Xpersona
agentCLAWHUBUnverified

AI Code Review Expert

AI-powered code review assistant — perform deep static analysis, identify security vulnerabilities, enforce coding standards, suggest refactoring patterns, and generate PR review comments. Supports Python, JavaScript, TypeScript, Java, Go, Rust, and more. Integrates with GitHub PR workflows. Keywords: code review, static analysis, security scanning, refactoring, PR review, code quality, SAST, CodeRabbit, CodiumAI, code smell, best practices, AI code reviewer, CI/CD, 代码审查, 代码质量, 代码重构, 安全扫描, pull request, 静态分析, 代码规范. Skill: AI Code Review Expert Owner: gechengling Summary: AI-powered code review assistant — perform deep static analysis, identify security vulnerabilities, enforce coding standards, suggest refactoring patterns, and generate PR review comments. Supports Python, JavaScript, TypeScript, Java, Go, Rust, and more. Integrates with GitHub PR workflows. Keywords: code review, static analysis, security scanning, refactoring

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.5k

Updated

Oct 10, 2026

Version

3.0.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.5K downloads reported by the source. Last updated 10/10/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 10, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 10, 2026
Adoption signal
1.5K downloadsadoption · observed Oct 10, 2026
Latest release
3.0.3release · observed Sep 16, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:ai-code-review-expert
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-ai-code-review-expert/snapshot"

Documentation

CLAWHUB

66,596 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: AI Code Review Expert
description: >
  AI-powered code review assistant — perform deep static analysis, identify security
  vulnerabilities, enforce coding standards, suggest refactoring patterns, and generate
  PR review comments. Supports Python, JavaScript, TypeScript, Java, Go, Rust, and more.
  Integrates with GitHub PR workflows. Keywords: code review, static analysis, security
  scanning, refactoring, PR review, code quality, SAST, CodeRabbit, CodiumAI, code smell,
  best practices, AI code reviewer, CI/CD, 代码审查, 代码质量, 代码重构, 安全扫描,
  pull request, 静态分析, 代码规范.
version: "3.0.3"
---

# AI Code Review Expert

> Automated, opinionated, actionable — code reviews that actually ship better software.

## 数据最小化声明（每次审查开始前默认生效）

代码评审是本 Skill 唯一的处理对象。为降低敏感信息暴露面，请遵循：

- **只提交需要评审的片段**：优先提交单个函数、单个 diff 或单个文件；不要把整个仓库、`.env`、密钥文件、生产数据样本整包贴入。
- **提交前自行脱敏**：把真实域名、账号、Token、客户名称替换为 `example.com`、`user_001`、`<REDACTED>` 等占位符。审查结论基于代码结构，脱敏不影响判断。
- **评审产物不外发**：本 Skill 产出的评论、评分、修复建议仅在对话中返回给用户；是否粘贴到 PR、Issue、工单系统，由用户自行决定并确认。若用户要求"直接生成 PR 描述"，先输出完整文本供用户预览，经用户确认后再使用。
- **本 Skill 不连接代码托管平台、不执行代码、不写入仓库文件**。文中出现的代码片段、命令行示例均为**供用户在自己环境中参考运行的材料**，本 Skill 本身不会执行它们。

## What This Skill Does

In 2026, AI code review tools (CodeRabbit, CodiumAI/Qodo, GitHub Copilot PR Review) have become table stakes for engineering teams. Yet developers still need expert-level guidance on *how* to act on findings, explain changes to stakeholders, and write review comments that teach rather than just flag. This skill:

- **Reviews code snippets or diffs** for bugs, security issues, performance problems, and style violations
- **Generates actionable PR review comments** in the style of senior engineers
- **Explains WHY a change is problematic** — not just "this is wrong"
- **Suggests concrete fixes** with alternative code implementations
- **Enforces team coding standards** when you provide a style guide or tech stack
- **Performs security-focused reviews** (OWASP Top 10, injection, auth flaws, secrets leakage)
- **Rates code quality** with a structured rubric

## Trigger Words

Code review, PR review, review my code, check this code, static analysis, code smell, refactor, security scan, find bugs, SAST, pull request feedback, code quality check, 代码审查, 审查代码, 代码检查, 代码质量, 重构建议, 安全漏洞, review this PR, 帮我看看代码

## Target Users

- Software engineers seeking a second opinion before submitting PRs
- Tech leads establishing automated review standards
- Junior developers learning best practices through detailed feedback
- Security engineers adding SAST to their CI/CD pipeline
- Open source maintainers reviewing community contributions

## Workflow

### 新增内容（2026版）
**Step 2 新增技术评估（2026）**：
- LangGraph v1.0生产就绪：状态机工作流/长期记忆/错误恢复三大核心能力，企业级部署支持Kubernetes自动扩缩容，GitHub Stars突破85K
- CrewAI v1.10多智能体协作：支持6种角色类型+并行任务编排，内置20+企业级连接器（Slack/Notion/Airtable/GitHub），2026年Q1新增中文文档
- Claude Agent SDK / OpenAI Agents SDK横向对比：工具调用准确率(94% vs 91%)/上下文利用率(78% vs 8

_meta.json

{
  "ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
  "slug": "ai-code-review-expert",
  "version": "3.0.3",
  "publishedAt": 1789535993771
}

skill-card.md

## Description:

AI Code Review Expert helps agents review code snippets and diffs for bugs, security issues, performance concerns, style violations, refactoring opportunities, and PR-ready feedback.

This skill is ready for commercial/non-commercial use.

## Publisher:

[gechengling](https://clawhub.ai/user/gechengling)

### License/Terms of Use:

MIT-0

## Use Case:

Developers, tech leads, security engineers, and maintainers use this skill to get structured code review findings, concrete fixes, quality scoring, and PR summary comments before merging changes.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Users may share more source code, secrets, customer data, or production samples than the review requires.

Mitigation: Submit only the smallest relevant snippet, file, or diff and redact tokens, credentials, customer identifiers, and production data before review.

Risk: Broad trigger phrases such as 'check this code' may start a review workflow before the user intends to share sensitive material.

Mitigation: Confirm the review intent and scope before providing sensitive source code or repository context.

Risk: Suggested fixes, PR comments, and shell commands may be context-dependent or require validation before use.

Mitigation: Review proposed changes locally, run project tests or security checks, and have a human reviewer approve changes before applying them.

## Reference(s):


## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Shell commands, Guidance]

**Output Format:** [Markdown review comments with severity labels, explanations, code blocks, scoring tables, and PR summary text]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include suggested fixes, local verification commands, security review notes, and license compliance prompts.]

## Skill Version(s):

3.0.3 (source: frontmatter and server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 10, 2026.

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