Structured code review through the shared OpenClaw agent-skills installation.
中文简介正在准备中。当前显示原文说明。
查看安装方法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.
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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Use Crabbox from macOS, Linux, or native Windows controllers to run OpenClaw Windows node builds, tests, and targeted proof on remote native Windows or WSL2 hosts, including Azure or brokered AWS leases and static SSH hosts. Use when remote Windows validation is needed or the user asks for Crabbox validation. Always report the actual provider, lease id, run URL, command, and result.
中文简介正在准备中。当前显示原文说明。
Run complete OpenClaw Windows Node issue and PR triage, including landing queues, proof pools, ownership audits, and release planning.
中文简介正在准备中。当前显示原文说明。
Adversarial dual-model code review that runs two AI models in parallel, cross-references findings, and produces a consensus severity table with fix confidence ratings. Use when asked for a thorough code review, adversarial review, dual-model review, confidence-rated review, or 'Hanselman review'.
中文简介正在准备中。当前显示原文说明。
Build the native MSIX isolated-session Gateway from npm latest, a published packaging release with -GatewayChannel Packaged, or explicit openclaw sources. Register it beside the Store Gateway and run Companion with OPENCLAW_NATIVE_GATEWAY_DEV_PATCH. Use for native Gateway development, release-channel compatibility, unreleased source changes, or removing a development Gateway.
中文简介正在准备中。当前显示原文说明。
Plan and collect OpenClaw Windows validation/proof: tests, rubber-duck review, UI evidence, MCP output, and gateway runtime proof.
中文简介正在准备中。当前显示原文说明。
Write, review, or restructure Windows node documentation and agent instructions using current source, task-focused explanations, and explicit fact preservation.
中文简介正在准备中。当前显示原文说明。