← Back to Skills Marketplace
AI Code Review
by
371166758-qq
· GitHub ↗
· v1.0.0
· MIT-0
149
Downloads
1
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install qf-code-review
Description
Provides detailed, prioritized code review feedback on security, performance, correctness, and maintainability issues for multiple major programming languages.
Usage Guidance
This skill appears coherent and low-risk because it is purely instructional and requests no credentials or installs. Before using it, make sure: (1) you only give the agent access to the repository or PR you intend it to review (avoid exposing other private repos or secrets), (2) automated suggestions are reviewed by a human before applying changes (the skill will propose code fixes), and (3) you audit any outputs that might include sensitive data found in the reviewed code (for example, hardcoded keys discovered by the review) so they aren't accidentally shared. If you plan to let the agent invoke skills autonomously, be aware the skill can be called during agent runs — that is normal, but ensure agent permissions are scoped appropriately.
Capability Analysis
Type: OpenClaw Skill
Name: qf-code-review
Version: 1.0.0
The skill bundle provides a structured framework for an AI agent to perform code reviews, focusing on security, performance, and maintainability. The instructions in SKILL.md are well-aligned with the stated purpose and do not contain any malicious directives, data exfiltration attempts, or suspicious execution patterns.
Capability Assessment
Purpose & Capability
The name/description ('AI Code Review') matches the SKILL.md instructions: the document defines a structured review process (security, performance, correctness, maintainability) across common languages. It does not request unrelated resources (cloud creds, system binaries, etc.).
Instruction Scope
Runtime instructions are limited to reading code, diffs, commit messages/PR descriptions, and producing review output. There are no steps that tell the agent to access arbitrary system files, external endpoints, or environment variables beyond the code under review. The guidance to 'review the diff' and to use linters/type-checkers is appropriate for the stated purpose.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is downloaded or written to disk by the skill itself. That minimizes install-time risk.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The review tasks described do not appear to require extra credentials. Requested access is proportional to a code-review assistant.
Persistence & Privilege
always is false and no persistent/privileged behavior is requested. The skill is user-invocable and may be invoked autonomously by the agent per platform defaults, which is normal for skills and not a red flag on its own.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qf-code-review - After installation, invoke the skill by name or use
/qf-code-review - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Systematic code review framework covering security vulnerabilities, performance bottlenecks, correctness, and maintainability across Python, JS/TS, Go, Rust, Java.
Metadata
Frequently Asked Questions
What is AI Code Review?
Provides detailed, prioritized code review feedback on security, performance, correctness, and maintainability issues for multiple major programming languages. It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.
How do I install AI Code Review?
Run "/install qf-code-review" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Code Review free?
Yes, AI Code Review is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Code Review support?
AI Code Review is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Code Review?
It is built and maintained by 371166758-qq (@371166758-qq); the current version is v1.0.0.
More Skills