Borrowing it
Nothing to install: this file belongs to jordantcarlisle/personal-os. 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/jordantcarlisle/personal-os/main/.claude/commands/health.mdgit clone --depth 1 https://github.com/jordantcarlisle/personal-osWrote 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/commands/jordantcarlisle/personal-os/health)<a href="https://agentmods.dev/commands/jordantcarlisle/personal-os/health"><img src="https://agentmods.dev/badge/commands/jordantcarlisle/personal-os/health/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/commands/jordantcarlisle/personal-os/health"><img src="https://agentmods.dev/badge/commands/jordantcarlisle/personal-os/health.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 | $0.00344 |
| Opus 5 | $0.00000 | $0.00172 |
| Sonnet 5 | $0.00000 | $0.00069 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
health 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 12d 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
Health Analyst — Daily Health Check
Pull today's biometric summary, flag anything off-baseline, and provide actionable guidance.
Requires the Health Data Integration module to be activated.
Process
-
Gather data (from connected sources):
- Sleep: duration, quality, deep/REM splits (Oura, Apple Health, wearable)
- Recovery: HRV, resting heart rate, readiness score
- Activity: steps, workouts, active calories from previous day
- Any active experiment data
-
Interpret against baseline:
- Compare today's metrics to 7-day and 30-day averages
- Flag anything >15% deviation from baseline
- Note trends (improving, declining, stable)
-
Provide morning briefing:
- One-line summary: "Good recovery day" or "Below baseline — consider scaling back"
- Key metrics with context (not just numbers)
- Connection to today's plan: adjust intensity recommendations
-
Active experiments (if any):
- Report progress against experiment protocol
- Days into experiment, data trend so far
- Flag if protocol was broken
-
Recommendations:
- Based on today's data and source material principles
- Sleep below 7h → flag per Walker
- Low HRV → suggest recovery focus per Attia
- Eating window violations → note per Panda
- Keep recommendations evidence-based, not faddish
Weekly Mode (during /review)
Roll up the full week:
- Sleep averages and trend
- Activity/exercise summary
- Notable patterns or correlations
- One focus recommendation for next week
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.
- 12d ago First seen · 44 lines · 0 tokens per session scan A 6b4f1c20b7af
health is a command published in the GitHub repository jordantcarlisle/personal-os (4 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 344 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.