
- 最近更新
- 2026-11-13
- Stars
- ★ 9.6k
- Forks
- 1.5k
01 前言 Front Matter
- name
- autoreview
- description
- Structured code review through the shared OpenClaw agent-skills installation.
03 SKILL.md 正文
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.
For this repository, default to GPT-6.1 Sol with high reasoning and Standard service. Preserve an explicit user-selected engine, model, effort, or service tier. For the default Codex route, run:
python3 "$HOME/.agents/skills/autoreview/scripts/autoreview" \
--engine codex --model gpt-6.1-sol --thinking high --codex-speed default \
--max-priority P3 --mode local
Use --mode branch --base origin/main for the committed branch review.
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.
04 同仓库更多 Skills
convex-advisor
Read the Convex deployment's 72h insights (read limits, OCC contention), root-cause each event in code, report evidence-backed perf/cost findings with fixes.
convex-add
Add a capability to the CURRENT Convex app — consults the served Convex capability catalog for always-current procedures (billing, crons, auth, agent, search, …); falls back to built-in hosting or @convex-dev component search. TRIGGER when the user runs /add, or asks to add hosting/publishing or any backend capability to an existing Convex app.
convex-acquire-domain
Find and buy a domain for the current Convex app through Convex, then bind it (labs; spend action).
controlling-costs
Analyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused columns or field values, identify data waste, or track ingest spend.
clawhub-production-release
Run and verify ClawHub production deploys and stable ClawHub CLI npm releases. Use when deploying backend or frontend changes to clawhub.ai, dispatching the Deploy workflow, publishing a stable CLI tag, checking release prerequisites, or proving the exact production SHA and workflow outcome.
clawhub-pr-maintainer
Use when reviewing, triaging, validating, or discussing ClawHub GitHub issues or pull requests, including author context, CI, UI proof, evidence, labels, close decisions, and maintainer handoff.