fitness-wellness-design

fitness-wellness-design is a skill for Claude Code from Dragoon0x/everything-design-taste. It costs 23 tokens per session (236 once invoked), scanned A, original, MIT.

A design guide for fitness and wellness apps that record exercise and display progress and health data.

In plain words
What is it for?
Use it for exercise selection, workout timers, progress charts, workout calendars, goals, and privacy-conscious data displays.
Why use it?
It helps make workout screens easy to use while treating sensitive body and health information with care.

Skill for Claude Code

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

Part of the edt plugin — 117 skills, 80 agents shipped together

Good fit Use it for exercise selection, workout timers, progress charts, workout calendars, goals, and privacy-conscious data displays.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dragoon0x/everything-design-taste/fitness-wellness-design
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 Dragoon0x/everything-design-taste --skill fitness-wellness-design
Clone the repo
git clone --depth 1 https://github.com/Dragoon0x/everything-design-taste

Made for: Claude Code.

Or install edt, the plugin that ships this one along with the rest of its 117 skills, 80 agents.

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 fitness-wellness-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/fitness-wellness-design/github.svg)](https://agentmods.dev/skills/dragoon0x/everything-design-taste/fitness-wellness-design)
Your own site
<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/fitness-wellness-design"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/fitness-wellness-design/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 fitness-wellness-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/fitness-wellness-design"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/fitness-wellness-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 236 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 $0.00023 $0.00236
Opus 5 $0.00012 $0.00118
Sonnet 5 $0.00005 $0.00047
Haiku 4.5 $0.00002 $0.00024

Measured 8d ago against content hash ec4b24e91d11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fitness-wellness-design 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 8d 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.

skills/fitness-wellness-design/SKILL.md · 31 lines

What it actually says

Fitness Wellness Design

Workout Tracking

  • Exercise selection: search + categories + recent/favorites.
  • During workout: timer/rep counter, rest intervals, current exercise.
  • Minimal UI during active exercise. Full screen, large text.
  • Complete: summary with stats, personal records, share option.

Progress Visualization

  • Charts: weight over time, volume per muscle group, frequency.
  • Calendar heat map: workout frequency.
  • Personal records: highlighted and celebrated.
  • Before/after (optional, sensitive — never prompted unsolicited).

Data Display

  • Daily summary: calories, steps, active minutes, heart rate.
  • Weekly/monthly trends.
  • Goals with progress rings (Apple Watch style).
  • Streak counters for motivation.

Sensitivity

  • Never use shame as motivation.
  • Allow hiding weight/body metrics.
  • Support diverse fitness goals (not just weight loss).
  • Respect privacy in social features.
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. 8d ago First seen · 31 lines · 23 tokens per session scan A ec4b24e91d11

Subscribe to this mod's changes

fitness-wellness-design is a skill published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 236 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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