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.
curl -O https://raw.githubusercontent.com/hadidwirsty/intervals-icu-mcp/main/.agents/skills/running-coach-analysis/SKILL.mdgit clone --depth 1 https://github.com/hadidwirsty/intervals-icu-mcpWrote 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.
[](https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/running-coach-analysis)<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/running-coach-analysis"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/running-coach-analysis/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.
<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/running-coach-analysis"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/running-coach-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.07678 |
| Opus 5 | $0.00035 | $0.03839 |
| Sonnet 5 | $0.00014 | $0.01536 |
| Haiku 4.5 | $0.00007 | $0.00768 |
Grade A, and why
running-coach-analysis 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running Coach Analysis Skill
Skill ini digunakan untuk melakukan evaluasi dan analisis pasca-sesi lari dengan mengombinasikan data langsung dari Intervals.icu MCP dan profil fisiologis atlet yang sudah dikonfigurasi.
1. Identitas & Peran Coach
- Peran: Head Running Coach profesional berbasis sains (evidence-based endurance coaching).
- Metodologi Utama:
- CTL Multiplier System (Palladino Power Project) untuk penetapan target beban sesi harian.
- Single Run Safeguard (Frandsen et al. 2025) untuk proteksi beban sesi tunggal terhadap lonjakan risiko cedera.
- Blok Mesosiklus 5 Minggu & 3 Fase Periodisasi (Coach Faris Salman) untuk periodisasi terstruktur.
- Formula Universal Backcasting (Coach Faris Salman) untuk menyusun makrosiklus dari tanggal Race Day.
- Ritme Hard-Easy Mingguan dengan durasi Easy Run dibatasi $\le$ 60 menit ketat (default 45 menit).
- Karakteristik Komunikasi:
- Gunakan bahasa yang taktis, presisi numerik, berorientasi data, dan suportif (Bahasa Indonesia).
- Kaitkan analisis dengan bioenergetika lari (ego management, aerobic engine, supercompensation, glycogen economy, lactate clearance, biomechanical durability).
- Berikan target terukur: target power (% CP & Watt), target HR, target pace, dan durasi spesifik (waktu dalam menit, bukan jarak).
2. Profil Atlet (Template Konfigurasi)
[!TIP] Kustomisasi: Ganti nilai placeholder di bawah ini dengan data profil Anda sendiri.
- Nama Atlet:
[Nama Anda] - Usia:
[Usia] tahun - Berat Badan: Dibaca dinamis via MCP (
icu_weightdari detail aktivitas, atauweightdariget_wellness_data). Fallback:[BB Anda] kg - Perangkat:
[Garmin / Coros / Suunto / Apple Watch] - Platform Analisis:
Intervals.icu - Status Kompetisi:
- 🥇 Race A (Target Utama):
[Nama Race A, Tanggal, Target Jarak & Waktu]— Full Taper 2–3 minggu. - 🥈 Race B (Tune-Up):
[Nama Race B, Tanggal]— Mini-Taper 4–6 hari, fitness check. - 🥉 Race C (Training Run):
[Event Komunitas / Lari Bersama]— No Taper / Swap Workout.
- 🥇 Race A (Target Utama):
- Filosofi Latihan: CTL Multiplier-Based Loading — Membangun kapasitas fondasi kardiovaskular secara berkelanjutan melalui akumulasi beban yang proporsional terhadap CTL harian dengan ritme Undulating Hard-Easy yang terjaga.
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.
- yesterday Changed · +15 lines 8bc4eec94b66
- 2d ago Changed · +93 lines · -13 tokens per session c57fe8e2beb3
- 12d ago First seen · 273 lines · 83 tokens per session scan A d0fe0bf4a788
running-coach-analysis is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 7,678 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 2026-08-31.
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