copana: Skill for Claude Code

.claude/skills/add-fitness/SKILL.md

add-fitness is a skill for Claude Code from PayRequest/copana. It costs 0 tokens per session (302 once invoked), scanned A, original, MIT.

A command that adds workout tracking and gym accountability to a Copana setup. It records goals, a weekly schedule, and workout details in a fitness file, with optional reminders on workout days.

In plain words
What is it for?
Use it to create a workout plan and log, record activities and duration, update Copana’s file registry and personality settings, and optionally add gym-day checks.
Why use it?
It turns an informal fitness plan into a visible record and can provide prompts to help maintain the schedule. The setup is based on the user’s goals, available days, and preferred programme.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is PayRequest/copana's own configuration. It tells Claude Code how to work on copana 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 copana configures →

Reuse

Borrowing it

Nothing to install: this file belongs to PayRequest/copana. 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/PayRequest/copana/main/.claude/skills/add-fitness/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/PayRequest/copana

Made for: Claude Code.

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 add-fitness

README.md
[![agentmods](https://agentmods.dev/badge/skills/payrequest/copana/add-fitness/github.svg)](https://agentmods.dev/skills/payrequest/copana/add-fitness)
Your own site
<a href="https://agentmods.dev/skills/payrequest/copana/add-fitness"><img src="https://agentmods.dev/badge/skills/payrequest/copana/add-fitness/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 add-fitness

Your own site · 80×15
<a href="https://agentmods.dev/skills/payrequest/copana/add-fitness"><img src="https://agentmods.dev/badge/skills/payrequest/copana/add-fitness.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 302 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 $0.00302
Opus 5 $0.00000 $0.00151
Sonnet 5 $0.00000 $0.00060
Haiku 4.5 $0.00000 $0.00030

Measured 10d ago against content hash 1be9cc4cc54d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

add-fitness 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 10d 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.

.claude/skills/add-fitness/SKILL.md · 40 lines

What it actually says

/add-fitness — Add Fitness Tracking

Add workout tracking and gym accountability to your Copana setup.

Steps

  1. Ask the user:

    • What's your fitness goal? (e.g., lose weight, build muscle, run a 5k)
    • How many days per week do you want to work out?
    • Which days? (e.g., Mon/Wed/Fri)
    • Any specific program? (or want a suggestion)
  2. Create fitness.md in the repo root with:

    • Goals section
    • Weekly schedule
    • Workout log table (Date | Activity | Duration | Notes)
    • Current stats if provided (weight, etc.)
  3. Update CLAUDE.md — add to file registry:

    | `fitness.md` | Workout plan and log |
    
  4. Update personality.md — add accountability:

    ## Accountability
    - Gym: [days] — I'll check
    
  5. Optionally update proactive_ping.py — add gym day check:

    def check_gym_day():
        gym_days = [0, 2, 4]  # Mon, Wed, Fri
        if datetime.now().weekday() in gym_days:
            return "Gym day. No excuses."
        return None
    
  6. Commit changes.

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. 10d ago First seen · 40 lines · 0 tokens per session scan A 1be9cc4cc54d

Subscribe to this mod's changes

add-fitness is a skill published in the GitHub repository PayRequest/copana (11 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 302 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 2026-08-31.

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