Agent skill

Autoreview

by openclaw in openclaw/clawhub

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

MITAuto-check passedDevelopment

Install Autoreview

skills CLI
$ npx skills add openclaw/clawhub --skill autoreview -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openclaw/clawhub autoreview --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/autoreview .claude/skills/autoreview && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
autoreview
GitHub stars
9.5k
Token cost
~296 tokens
SKILL.md length
123 words
Files
1
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

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

  • Development work in your project
  • Calls python3; reaches github.com

What it does

Autoreview is an agent skill from openclaw/clawhub. Structured code review through the shared OpenClaw agent-skills installation.

Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with Python. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/autoreview”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit a18bc74. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Autoreview loads about 296 tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~296

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openclaw/clawhub at commit a18bc74, republished under its MIT licence (© openclaw). 123 words, ~296 tokens.

Download SKILL.mdSave it as .claude/skills/autoreview/SKILL.md (or your agent's skills folder).
name
autoreview
description
Structured code review through the shared OpenClaw agent-skills installation.

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.

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/autoreview of openclaw/clawhub.

Open the folder on GitHubat commit a18bc74

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in openclaw/clawhub, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Autoreview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Autoreview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autoreview this skillopenclaw/clawhub9.5k—~296Automated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Merge Dependabot PRsonyx-dot-app/onyx32k1 repos~2.2kAutomated safety check: PassMIT
Kedro Babysitkedro-org/kedro11k—~4kAutomated safety check: PassCustom licence
LangBot Plugin Developmentlangbot-app/LangBot18k—~3.9kAutomated safety check: PassApache-2.0
Senior Architect Toolkitmaslennikov-ig/claude-code-orchestrator-kit2597 repos~1.2kAutomated safety check: NotesCustom licence

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Works with

Categories

Questions about Autoreview

What does Autoreview do?

Structured code review through the shared OpenClaw agent-skills installation. Autoreview is an agent skill from openclaw/clawhub. Structured code review through the shared OpenClaw agent-skills installation.

When should I use Autoreview?

Autoreview fits situations like: development work in your project.

How do I install Autoreview in Claude Code?

Run `npx skills add openclaw/clawhub --skill autoreview -a claude-code`. Or copy the skill folder (.agents/skills/autoreview in openclaw/clawhub) into .claude/skills/autoreview in your project. Claude Code loads it when a task matches its description.

How do I install Autoreview in Codex?

Run `npx skills add openclaw/clawhub --skill autoreview -a codex`. Or copy the skill folder (.agents/skills/autoreview in openclaw/clawhub) into .agents/skills/autoreview in your project. Codex loads it when a task matches its description.

Can I use Autoreview in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/clawhub --skill autoreview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autoreview, .gemini/skills/autoreview, .github/skills/autoreview and .opencode/skills/autoreview in your project.

What does Autoreview need to run?

Going by SKILL.md and its folder, Autoreview needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Autoreview access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Autoreview safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Autoreview use?

Autoreview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Autoreview use?

About 296 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Autoreview?

Skills that share tags, products or a category with Autoreview: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Merge Dependabot PRs (onyx-dot-app/onyx, 32k stars), Kedro Babysit (kedro-org/kedro, 11k stars) and LangBot Plugin Development (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autoreview?

openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,489 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 6, 2026.

Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.