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intervals-icu-mcp: Skill for Claude Code

.agents/skills/fitness-status/SKILL.md

fitness-status is a skill for Claude Code, Codex from hadidwirsty/intervals-icu-mcp. It costs 71 tokens per session (1,958 once invoked), scanned A, original, MIT.

A training-load status report that reviews fitness, fatigue, form, workload change, and estimated power from Intervals.icu. It can also warn when a planned deload week may be needed; a deload is a short period with reduced training load.

In plain words
What is it for?
Use it to review training trends, workload risk, recovery status, and whether the athlete may need a deload.
Why use it?
It turns several long-term and recent training measures into one view, making rising fatigue or an unsafe workload increase easier to spot.

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 71 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/fitness-status/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 fitness-status

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/fitness-status"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/fitness-status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,958 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 $0.00071 $0.01958
Opus 5 $0.00036 $0.00979
Sonnet 5 $0.00014 $0.00392
Haiku 4.5 $0.00007 $0.00196

Measured 2d ago against content hash ac2fbe6d3e3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fitness-status 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/fitness-status/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: /fitness-status

Skill ini digunakan untuk menghasilkan Laporan Status Beban Latihan (Training Load Report) secara otomatis berdasarkan data fitness chart, wellness terkini, dan Deteksi Otomatis Deload Week Warning berbasis Blok Mesosiklus 5 Minggu Coach Faris Salman.

Format Prompt Penggunaan

/fitness-status

Atau dengan tanggal spesifik:

/fitness-status 2026-08-08

Langkah Eksekusi Sistem

Step 1: Parse Input User

  • Jika ada argumen tanggal → gunakan sebagai endDate.
  • Jika kosong → gunakan hari ini.
  • startDate selalu 90 hari sebelum endDate.

Step 2: Fetch Data dari MCP Intervals.icu

  1. get_fitness_chart:

    • startDate: 90 hari lalu dari tanggal target.
    • endDate: Tanggal target.
    • cols: ctl,atl,tsb,rampRate,eftp
    • Ambil time-series tren CTL/ATL/TSB dan 30-day Max TSS (untuk Single Run Safeguard).

  2. analyze_training_load (Evaluasi ACWR & Fisiologi):

    • ctl: Nilai CTL terkini.
    • atl: Nilai ATL terkini.
    • tsb: Nilai TSB terkini.
    • rampRate: Nilai Ramp Rate terkini.
    • Dapatkan acwr, acwrCategory, tsbZone, rampRateStatus, dan advice.

  3. get_wellness_data (Triangulasi Kondisi Aktual):

    • startDate: 7 hari lalu.
    • endDate: Tanggal target.
    • Ambil restingHR, hrv, sleepScore, weight.

Step 3: Automated Deload Week & Fatigue Flag Detection

Sistem secara otomatis mengevaluasi 4 Sinyal Red Flag Kesiapan Fisik (Coach Faris Salman) dan status kelelahan kumulatif:

  1. 🚨 RHR Pagi Naik > 5 bpm dari baseline pribadi (misal baseline 46 bpm $\rightarrow$ pagi terukur $\ge 51$ bpm).
  2. 🚨 Kualitas Tidur Buruk 2 Malam Berturut-turut (atau Sleep Score drop signifikan).
  3. 🚨 Motivasi Lari Drop Drastis (indikator kelelahan sistem saraf pusat / CNS fatigue, bukan mager biasa).
  4. 🚨 Easy Pace Terasa Berat padahal intensitas/watt dijaga santai di Z1/Z2 (lolos talk test).

Ditambah sinyal beban objektif: 5. TSB Status: Jika tsb < -30 (High Risk Fatigue Accumulation). 6. ACWR Status: Jika acwr > 1.3 (Warning / Danger Zone). 7. Ramp Rate Flag: Jika rampRate > +5 TSS/minggu (di luar sweetspot +1 s.d. +3). 8. Jadwal Siklus Mesosiklus: Jika minggu berjalan adalah W4 (Planned Deload).

Read the full file on GitHub · 148 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 · 148 lines · 71 tokens per session scan A ac2fbe6d3e3f

Subscribe to this mod's changes

fitness-status is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 1,958 once invoked, about $0.0004 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 metricsPlanning
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