agentmods.dev

intervals-icu-mcp: Skill for Claude Code

.agents/skills/weekly-budget/SKILL.md

weekly-budget is a skill for Claude Code, Codex from hadidwirsty/intervals-icu-mcp. It costs 0 tokens per session (2,488 once invoked), scanned A, original, MIT.

A weekly training-budget calculator that sets a total workload or distance target and divides it among session types. TSS is a training-load score used to compare how demanding workouts are.

In plain words
What is it for?
Use it to calculate a weekly budget based on workload or kilometres, with an optional target rate of increase.
Why use it?
It replaces guesswork when deciding how much to train in a week and how to distribute that amount across sessions.

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 0 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/weekly-budget/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 weekly-budget

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/hadidwirsty/intervals-icu-mcp/weekly-budget"><img src="https://agentmods.dev/badge/skills/hadidwirsty/intervals-icu-mcp/weekly-budget.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,488 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 $0.00000 $0.02488
Opus 5 $0.00000 $0.01244
Sonnet 5 $0.00000 $0.00498
Haiku 4.5 $0.00000 $0.00249

Measured 2d ago against content hash 38d8d4c75495, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

weekly-budget 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/weekly-budget/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: /weekly-budget

Skill ini digunakan untuk menghitung Budget & Proporsi Latihan Mingguan (Weekly Training Budget Report) secara otomatis berdasarkan data CTL (42-day average daily load) dari Intervals.icu via MCP tool calculate_weekly_budget, dengan distribusi beban per sesi berbasis CTL Multiplier System dari Palladino Power Project.

Format Prompt Penggunaan

Budget mingguan berbasis Load (TSS - Default):

/weekly-budget

Budget mingguan berbasis Jarak (Kilometer / Km):

/weekly-budget distance

Budget mingguan dengan target ramp rate kustom dalam TSS/minggu (misal: 1 maintenance, 2 normal build, 3 aggressive build):

/weekly-budget 3

⚠️ Input angka = TSS/minggu (bukan persen). Contoh: 3 berarti target kenaikan CTL +3 TSS/minggu.

Langkah Eksekusi Sistem

Step 1: Parse Input User

  • Ekstrak mode: load (default, TSS) atau distance (km).
  • Ekstrak targetRampPct: Persentase kenaikan mingguan.
    • Default: 2 (setara kenaikan CTL ~+2 TSS/minggu, dalam sweetspot Palladino +1 s.d. +3).
    • Jika user menentukan angka → gunakan nilai tersebut.
    • Ingatkan user jika input > 5 bahwa ini High Risk per standar Palladino.

Step 2: Fetch & Calculate Data dari MCP Intervals.icu

  1. get_fitness_chart:

    • startDate: 90 hari lalu (untuk hitung 30-Day Max TSS & 42d avg).
    • endDate: Hari ini.
    • cols: ctl,atl,tsb,rampRate
    • Ambil:
      • CTL terkini (= 42d average daily load, referensi semua kalkulasi multiplier).
      • 30-Day Max TSS dari data historis (referensi Single Run Safeguard).
      • Ramp Rate terkini untuk evaluasi apakah sudah di sweetspot.

  2. calculate_weekly_budget:

    • avgDailyLoad: Nilai CTL dari langkah 1.
    • mode: load atau distance.
    • targetRampPct: Nilai dari Step 1 (default: 2).
    • Dapatkan totalWeeklyBudget (atau totalWeeklyBudgetKm) sebagai referensi total akumulasi beban.

Read the full file on GitHub · 170 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 · 170 lines · 0 tokens per session scan A 38d8d4c75495

Subscribe to this mod's changes

weekly-budget is a skill published in the GitHub repository hadidwirsty/intervals-icu-mcp (1 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,488 tokens. 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
Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

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…

vercel/next.js · 83 tokens