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/check-workout/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/check-workout)<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/check-workout"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/check-workout/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/check-workout"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/check-workout.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 | $0.00046 | $0.00637 |
| Opus 5 | $0.00023 | $0.00318 |
| Sonnet 5 | $0.00009 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
check-workout 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.
What it actually says
Skill: /check-workout
Skill ini digunakan untuk melihat jadwal planned workout mendatang dari kalender Intervals.icu secara otomatis, berikut target Watt/BPM/Pace yang sudah dikalkulasi berdasarkan profil atlet terkini.
Format Prompt Penggunaan
Cek 7 hari ke depan (default):
/check-workout
Cek rentang tanggal spesifik:
/check-workout 2026-08-08 2026-08-15
Cek satu workout spesifik berdasarkan event ID:
/check-workout id [event_id]
Langkah Eksekusi Sistem
Step 1: Parse Input User
- Jika tidak ada argumen →
startDate= hari ini,endDate= 7 hari ke depan. - Jika ada 2 tanggal → gunakan sebagai
startDatedanendDate. - Jika ada
id [event_id]→ gunakan mode detail satu workout.
Step 2: Fetch Data dari MCP Intervals.icu
Mode Daftar Mingguan:
-
get_workout_library:startDate: Tanggal mulai.endDate: Tanggal akhir.sport:Run(filter hanya lari, sesuaikan dengan sport Anda).resolve:true(hitung target Watt/BPM/Pace berdasarkan profil aktif).
-
get_athlete_profile(Verifikasi profil aktif):- Ambil
ftp,lthr,thresholdPaceterkini untuk konfirmasi konteks kalkulasi.
- Ambil
Mode Detail Satu Workout:
get_workout_by_id:eventId: ID event yang diinput.resolve:true.
Step 3: Generate Workout Schedule Report
### Jadwal Workout Mendatang
**Periode**: [Tanggal Mulai] — [Tanggal Akhir]
**Profil Aktif**: CP [X]W | LTHR [X] bpm | Threshold Pace [X:XX]/km
| Tanggal | Hari | Nama Sesi | Durasi Target | Target Power | Target HR | Keterangan |
|---|---|---|---|---|---|---|
| YYYY-MM-DD | [Hari] | [Nama Sesi] | [X] menit | [X–X] W | < [X] bpm | [Blueprint] |
| ... | | | | | | |
**Catatan Coach**:
- [Apakah jadwal sudah sesuai dengan blueprint program latihan Anda?]
- [Ada workout yang targetnya perlu disesuaikan dengan kondisi terkini?]
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 First seen · 77 lines · 46 tokens per session scan A 98b9c2202098
check-workout is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 637 once invoked, about $0.0002 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…