# review-assist

> review-assist — uditk2-review-assist. Use this tool when you need to streamline code review processes on GitHub, as it captures coding sessions into Intent Documents for guided and verifiable pull-request reviews. This tool solves problems of inefficient and untransparent code reviews, providing a clear and structured output for easier verification. It takes coding session data as input and produces an Intent Document as output, ideal for use in collaborative development environments.

Canonical page: https://skillsregistry.net/skills/uditk2-review-assist  
JSON: https://api.skillsregistry.net/v1/skills/uditk2-review-assist

## Description

Captures a coding agent's session into an Intent Document, enabling guided and verifiable pull-request reviews on GitHub.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d7hqg7jyhu)
- **Repository:** <https://github.com/uditk2/review-assist>

## 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": "uditk2-review-assist"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/uditk2-review-assist` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/uditk2-review-assist/pull`

---
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