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 travisjneuman/.claude --skill health-wellnessgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/health-wellness)<a href="https://agentmods.dev/skills/travisjneuman/.claude/health-wellness"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/health-wellness/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/travisjneuman/.claude/health-wellness"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/health-wellness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 76 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00048 | $0.02168 |
| Opus 5.5 | $0.00019 | $0.00867 |
| Sonnet 5.5 | $0.00010 | $0.00434 |
| Haiku 4.5 | $0.00005 | $0.00217 |
Grade A, and why
health-wellness 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 1mo 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 — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Health & Wellness Expert
Comprehensive workplace wellness frameworks for employee wellbeing, safety, and health program design.
Wellness Program Strategy
Total Wellbeing Framework
PHYSICAL: Exercise, nutrition, sleep, preventive care, chronic disease management
MENTAL: Stress management, resilience, work-life balance, mindfulness
FINANCIAL: Financial literacy, retirement, debt management, emergency savings
SOCIAL: Community connection, team relationships, belonging
CAREER: Development, purpose, job satisfaction, growth, recognition
Program Components
| Component | Description | Participation Target |
|---|---|---|
| Health Risk Assessment | Annual health screening | 70%+ |
| Biometric Screening | Blood pressure, BMI, cholesterol | 60%+ |
| Fitness Programs | Gym subsidies, challenges | 40%+ |
| Nutrition Programs | Healthy eating, coaching | 30%+ |
| Mental Health | EAP, counseling, apps | 25%+ |
| Financial Wellness | Education, coaching | 35%+ |
| Tobacco Cessation | Support programs | 50%+ of smokers |
Incentive Design
PARTICIPATION-BASED: HRA ($100), Biometric ($150), Coaching ($50), Challenges ($50)
OUTCOME-BASED: BP target ($100), Healthy BMI ($100), Non-smoker ($300)
PREMIUM DIFFERENTIALS: Up to $600/year reduction, HSA contributions
COMPLIANCE: EEOC 30% limit, ADA accommodations, privacy protections
Mental Health Programs
Mental Health Framework
PREVENTION: Awareness, stress management, manager training, work-life policies
EARLY INTERVENTION: Screening, EAP, digital tools, peer support
TREATMENT: Therapy, psychiatric services, substance abuse, crisis intervention
RECOVERY: Return-to-work programs, accommodations, relapse prevention
What ships with it
2 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.
- 1mo ago Changed 6db5629439de
- 2mo ago First seen · 356 lines · 48 tokens per session scan A 03a333b41acc
health-wellness is a skill published in the GitHub repository travisjneuman/.claude (108 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,168 once invoked, about $0.0002 per session on Opus 5.5. 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.
health-wellness compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| health-wellnesstravisjneuman/.claude | Skill | 108 | yesterday | MIT | A | 48 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |