# repo-history

> repo-history — hr23232323-repo-history. Use this tool when you need to uncover a repository's historical context and engineering decisions to inform AI-driven coding tasks. It solves problems of knowledge gaps and repeated mistakes by exposing a repo's memory, including past decisions, potential landmines, and established guardrails. The tool provides inputs via MCP tools and outputs actionable insights for AI agents, ideal for use cases requiring informed coding decisions and collaborative development.

Canonical page: https://skillsregistry.net/skills/hr23232323-repo-history  
JSON: https://api.skillsregistry.net/v1/skills/hr23232323-repo-history

## Description

Exposes a repo's historical engineering memory (decisions, landmines, guardrails) via MCP tools for AI coding agents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ixv1gt7765)
- **Repository:** <https://github.com/hr23232323/repo-history>

## 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": "hr23232323-repo-history"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hr23232323-repo-history` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hr23232323-repo-history/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