autoreview Skill
Structured code review when explicitly requested, preferring OpenAI/Codex before Claude. Published by openclaw in agent-skills.
Decision snapshot
Is this a fit?
Security review, Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
19 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is autoreview Skill?
Structured code review when explicitly requested, preferring OpenAI/Codex before Claude. Published by openclaw in agent-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Security review
- Data analysis
- Security review use cases
- Data analysis use cases
Declared skill metadata
- Source file: skills/autoreview/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use autoreview Skill
- Use it for security review.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openclaw
- Repository: openclaw/agent-skills
- Skill file: skills/autoreview/SKILL.md
What it does
Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.
Skill instructions
Auto Review Run an independent review when the user or an owning workflow asks for one. This is code review, not Guardian approval routing. Let the reviewer choose how to analyze the change; provide the target, relevant context, and desired severity. Findings are advice to verify, not instructions to apply blindly. Weigh every finding by likelihood, impact, and fix complexity. Fix what is real and likely, or rare but dangerous (data loss, security, money). Skip rare, recoverable edge cases and theoretical timing races whose fix adds disproportionate complexity, and state the accepted tradeoff instead. Before starting a review, read the complete diagnostic and result guidance. It is part of this skill; follow its output-path, status, failure, usage, and diagnostic rules. Run Use scripts/autoreview beside this skill. Keep its custom codex exec path: native codex review cannot combine explicit Git target flags with custom instructions. The helper combines those with evidence, severity fil
Verified compatibility and discovery
Frequently asked questions
What is autoreview?
autoreview is a open-source AI agent skill with Copy skill directory. Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.
Who is autoreview best for?
autoreview is best for reusing agent instructions, scripts, and references, security review workflows, data analysis workflows.
How do I install autoreview?
Install or run autoreview using Copy skill directory. Check autoreview for the latest setup command.
Is autoreview actively maintained?
autoreview may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
