Borrowing it
Nothing to install: this file belongs to cheesejaguar/aerospace-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cheesejaguar/aerospace-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/cheesejaguar/aerospace-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/cheesejaguar/aerospace-mcp/claude-md)<a href="https://agentmods.dev/instructions/cheesejaguar/aerospace-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/cheesejaguar/aerospace-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/cheesejaguar/aerospace-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/cheesejaguar/aerospace-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02551 | $0.02551 |
| Opus 5.5 | $0.01020 | $0.01020 |
| Sonnet 5.5 | $0.00510 | $0.00510 |
| Haiku 4.5 | $0.00255 | $0.00255 |
Grade A, and why
aerospace-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Commands
Development Setup
Building from source needs a Rust toolchain (rustup): the trajectory/orbit core is a PyO3 extension (rust/, built by maturin, imported as aerospace_mcp._native). uv sync rebuilds it when Rust sources change. End users never need Rust: releases publish prebuilt abi3 wheels (see Distribution below).
# Install with UV (recommended)
uv venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
uv sync
# Alternative: Install with pip
pip install -e .[dev]
Running the Application
# Run FastAPI HTTP server
aerospace-mcp-http
# Or with custom config
UVICORN_HOST=localhost UVICORN_PORT=8080 aerospace-mcp-http
# Run MCP server (stdio mode for production)
aerospace-mcp
# Run MCP server in SSE mode for debugging (defaults localhost:8001)
aerospace-mcp sse [host] [port]
# Invoke any tool directly from the terminal
aerospace-mcp-cli run convert_units --value 100 --from_unit kts --to_unit mps
Development & Testing
# Run all tests
pytest
# Run tests with coverage
pytest --cov=app --cov=aerospace_mcp --cov-report=html
# Run specific test file
pytest tests/test_plan.py
# Run single test
pytest tests/test_plan.py::test_flight_planning_sjc_nrt -v
# Code formatting and linting
black .
ruff check .
ruff check --fix .
# Type checking
mypy app/ aerospace_mcp/
# Pre-commit hooks (runs all checks)
pre-commit run --all-files
# Native core (from rust/): format, lint, unit tests without Python
cargo fmt --check
cargo clippy --no-default-features --all-targets -- -D warnings
cargo test --no-default-features
Docker Operations
# Build and run with Docker
docker build -t aerospace-mcp .
docker run -p 8080:8080 aerospace-mcp
# Run with Docker Compose
docker-compose up
docker-compose up --build # Rebuild image
Architecture
This is a dual-mode aerospace flight planning system that provides identical functionality through both HTTP API (FastAPI) and Model Context Protocol (MCP) interfaces.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago Changed · +23 lines · +1,023 tokens per session 17335965a1b5
- 2mo ago First seen · 155 lines · 1,528 tokens per session scan A c242b1c09e40
aerospace-mcp CLAUDE.md is an instructions file published in the GitHub repository cheesejaguar/aerospace-mcp (4 stars, last pushed 4d ago), licensed MIT. It adds 2,551 tokens to every session, about $0.0102 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
aerospace-mcp CLAUDE.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
| aerospace-mcp CLAUDE.mdcheesejaguar/aerospace-mcp | Instructions file | 4 | 4d ago | MIT | A | 2,551 | Claude Code |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |