whoop-mcp: Skill for Claude Code

.github/skills/documentation-and-adrs/SKILL.md

documentation-and-adrs is a skill for Claude Code, Codex from shashankswe2020-ux/whoop-mcp. It costs 43 tokens per session (1,926 once invoked), scanned A, original, MIT.

A practice for recording important technical decisions and the reasons behind them. ADRs, or architecture decision records, explain the chosen approach, alternatives, constraints, and trade-offs.

In plain words
What is it for?
Use it for major architecture or dependency choices, database designs, authentication strategies, public API changes, and features that alter user-facing behavior.
Why use it?
It preserves context that code alone cannot show, so future developers and coding agents can understand why the system was built a certain way.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

This is shashankswe2020-ux/whoop-mcp's own configuration. It tells Claude Code and Codex how to work on whoop-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything whoop-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to shashankswe2020-ux/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.

Copy the file
curl -O https://raw.githubusercontent.com/shashankswe2020-ux/whoop-mcp/main/.github/skills/documentation-and-adrs/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/shashankswe2020-ux/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.

agentmods badge for documentation-and-adrs

README.md
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Your own site
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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.

agentmods 80×15 button for documentation-and-adrs

Your own site · 80×15
<a href="https://agentmods.dev/skills/shashankswe2020-ux/whoop-mcp/documentation-and-adrs"><img src="https://agentmods.dev/badge/skills/shashankswe2020-ux/whoop-mcp/documentation-and-adrs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,926 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.01926
Opus 5 $0.00022 $0.00963
Sonnet 5 $0.00009 $0.00385
Haiku 4.5 $0.00004 $0.00193

Measured 12d ago against content hash 7fed35f9c5b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

documentation-and-adrs 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 12d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.github/skills/documentation-and-adrs/SKILL.md · 279 lines

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.

Documentation and ADRs

Overview

Document decisions, not just code. The most valuable documentation captures the why — the context, constraints, and trade-offs that led to a decision. Code shows what was built; documentation explains why it was built this way and what alternatives were considered. This context is essential for future humans and agents working in the codebase.

When to Use

  • Making a significant architectural decision
  • Choosing between competing approaches
  • Adding or changing a public API
  • Shipping a feature that changes user-facing behavior
  • Onboarding new team members (or agents) to the project
  • When you find yourself explaining the same thing repeatedly

When NOT to use: Don't document obvious code. Don't add comments that restate what the code already says. Don't write docs for throwaway prototypes.

Architecture Decision Records (ADRs)

ADRs capture the reasoning behind significant technical decisions. They're the highest-value documentation you can write.

When to Write an ADR

  • Choosing a framework, library, or major dependency
  • Designing a data model or database schema
  • Selecting an authentication strategy
  • Deciding on an API architecture (REST vs. GraphQL vs. tRPC)
  • Choosing between build tools, hosting platforms, or infrastructure
  • Any decision that would be expensive to reverse

ADR Template

Store ADRs in docs/decisions/ with sequential numbering:

# ADR-001: Use PostgreSQL for primary database

## Status
Accepted | Superseded by ADR-XXX | Deprecated

## Date
2025-01-15

## Context
We need a primary database for the task management application. Key requirements:
- Relational data model (users, tasks, teams with relationships)
- ACID transactions for task state changes
- Support for full-text search on task content
- Managed hosting available (for small team, limited ops capacity)

## Decision
Use PostgreSQL with Prisma ORM.

## Alternatives Considered

### MongoDB
- Pros: Flexible schema, easy to start with
- Cons: Our data is inherently relational; would need to manage relationships manually
- Rejected: Relational data in a document store leads to complex joins or data duplication

### SQLite
- Pros: Zero configuration, embedded, fast for reads
- Cons: Limited concurrent write support, no managed hosting for production
- Rejected: Not suitable for multi-user web application in production

### MySQL
- Pros: Mature, widely supported
- Cons: PostgreSQL has better JSON support, full-text search, and ecosystem tooling
- Rejected: PostgreSQL is the better fit for our feature requirements

## Consequences
- Prisma provides type-safe database access and migration management
- We can use PostgreSQL's full-text search instead of adding Elasticsearch
- Team needs PostgreSQL knowledge (standard skill, low risk)
- Hosting on managed service (Supabase, Neon, or RDS)

Read the full file on GitHub · 279 lines

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.

  1. 12d ago First seen · 279 lines · 43 tokens per session scan A 7fed35f9c5b9

Subscribe to this mod's changes

documentation-and-adrs is a skill published in the GitHub repository shashankswe2020-ux/whoop-mcp (153 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 1,926 once invoked, about $0.0002 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 2026-08-30.

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