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intervals-icu-mcp: Skill for Claude Code

.agents/skills/readiness-check/SKILL.md

readiness-check is a skill for Claude Code, Codex from hadidwirsty/intervals-icu-mcp. It costs 52 tokens per session (837 once invoked), scanned A, original, MIT.

A daily training-readiness checker that combines recent training load, sleep, resting heart rate, and heart-rate variability into a score from 0 to 100 with green, yellow, or red status.

In plain words
What is it for?
Use it to check readiness before training and receive a recommendation based on fatigue, workload, sleep, and resting heart rate.
Why use it?
It brings several recovery signals together before a workout, helping reveal when the planned effort may not match the athlete’s current condition.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is hadidwirsty/intervals-icu-mcp's own configuration. It tells Claude Code and Codex how to work on intervals-icu-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 intervals-icu-mcp configures →

not rated 1repo 2d ago A scan 52 tokens original MIT
View source ↗ hadidwirsty/intervals-icu-mcp
Reuse

Borrowing it

Nothing to install: this file belongs to hadidwirsty/intervals-icu-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/hadidwirsty/intervals-icu-mcp/main/.agents/skills/readiness-check/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hadidwirsty/intervals-icu-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 readiness-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/readiness-check/github.svg)](https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/readiness-check)
Your own site
<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/readiness-check"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/readiness-check/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.

agentmods 80×15 button for readiness-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/readiness-check"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/readiness-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 837 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00837
Opus 5 $0.00026 $0.00418
Sonnet 5 $0.00010 $0.00167
Haiku 4.5 $0.00005 $0.00084

Measured 2d ago against content hash 7bf909394274, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

readiness-check 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 2d 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.

.agents/skills/readiness-check/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: /readiness-check

Skill ini digunakan untuk mengevaluasi skor kesiapan harian atlet sebelum memulai sesi latihan untuk mencegah overtraining dan risiko cedera.

1. Langkah Pengambilan Data via MCP

  1. get_fitness_chart:

    • startDate: 42 hari lalu.
    • endDate: Hari ini (YYYY-MM-DD).
    • cols: ctl,atl,tsb,rampRate
    • Ambil nilai ctl (Fitness), atl (Fatigue), dan tsb (Form) terkini.

  2. analyze_training_load:

    • Input: { ctl, atl, tsb } dari langkah 1.
    • Dapatkan: acwr (Acute:Chronic Workload Ratio), tsbZone, dan evaluasi risiko beban.

  3. get_wellness_data:

    • Parameter: startDate dan endDate pada hari ini.
    • Ambil data harian: sleepScore, restingHR, dan hrv.

  4. calculate_readiness_score:

    • Pass: { tsb, acwr, sleepScore, restingHr }
    • Dapatkan: readinessScore, status, tsbContribution, acwrContribution, wellnessContribution, dan recommendation.

2. Format Respons Laporan Readiness Check

### 🟢 Daily Recovery & Readiness Report

**Unified Readiness Score**: **[readinessScore] / 100** | **Status**: **[status]**

#### 1. Rincian Kontribusi Skor
- **Kesiapan Akut (TSB)**: +[tsbContribution] poin (TSB: [tsb])
- **Rasio Beban (ACWR)**: +[acwrContribution] poin (ACWR: [acwr])
- **Wellness & Tidur**: +[wellnessContribution] poin (Sleep Score: [sleepScore])

#### 2. Rekomendasi Sesi Hari Ini
- **Status**: **[status]**
- **Panduan**: [recommendation]
  * If `GREEN (>=80%)`: Kondisi fisik optimal. Siap eksekusi sesi intensitas tinggi / interval / tempo.
  * If `YELLOW (50-79%)`: Kondisi sedang. Batasi intensitas ke Zona 2 Aerobic / Easy Run.
  * If `RED (<50%)`: Kelelahan / stress tinggi. Disarankan deload, easy walk, atau istirahat total.

#### 3. 🚨 Evaluasi 4 Red Flags Kelelahan (Coach Faris Salman)
Verifikasi apakah ada $\ge 2$ hal dari kriteria berikut muncul:
1. [ ] **RHR Pagi naik > 5 bpm** dari baseline (Aktual: [RHR] bpm vs Baseline: 46 bpm).
2. [ ] **Kualitas tidur buruk 2 malam berturut-turut** (Sleep score rendah).
3. [ ] **Motivasi lari drop drastis** (kelelahan sistem saraf pusat / CNS fatigue).
4. [ ] **Easy pace terasa berat** pada sesi terakhir meski intensitas dijaga.

> ⚠️ **Aturan Emas**: Jika $\ge 2$ sinyal Red Flag aktif, jangan paksakan jadwal Quality! Turunkan sesi hari ini ke **Easy Recovery** atau **Rest Total**, dan pertimbangkan aktivasi **Deload / Maintenance Week**.

Read the full file on GitHub · 62 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. 2d ago First seen · 62 lines · 52 tokens per session scan A 7bf909394274

Subscribe to this mod's changes

readiness-check is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 837 once invoked, about $0.0003 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 2026-09-10.

Analytics and metricsScientific
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