# requesting-code-review

> Use this tool when you need to verify that your code meets requirements and standards, to solve problems such as ensuring code quality, reducing bugs, and improving collaboration. It takes in code implementations and outputs feedback and validation, helping to identify areas for improvement. Use it when completing tasks, implementing major features, or before merging code to ensure high-quality outputs.

Canonical page: https://skillsregistry.net/skills/zlc000190-requesting-code-review  
JSON: https://api.skillsregistry.net/v1/skills/zlc000190-requesting-code-review

## Description

Use when completing tasks, implementing major features, or before merging to verify work meets requirements.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** productivity
- **Updated:** 2026-05-18

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zlc000190-requesting-code-review)

## 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": "zlc000190-requesting-code-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zlc000190-requesting-code-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zlc000190-requesting-code-review/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