# GitHub PR Context

> Use this tool when you need to evaluate new GitHub pull requests with context from past reviews, as it indexes PR history into a vector database for informed decision-making. It solves the problem of knowledge gaps in code review by providing relevant historical context, and accepts GitHub PR data as input, outputting contextual information for review. Ideal for use in local development workflows, especially when working with large or complex codebases.

Canonical page: https://skillsregistry.net/skills/paarths-collab-github-pr-context  
JSON: https://api.skillsregistry.net/v1/skills/paarths-collab-github-pr-context

## Description

Indexes GitHub pull request history into a vector database to provide context from past reviews when evaluating new PRs. Supports multiple LLM backends including Cerebras, Groq, Gemini, Anthropic, and Ollama. Uses stdio transport for local development workflows.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/paarths-collab-github-pr-context)
- **Repository:** <https://github.com/paarths-collab/github-pr-context-mcp>

## 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": "paarths-collab-github-pr-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paarths-collab-github-pr-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paarths-collab-github-pr-context/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