# Rust FAF

> Use this tool when you need to create and manage project context files for AI agents, capturing project DNA and ensuring AI-readiness. It solves problems related to project structure detection, context compression, and synchronization, providing inputs such as GitHub repositories and outputs like FAF files and CLAUDE.md syncs. Use Rust FAF in contexts where you need to enhance AI context quality and improve token-limited environment compatibility.

Canonical page: https://skillsregistry.net/skills/wolfe-jam-rust-faf  
JSON: https://api.skillsregistry.net/v1/skills/wolfe-jam-rust-faf

## Description

Creates and manages FAF project context files that capture project DNA for AI agents. Provides tools for auto-detecting project structure, scoring AI-readiness, syncing to CLAUDE.md, compressing context for token-limited environments, and generating FAF files from GitHub repos. Built on rmcp with pure stdio transport in a 4.3 MB stripped binary. Supports iterative enhancement to improve AI context quality.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wolfe-jam-rust-faf)
- **Repository:** <https://github.com/wolfe-jam/rust-faf-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": "wolfe-jam-rust-faf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wolfe-jam-rust-faf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wolfe-jam-rust-faf/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