# Pathrule

> Use this tool when you need to manage team knowledge and coding rules for AI agents, providing a centralized repository for path-scoped memories, rules, and skills. It solves problems of knowledge fragmentation and inconsistent coding practices, enabling more efficient and accurate AI coding. With inputs of team memories and rules, and outputs of optimized coding skills, Pathrule is ideal for use in collaborative AI development environments.

Canonical page: https://skillsregistry.net/skills/pathrule-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pathrule-mcp

## Description

Path-scoped team memories, rules and skills for AI coding agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ykyx7ucyx3)
- **Repository:** <https://github.com/pathrule/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": "pathrule-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pathrule-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pathrule-mcp/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