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/cek-kesiapan/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/cek-kesiapan)<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/cek-kesiapan"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/cek-kesiapan/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/cek-kesiapan"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/cek-kesiapan.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 | $0.00078 | $0.03138 |
| Opus 5.5 | $0.00031 | $0.01255 |
| Sonnet 5.5 | $0.00016 | $0.00628 |
| Haiku 4.5 | $0.00008 | $0.00314 |
Grade A, and why
cek-kesiapan 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cek-kesiapan — Evaluasi Kesiapan Harian & Dasbor Kebugaran (Dual-Engine)
Skill ini bertindak sebagai pemeriksaan denyut harian (Daily Health & Readiness Pulse) sebelum atlet melangkah ke luar pintu untuk memulai sesi latihan hari ini. Menggabungkan telemetri biometrik asli dari Garmin Connect (Body Battery, Native HRV Status, Sleep Stages, Daily Stress) dan analitik beban latihan jangka panjang dari Intervals.icu (CTL, ATL, TSB, Ramp Rate, ACWR).
1. Alur Kerja Otomasi Data Dual-Engine (MCP Tools)
Saat perintah /cek-kesiapan dijalankan, lakukan pemanggilan data secara terstruktur dari kedua penyedia data:
Langkah A: Ambil Biometrik Pemulihan Asli (Garmin Connect MCP v0.2.0)
- Panggil MCP tool
garmin_get_daily_wellness_snapshotuntuk tanggal hari ini (today) atau tanggal kalender terbaru:- Body Battery™: Level saat bangun/terkini (latest), pengisian semalam (charged), pengurasan (drained), tertinggi (highest), dan terendah (lowest).
- Native HRV Status: Status resmi Garmin (
BALANCED,UNBALANCED,LOW), rerata semalam (nightlyAverage), rerata mingguan (weeklyAverage), serta garis dasar (baseline low–high). - Daily Stress: Rata-rata tingkat stres harian (dailyAverage) dan puncak stres (maxStressLevel).
- Aktivitas Fisik: Total langkah kemarin (steps), kalori aktif, dan Resting HR sensorik hari ini.
- Panggil MCP tool
garmin_get_daily_heart_rate_intradayuntuk tanggal hari ini:- Ambil nilai
restingHeartRatehari ini danlastSevenDaysAvgRestingHeartRate(rata-rata 7 hari yang dihitung langsung oleh Garmin).
- Ambil nilai
- Panggil MCP tool
garmin_get_steps_range(7 hari terakhir):- Deteksi volume langkah non-lari mingguan dan kepatuhan target langkah untuk mengidentifikasi kelelahan muskuloskeletal perifer (heavy legs / non-training fatigue).
- Panggil MCP tool
garmin_get_hydration_range(3 hari terakhir):- Periksa kepatuhan asupan cairan vs target hidrasi harian. Dehidrasi laten ($< 60%$ target hidrasi) merupakan pemicu fisiologis utama lonjakan RHR dan penurunan drastis HRV semalam.
- (Opsional jika butuh konfirmasi stres / tidur mendalam):
- Panggil
garmin_get_sleep_summaries_rangeataugarmin_get_daily_summaries_rangeuntuk verifikasi kualitas restorasi tidur dan tren stres fisiologis multi-hari.
- Panggil
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.
- today Changed · +7 lines 5e49c58aca64
- 6d ago Changed · +6 lines 2e1fc76c0e21
- 8d ago First seen · 128 lines · 78 tokens per session scan A 674713592e42
cek-kesiapan is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 3,138 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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