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.
curl -O https://raw.githubusercontent.com/PayRequest/copana/main/.claude/skills/add-fitness/SKILL.mdgit clone --depth 1 https://github.com/PayRequest/copanaWrote 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/payrequest/copana/add-fitness)<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.
<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>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 | $0.00000 | $0.00302 |
| Opus 5 | $0.00000 | $0.00151 |
| Sonnet 5 | $0.00000 | $0.00060 |
| Haiku 4.5 | $0.00000 | $0.00030 |
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.
What it actually says
/add-fitness — Add Fitness Tracking
Add workout tracking and gym accountability to your Copana setup.
Steps
-
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)
-
Create
fitness.mdin the repo root with:- Goals section
- Weekly schedule
- Workout log table (Date | Activity | Duration | Notes)
- Current stats if provided (weight, etc.)
-
Update CLAUDE.md — add to file registry:
| `fitness.md` | Workout plan and log | -
Update
personality.md— add accountability:## Accountability - Gym: [days] — I'll check -
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 -
Commit 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.
- 10d ago First seen · 40 lines · 0 tokens per session scan A 1be9cc4cc54d
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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