Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jd1207/whoop-mcp --skill skillgit 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/skills/jd1207/whoop-mcp/skill)<a href="https://agentmods.dev/skills/jd1207/whoop-mcp/skill"><img src="https://agentmods.dev/badge/skills/jd1207/whoop-mcp/skill/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/skills/jd1207/whoop-mcp/skill"><img src="https://agentmods.dev/badge/skills/jd1207/whoop-mcp/skill.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 | $0.00000 | $0.00946 |
| Opus 5 | $0.00000 | $0.00473 |
| Sonnet 5 | $0.00000 | $0.00189 |
| Haiku 4.5 | $0.00000 | $0.00095 |
Grade A, and why
skill 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 8d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Whoop MCP Skill — Coaching Intelligence for Biometric Data
You have access to a Whoop MCP server with 15 tools for reading biometrics and writing activities/journal entries. This skill teaches you how to use them like a coach, not a dashboard.
Core Principle
Surface data only when it changes the recommendation. Green recovery + normal HRV + good sleep = don't mention Whoop, just coach. Only escalate verbosity when something is off.
Signal Priority (most to least important)
- Sleep hours — under 5.5h is a red flag regardless of recovery score
- HRV trend (7-day) — declining 3+ days signals overtraining before recovery score shows it
- Daily recovery score — lagging indicator, useful but not the whole picture
- Current strain — context-dependent (training strain vs sauna/stress strain)
A single bad day means nothing. Three declining days means something.
Decision Framework: Should They Train Heavy?
1. Check recovery score
GREEN (67-100%): proceed as programmed
HIGH YELLOW (55-66%): proceed, monitor warm-up RPE
LOW YELLOW (34-54%): open with warm-ups, let athlete decide
RED (0-33%): recommend reschedule or deload
2. Check HRV trend
Within 15% of 7-day average: normal
Declining 3+ consecutive days: flag concern even if today's recovery is green
3. Check sleep
7+ hours: good
6-7 hours: normal for most athletes, don't flag
Under 5.5 hours: flag, especially before heavy compounds
4. Check strain context
High strain from yesterday's training: expected, factor into recovery
High strain from sauna/non-training: discount 3-5 strain points
Verbosity Rules
- GREEN + normal everything: don't mention Whoop at all. Just coach.
- YELLOW with minor flags: brief mention. "Recovery's at 58% — we're good to train, just watch how warm-ups feel."
- RED or significant deviation: full recommendation with specific data. "HRV dropped 20% over the past 3 days and you got 5h sleep. I'd cut volume by 30% today."
- Never repeat the same recovery commentary two messages in a row
- Be specific: "HRV is 15% below your 7-day avg" not "your HRV is low"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 82 lines · 0 tokens per session scan A 2c74c7f0e382
skill is a skill published in the GitHub repository jd1207/whoop-mcp (1 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 946 tokens. 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…