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.
npx skills add cosmicstack-labs/mercury-agent-skills --skill fitness-planninggit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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/cosmicstack-labs/mercury-agent-skills/fitness-planning)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/fitness-planning"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/fitness-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.
<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/fitness-planning"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/fitness-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00458 |
| Opus 5 | $0.00010 | $0.00229 |
| Sonnet 5 | $0.00004 | $0.00092 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
fitness-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 7d 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
Fitness Planning
Design effective workout programs for any goal.
Program Design Principles
Progressive Overload
To grow stronger or bigger, you must consistently increase demand:
- Strength: Increase weight (2-5% per week)
- Hypertrophy: Increase volume (sets × reps)
- Endurance: Decrease rest or increase duration
Periodization
| Phase | Duration | Focus | Intensity | Volume |
|---|---|---|---|---|
| Base | 4-6 weeks | Endurance, form | 50-65% | High |
| Build | 4-6 weeks | Hypertrophy | 65-80% | Moderate |
| Peak | 3-4 weeks | Strength | 80-90% | Low |
| Deload | 1 week | Recovery | 40-50% | Very low |
Training Splits
| Split | Days | Best For |
|---|---|---|
| Full Body | 3x/week | Beginners, time-efficient |
| Upper/Lower | 4x/week | Intermediate general fitness |
| Push/Pull/Legs | 6x/week | Advanced hypertrophy |
| Bro Split | 5x/week | Bodybuilding focus |
Key Compound Lifts
- Squat (or leg press) — lower body strength
- Deadlift (or RDL) — posterior chain
- Bench Press (or push-up) — upper body push
- Overhead Press (or dumbbell press) — shoulder strength
- Row (or pull-up) — upper body pull
Tracking
Log: exercise, sets, reps, weight, RPE (1-10 effort) Review weekly: did you progress? If not, why? Reassess program every 6-8 weeks
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.
- 7d ago First seen · 52 lines · 21 tokens per session scan A e61353b66544
fitness-planning is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (470 stars, last pushed 17d ago), licensed MIT. It adds 21 tokens to every session and 458 once invoked, about $0.0001 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 2026-09-03.
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