Review code using shared OpenClaw instructions and a Python helper, while also following the target repository’s review requirements. This skill points to a common installation that supplies the actual review procedure.
中文简介正在准备中。当前显示英语简介。
Structured code review through the shared OpenClaw agent-skills installation.
安装前可以查看交给 AI 代理的指令内容。
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.
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Create and manage Axiom alert rules and notification destinations through its API. Connect alerts to email, Slack, or webhooks, check monitor history, and adjust thresholds and evaluation schedules to address excessive or missing alerts.
中文简介正在准备中。当前显示英语简介。
Investigate production incidents and bugs using logs, metrics, and code evidence. The skill guides hypothesis testing, root cause analysis, fix validation, and reusable investigation notes, with access to configured observability tools such as Axiom.
中文简介正在准备中。当前显示英语简介。
Design and build Axiom dashboards from logs or metrics, the numerical measurements of system behavior. Create charts, filters, and layouts for monitoring and reporting, or migrate existing Splunk and Grafana panels while validating queries against available data.
中文简介正在准备中。当前显示英语简介。
Drafts, previews, sends, and records emails for existing ClawHub content rights cases. It supports publisher removal notices and requester updates, requires approval of the final draft, and preserves the exact correspondence in the case record.
中文简介正在准备中。当前显示英语简介。
Apply ClawHub-specific rules when developing with Convex, including deployment targeting, runtime checks, data migrations, search performance, and skill statistics. It also directs specialized work to the appropriate companion skills.
中文简介正在准备中。当前显示英语简介。
Support ClawHub staff moderation through its local admin tool, including skill reports, removals and restores, user restrictions, publisher and package management, and staff email, with approval checks and verification after changes.
中文简介正在准备中。当前显示英语简介。