monday-planning

monday-planning is a skill for Claude Code from gtapps/hermitd. It costs 18 tokens per session (764 once invoked), scanned A, original, MIT.

A weekly training-plan generator that uses recent exercise load and a four-week average. It can read running, strength, cycling, and elevation totals, then suggest a five- to seven-day structure.

In plain words
What is it for?
Use it for a Monday review of last week's training and a suggested schedule for the coming week, delivered through the configured channel.
Why use it?
It turns recent activity history into a concrete plan instead of requiring the athlete to total sessions and balance the week manually. If stored data is missing or old, it can retrieve recent activities to calculate the totals.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hermitd-fitness plugin — 7 skills, 1 agent shipped together

Good fit Use it for a Monday review of last week's training and a suggested schedule for the coming week, delivered through the configured channel.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gtapps/hermitd/monday-planning
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add gtapps/hermitd --skill monday-planning
Clone the repo
git clone --depth 1 https://github.com/gtapps/hermitd

Made for: Claude Code.

Or install hermitd-fitness, the plugin that ships this one along with the rest of its 7 skills, 1 agent.

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 monday-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/gtapps/hermitd/monday-planning/github.svg)](https://agentmods.dev/skills/gtapps/hermitd/monday-planning)
Your own site
<a href="https://agentmods.dev/skills/gtapps/hermitd/monday-planning"><img src="https://agentmods.dev/badge/skills/gtapps/hermitd/monday-planning/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 monday-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/gtapps/hermitd/monday-planning"><img src="https://agentmods.dev/badge/skills/gtapps/hermitd/monday-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 764 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 $0.00018 $0.00764
Opus 5.5 $0.00007 $0.00306
Sonnet 5.5 $0.00004 $0.00153
Haiku 4.5 $0.00002 $0.00076

Measured 11d ago against content hash b53745454946, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

monday-planning 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 11d 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.

plugins/hermitd-fitness/skills/monday-planning/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monday Planning

Goal

Read last week's training load from state/strava-weekly-baselines.json (written by weekly-load-review on Sunday). Generate a concrete weekly training plan suggestion and deliver it via the configured channel.

Steps

  1. Read state/strava-weekly-baselines.json. If missing or last entry is not from yesterday (Sunday), call mcp__strava__get-recent-activities with perPage: 20 to compute last week's totals manually.
  2. Read last week's totals: run km, run sessions, elevation, strength sessions, bike sessions.
  3. Read the 4-week rolling average from the baseline file (or compute from available data).
  4. Apply planning logic (see below) to generate a 5–7 day training structure.
  5. Send a message via the configured channel. If no channel is configured, pipe the plan into .hermit/bin/hermitd-run task note .hermit <id> only inside an open record's turn (otherwise skip the note) instead and skip the notification. Compose in the operator's configured voice, covering the load context, daily structure, and key workout. Example shape:
    🗓️ Week plan: [Mon date]
    Based on last week: [X]km running, [load flag]
    
    Suggested structure:
    Mon: [activity]
    Tue: [activity]
    Wed: [activity]
    Thu: [activity]
    Fri: [activity]
    Sat: [activity]
    Sun: [activity]
    
    Key session: [highlight the week's main workout]
    
  6. Write the weekly plan to .hermit/compiled/weekly-plan-<YYYY-MM-DD>.md (today's date) with frontmatter:
    ---
    title: "Weekly Plan: <Mon date>"
    type: weekly-plan
    created: <ISO 8601>
    task: <T-... for the open record in this turn; omit this field otherwise>
    tags: [weekly-plan, training]
    ---
    
    Body: the full 7-day schedule from Step 5, plus the load context and key session highlight.
  7. Pipe one line into .hermit/bin/hermitd-run task note .hermit <id> only inside an open record's turn (otherwise skip the note) and finish this workflow.

Planning Logic

If last week was a load spike (>25% above average):

  • Reduce total km by 15–20%
  • Keep 1 quality session (tempo or intervals), rest easy
  • Include at least 2 rest or active recovery days
  • No long run (cap longest run at 10km)

Read the full file on GitHub · 71 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. 11d ago First seen · 71 lines · 18 tokens per session scan A b53745454946

Subscribe to this mod's changes

monday-planning is a skill published in the GitHub repository gtapps/hermitd (79 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 764 once invoked, about $0.0001 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 2026-10-02.

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