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intervals-icu-mcp: Skill for Claude Code

.agents/skills/kalibrasi-atlet/SKILL.md

kalibrasi-atlet is a skill for Claude Code, Codex from hadidwirsty/intervals-icu-mcp. It costs 72 tokens per session (2,376 once invoked), scanned A, original, MIT.

A recurring fitness-calibration workflow for runners. It calculates VDOT, a running-performance score, sets interval targets, maps heart-rate zones, diagnoses aerobic weaknesses, and checks Garmin zone settings.

In plain words
What is it for?
Use it after a time trial, race, or field test to update training numbers, inspect aerobic fitness, and audit Garmin Connect heart-rate zones.
Why use it?
Training targets and heart-rate zones can become outdated after a race or field test. This workflow updates them using recent performance and device data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; 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 changed today A scan 72 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/kalibrasi-atlet/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 kalibrasi-atlet

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/kalibrasi-atlet"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/kalibrasi-atlet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,376 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 $0.00072 $0.02376
Opus 5.5 $0.00029 $0.00950
Sonnet 5.5 $0.00014 $0.00475
Haiku 4.5 $0.00007 $0.00238

Measured today against content hash ab240a32fcfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kalibrasi-atlet 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 today.

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/kalibrasi-atlet/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/kalibrasi-atlet — Pusat Kalibrasi Kebugaran & Diagnosa Aerobik

Skill ini digunakan secara berkala (setiap 4–8 minggu) setelah atlet menyelesaikan tes lapangan, time trial, atau perlombaan resmi. Berfungsi untuk memperbarui angka VDOT, mengalibrasi target pace/power repetisi Copeland, memetakan zona detak jantung absolut John Hadd, mendiagnosis integritas mesin aerobik (Uphill Athlete 10% Rule & Horwill's Rule), serta mengaudit sinkronisasi zona detak jantung resmi di perangkat Garmin via garmin-connect MCP.

1. Alur Kerja Kalibrasi Data (MCP Tools)

Saat perintah /kalibrasi-atlet dijalankan (dengan input hasil tes, misal: /kalibrasi-atlet 5k 24:30 atau membaca data dari profil/lomba):

1. Deteksi Rekor Baru & Hitung VDOT Jack Daniels (Dual-Engine):

  • Panggil MCP tool garmin_get_personal_records dari garmin-connect MCP (manfaatkan paginasi v0.2.0: limit: 50 dan periksa flag truncated untuk memastikan seluruh kategori 1K, 1 Mile, 5K, 10K, Half Marathon, Full Marathon terambil lengkap) guna mengidentifikasi Best Efforts terbaru yang tercatat di jam tangan atlet.
  • Panggil MCP tool calculate_vdot dengan jarak tes (meter) dan durasi (detik) dari Best Effort atau hasil time-trial terkini.
  • Dapatkan skor VDOT terkini (atau ekstrak dari profil/riwayat aktivitas atlet).
  • Panggil calculate_pace_zones untuk menghasilkan rentang kecepatan resmi (Easy, Marathon, Threshold, Interval, Repetition).

2. Hitung Matriks Interval Norwegian Singles Copeland:

  • Panggil calculate_nsa_matrix dengan nilai VDOT terbaru.
  • Hasilkan target pace dan watt untuk durasi repetisi Copeland:
    • Fast (3–4 menit / Card A): $5\text{--}10\text{ detik/km lebih lambat}$ dari Threshold VDOT. Jeda istirahat: 30–60 detik jalan santai.
    • Medium (4–6 menit / Card B): $10\text{--}15\text{ detik/km lebih lambat}$ dari Threshold VDOT. Jeda istirahat: 60–90 detik jalan santai.
    • Long (10–12 menit / Card C): $15\text{--}25\text{ detik/km lebih lambat}$ dari Threshold VDOT. Jeda istirahat: 90–120 detik jalan santai.

Read the full file on GitHub · 108 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. today Changed ab240a32fcfb
  2. 8d ago First seen · 108 lines · 72 tokens per session scan A 68a01496a079

Subscribe to this mod's changes

kalibrasi-atlet is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 2,376 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-26.

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