A coaching guide for using a Whoop MCP server, a connection to Whoop fitness-tracking data. It covers reading biometric measurements and recording activities or journal entries.

Use it to decide whether someone should train heavily, adjust training after poor recovery or sleep, notice multi-day changes and record activities or journal notes.

It turns recovery, sleep, heart-rate variability and training strain data into coaching guidance instead of simply displaying measurements.

skill — Skill for Claude Code and Codex by jd1207/whoop-mcp

Install

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.

Any agent

npx skills add jd1207/whoop-mcp --skill skill

Clone the repo

git clone --depth 1 https://github.com/jd1207/whoop-mcp

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jd1207/whoop-mcp/skill/github.svg)](https://agentmods.dev/skills/jd1207/whoop-mcp/skill)

Your own site

<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.

Your own site · 80×15

<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>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 946 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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 5.5	$0.00000	$0.00378
Sonnet 5.5	$0.00000	$0.00189
Haiku 4.5	$0.00000	$0.00095

Measured 2mo ago against content hash 2c74c7f0e382, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

skill/SKILL.md · 82 lines

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"

Read the full file on GitHub · 82 lines

Files

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.

Changes

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.

2mo ago First seen · 82 lines · 0 tokens per session scan A 2c74c7f0e382

Subscribe to this mod's changes

skill is a skill published in the GitHub repository jd1207/whoop-mcp (1 stars, last pushed 7mo 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.

Analytics and metrics

skill next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
skilljd1207/whoop-mcp	Skill	1	7mo ago	MIT	A	0	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code