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 agentmods add skills/jayrha/agentskills/workout-plannernpx skills add JayRHa/AgentSkills --skill workout-plannergit clone --depth 1 https://github.com/JayRHa/AgentSkillsWrote 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/jayrha/agentskills/workout-planner)<a href="https://agentmods.dev/skills/jayrha/agentskills/workout-planner"><img src="https://agentmods.dev/badge/skills/jayrha/agentskills/workout-planner.svg" alt="Measured on agentmods" 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 | $0.00116 | $0.01260 |
| Opus 5 | $0.00058 | $0.00630 |
| Sonnet 5 | $0.00023 | $0.00252 |
| Haiku 4.5 | $0.00012 | $0.00126 |
Grade A, and why
workout-planner 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workout Planner
Overview
This skill designs a structured, progressive training program tailored to the user's goal (strength, muscle, fat loss, endurance, general health), experience, equipment, days per week, and any limitations. It applies real training principles — progressive overload, appropriate volume, recovery, and periodization — rather than a random list of exercises.
Keywords: workout plan, training program, gym routine, strength training, hypertrophy, fat loss, push pull legs, upper lower, full body, home workout, bodyweight, progressive overload, sets and reps, deload.
When to use vs. not
Use this to design or adjust a training program. Not medical advice. Always include a disclaimer: the user should clear new exercise with a doctor if they have injuries, cardiovascular conditions, are pregnant, or are returning from a long layoff. Defer to a physical therapist for rehab. Don't prescribe extreme calorie restriction or push through sharp pain.
Inputs to gather first
- Primary goal (strength / muscle / fat loss / endurance / general fitness) — one main goal beats three.
- Experience level (beginner / intermediate / advanced) and any training history.
- Days per week available and time per session.
- Equipment (full gym / dumbbells only / bands / bodyweight / cardio machines).
- Constraints: injuries, limitations, age, and recovery capacity.
- Preferences (likes/dislikes, sports) to drive adherence.
Workflow
- Confirm goal + reality. Restate the goal and set honest expectations on timeline (e.g., meaningful strength in 8–12 weeks; body recomposition is slow). One primary goal drives the design.
- Pick the split by days available and level. Beginners: full-body 3×/week. 4 days: upper/lower. 5–6 days: push/pull/legs. See
references/splits.md. - Select exercises. Prioritize compound movements (squat, hinge, push, pull, carry) for the bulk of volume, accessories for weak points and balance. Match to available equipment with substitutions. See
references/exercise-library.md. - Set volume, sets, reps, and rest by goal: strength (heavy, low reps, long rest), hypertrophy (moderate load/reps, moderate rest), endurance/fat-loss (higher reps, shorter rest, optional circuits). See
references/sets-reps-rest.md. - Define progression. Give an explicit overload rule (add reps then load, double-progression, or % increases) so the plan advances week to week — this is what makes it work.
- Build the weekly schedule with training days, rest days, and optional cardio/mobility. Balance push/pull and avoid training the same sore muscle two days running.
- Add warm-up, deload, and recovery guidance. A 5–10 min warm-up template, a deload every 4–8 weeks, sleep/protein basics, and how to autoregulate on bad days.
- Make it trackable. Provide a simple log format (exercise, sets×reps, load, RPE) and a check-in cadence to adjust the plan.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 69 lines · 116 tokens per session scan A 534f215aa214
workout-planner is a skill published in the GitHub repository JayRHa/AgentSkills (4 stars, last pushed 1mo ago), licensed MIT. It adds 116 tokens to every session and 1,260 once invoked, about $0.0006 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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