Borrowing it
Nothing to install: this file belongs to GregBaugues/tokenbowl-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/GregBaugues/tokenbowl-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/GregBaugues/tokenbowl-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/gregbaugues/tokenbowl-mcp/claude-md)<a href="https://agentmods.dev/instructions/gregbaugues/tokenbowl-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/gregbaugues/tokenbowl-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/gregbaugues/tokenbowl-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/gregbaugues/tokenbowl-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 | $0.02532 | $0.02532 |
| Opus 5 | $0.01266 | $0.01266 |
| Sonnet 5 | $0.00506 | $0.00506 |
| Haiku 4.5 | $0.00253 | $0.00253 |
Grade A, and why
tokenbowl-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 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 — 279 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.
Project Overview
This is the Token Bowl MCP server - a Model Context Protocol server for fantasy football leagues using the Sleeper Fantasy Sports API. Built with FastMCP, it defaults to the Token Bowl league (ID: 1266471057523490816) but can be configured for any league via the SLEEPER_LEAGUE_ID environment variable. Provides 27 tools to interact with fantasy football data.
Context: This is part of the larger tokenbowl system - an LLM-powered fantasy football league management system.
Architecture
The codebase follows a modular architecture with clear separation of concerns:
- MCP Tool Layer (
sleeper_mcp.py) - Tool definitions and interfaces (~2,400 lines) - Business Logic Layer (
lib/) - Reusable modules for core functionalityvalidation.py- Parameter validation utilitiesdecorators.py- MCP tool decorator (logging, error handling)enrichment.py- Player data enrichment functionsleague_tools.py- League operation business logic
- Cache Layer (
cache_client.py,build_cache.py) - Redis-backed player data caching - Test Layer (
tests/) - 166 comprehensive tests
This modular design enables:
- Independent testing of business logic
- Code reuse across tools
- Clear separation between MCP framework and business logic
- Easy maintenance and refactoring
Directory Structure
sleeper-mcp/
├── sleeper_mcp.py # MCP tool definitions (~2,400 lines)
├── lib/ # Reusable business logic modules
│ ├── __init__.py # Module exports
│ ├── validation.py # Parameter validation (190 lines)
│ ├── decorators.py # MCP tool decorator (137 lines)
│ ├── enrichment.py # Player enrichment (401 lines)
│ └── league_tools.py # League operations (373 lines)
├── cache_client.py # Cache interface
├── build_cache.py # Cache building functions
├── scripts/ # Utility scripts
│ ├── manual_cache_refresh.py
│ ├── parse_trade_proposal.py
│ └── extract_trade_proposal.py
├── data/ # Data files and analyses
├── picks/ # Weekly picks (week1, week2, etc.)
├── slopups/ # Weekly summaries
├── scratchpads/ # Development notes and issues
├── tests/ # Test suite (166 tests, 9 files)
└── .github/workflows/ # CI/CD configuration
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 First seen · 279 lines · 2,532 tokens per session scan A 6594e834dcf8
tokenbowl-mcp CLAUDE.md is an instructions file published in the GitHub repository GregBaugues/tokenbowl-mcp (6 stars, last pushed 8mo ago), licensed MIT. It adds 2,532 tokens to every session, about $0.0127 per session on Opus 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.
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