# review-code

> Use this tool when you need to standardize code review processes and improve code quality. It generates unified code review prompts, covering overall, single-file, and diff review scenarios, and parses review text to output standardized scores. Ideal for teams seeking to enhance code consistency and quality through streamlined review workflows.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-review-code  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-review-code

## Description

生成统一的代码评审提示，覆盖整体、单文件与差异审查场景。解析审查文本中的总分，输出标准化评分。帮助团队规范评审流程、提升代码质量与一致性。

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/xiaobenyang-com/review-code)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659306499>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "xiaobenyang-com-review-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-review-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-review-code/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt