Borrowing it
Nothing to install: this file belongs to sandraschi/leanforge-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/sandraschi/leanforge-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/sandraschi/leanforge-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/sandraschi/leanforge-mcp/agents-md)<a href="https://agentmods.dev/instructions/sandraschi/leanforge-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/leanforge-mcp/agents-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/sandraschi/leanforge-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/leanforge-mcp/agents-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 | $0.01349 | $0.01349 |
| Opus 5.5 | $0.00540 | $0.00540 |
| Sonnet 5.5 | $0.00270 | $0.00270 |
| Haiku 4.5 | $0.00135 | $0.00135 |
Grade A, and why
leanforge-mcp AGENTS.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 9d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md -- leanforge-mcp
Agent protocols for Cursor, Windsurf, Claude Code, and any agentic IDE working in this repo.
Stack
- Language: Python 3.12+, FastMCP >= 3.4.4
- Package manager: uv (
uv sync --extra dev --extra web-- bareuv syncprunes dev+web deps from the venv) - Lean: Lean 4 via elan, Mathlib4
- Config: TOML via
tomllib(stdlib, Python 3.11+) - Persistence: SQLite via
aiosqlite - Linting: Ruff (formatter + linter, covers
src/+webapp/backend/) - Tests: pytest + pytest-asyncio
- Webapp: React + Vite + Tailwind + Zustand + FastAPI backend (ports 10867/10868); frontend lint via Biome (
bun run biome:ci), types viatsc --noEmit
Repo layout
leanforge-mcp\
├── src\
│ └── leanforge_mcp\
│ ├── core\
│ │ ├── agent.py # Subagent loop: LLM propose → Lean compile → repeat
│ │ ├── config.py # TOML config loader + dataclasses
│ │ ├── job_manager.py # SQLite job queue, status tracking
│ │ ├── lean_client.py # Lean 4 subprocess wrapper
│ │ └── llm_client.py # Multi-tier LLM client (Ollama / OpenAI-compat / Anthropic)
│ ├── tools\
│ │ ├── submit.py # submit_theorem, submit_lean_file
│ │ ├── status.py # get_proof_status, list_attempts, list_jobs, validate_lean
│ │ ├── control.py # cancel_job, leanforge_shutdown
│ │ ├── verify.py # verify_proof (independent kernels)
│ │ └── mathlib.py # get_mathlib_search
│ ├── lean\
│ │ └── templates\ # .lean file templates for common theorem shapes
│ ├── skills\
│ │ └── lean_expert\ # Lean 4 Expert skill (skill:// + /api/skills)
│ └── server.py # FastMCP server entry point + main()
├── webapp\
│ ├── backend\ # FastAPI: jobs/problems/stream/skills/docs/llm/logs/status
│ └── frontend\src\ # React: Dashboard/Inbox/Tools/Skills/Chat/Settings/Logs/Help
├── tests\ # pytest suite (79 tests)
├── docs\ # ARCHITECTURE, TOOLS, CONFIGURATION, ONBOARDING, ...
├── data\ # SQLite DB lives here (gitignored)
├── logs\ # Log files (gitignored)
├── workspace\ # Temp Lean files per job (gitignored)
├── config.example.toml
├── config.toml # Local config (gitignored)
├── pyproject.toml
├── start.ps1
├── glama.json
├── llms.txt
├── AGENTS.md
├── CLAUDE.md
└── README.md
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.
- 9d ago Changed · +11 lines · +271 tokens per session 84738f437dd8
- 1mo ago First seen · 110 lines · 1,078 tokens per session scan A 4186cb9cc31c
leanforge-mcp AGENTS.md is an instructions file published in the GitHub repository sandraschi/leanforge-mcp (3 stars, last pushed 4d ago), licensed MIT. It adds 1,349 tokens to every session, about $0.0054 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.