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FreePublished on GitHubEnglish overview

autoreview

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.

OriginalShow the original description

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

openclaw/openclaw
AI rating80/ 100See how to install

Good for

  • Reviewing code with shared OpenClaw instructions
  • Applying repository-specific review requirements
  • Keeping shared review instructions up to date

Overview

What it does

autoreview guides code reviews using shared OpenClaw instructions. It reads the installed autoreview skill and the materials referenced by that procedure, then applies the target repository’s own review requirements as well. The shared scripts/autoreview helper supports the review work.

When it helps

Use it when you want the same review procedure across multiple repositories. It also helps when you want to keep changes to review instructions and helper scripts in their shared source, so those changes can reach linked installations together.

Example requests

  • “Review this code using the shared autoreview procedure and this repository’s requirements.”
  • “Read the installed review instructions and their reference materials before starting the review.”

Notes

This entry contains no review implementation of its own. It requires the shared skill installation and Python. If the shared skill is missing, obtain its source and install it with python3 scripts/install-skills autoreview. On Windows, use python instead. A copy-based installation is available when symbolic links cannot be used, but it must be reinstalled after the shared source is updated.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt explicitly directs code reviews to the shared autoreview skill while also applying the target repository’s requirements.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
BPartly lackingInstallation commands and the helper are specified, but the actual review procedure and output format are delegated to separate materials.
SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt instructs running scripts/autoreview without describing the helper’s operational scope or confirmation steps.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodIt provides source retrieval and Python installation instructions, including Windows and copy-mode options.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.

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Files included (1)

  • SKILL.md1.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.

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