F1 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited F1 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<!-- mcp-name: io.github.drivenrajat/f1 -->
A Model Context Protocol (MCP) server that provides comprehensive Formula 1 data and analytics for Claude Desktop integration.
This server exposes 36+ tools for accessing F1 data:
git clone https://github.com/drivenrajat/f1.git
cd f1python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activatepip install -e .Add this server to your Claude Desktop MCP configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"f1": {
"command": "python",
"args": ["/path/to/f1/f1_server.py"]
}
}
}Or if using uv:
{
"mcpServers": {
"f1": {
"command": "uv",
"args": ["run", "--directory", "/path/to/f1", "python", "f1_server.py"]
}
}
}Once configured, you can ask Claude questions like:
The server automatically caches FastF1 data in a cache directory to improve performance on repeated queries.
MIT License - see LICENSE for details.
Contributions are welcome! Please feel free to submit a Pull Request.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.