# pr-review-loop

> pr-review-loop — cemoso-pr-review-loop. Use this tool when you need to automate the review process of pull requests, streamlining code validation and approval workflows. It solves problems of manual review bottlenecks and inconsistencies, ensuring timely and efficient deployment of code changes. The tool takes in pull request data as input and outputs review results, integrating with Greptile for seamless automation.

Canonical page: https://skillsregistry.net/skills/cemoso-pr-review-loop  
JSON: https://api.skillsregistry.net/v1/skills/cemoso-pr-review-loop

## Description

Autonomous PR review loop with Greptile.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/cemoso-pr-review-loop)

## 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": "cemoso-pr-review-loop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cemoso-pr-review-loop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cemoso-pr-review-loop/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