Borrowing it
Nothing to install: this file belongs to jd1207/whoop-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/jd1207/whoop-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/jd1207/whoop-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/jd1207/whoop-mcp/claude-md)<a href="https://agentmods.dev/instructions/jd1207/whoop-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jd1207/whoop-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/jd1207/whoop-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/jd1207/whoop-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 | $0.00533 | $0.00533 |
| Opus 5 | $0.00267 | $0.00267 |
| Sonnet 5 | $0.00107 | $0.00107 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
whoop-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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
whoop-mcp
MCP server for Whoop. Wraps whoop-write-api as tools for Claude.
Architecture
Claude Code <--stdio--> whoop-mcp <--https--> Whoop API
|
~/.whoop/tokens.json
Commands
.venv/bin/pytest -x --tb=short # run tests
.venv/bin/whoop-write-mcp login # authenticate with whoop
.venv/bin/whoop-write-mcp status # check auth state
.venv/bin/whoop-write-mcp # run server (stdio)
Directory Layout
src/whoop_write_mcp/— package sourceserver.py— FastMCP app, tool registrationcli.py— CLI entry point (login, status, logout)tools_read.py— read tool handlers (recovery, sleep, strain, body, catalog, journal behaviors)tools_write.py— write tool handlers (activities, workouts, exercises, journal, weight, alarm)auth.py— token persistence and refresh
tests/— pytest suitetest_tools_read.py— read handler teststest_tools_write.py— write handler teststest_auth.py— auth tests
Tools (15 total)
Read tools: get_recovery, get_sleep, get_strain, get_body_measurement, get_sport_types, search_exercises, get_journal_behaviors
Write tools: create_activity, delete_activity, list_activities, log_workout, link_exercises, log_journal, update_weight, set_alarm
Key Patterns
- all whoop imports are lazy (inside functions)
- tools return dicts, server.py json-serializes them
- JSON string params for complex inputs (exercises, journal entries) with error handling
- auth tokens stored at ~/.whoop/tokens.json (0600 perms)
- auto-refresh on expired access token
- transport: stdio only (for Claude Code subprocess)
Dependencies
mcp[cli]— MCP Python SDK with FastMCPwhoop-write-api— reverse-engineered Whoop API clientpydantic— input validation
Testing
- mock whoop client in all tests, never hit real API
- patch at
whoop_write_mcp.auth.get_whoop_client(lazy import source)
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 · 60 lines · 533 tokens per session scan A e284780a8941
whoop-mcp CLAUDE.md is an instructions file published in the GitHub repository jd1207/whoop-mcp (1 stars, last pushed 5mo ago), licensed MIT. It adds 533 tokens to every session, about $0.0027 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.
Other instructions, from other repositories
vibe-coding-prompt-template backend.instructions.md
Instructions for KhazP/vibe-coding-prompt-template: Read AGENTS.md, agentdocs/techstack.md, and agentdocs/codepatterns.md.
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.