health-interpreter
health-interpreter is a Health, fitness & nutrition skill for AI agents, published by krispuckett in the starter-skill-kit repository on GitHub. Skillspace rates health-interpreter D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Evidence-based Apple Watch and wearable health data interpreter with blood lab cross-correlation. Transforms raw biometric and lab data into actionable insights using personal baselines, composite scoring, cross-metric pattern detection, and research-backed decision trees. Covers HRV, resting HR, SpO2, sleep staging, respiratory rate, VO2max, walking HR, heart rate recovery, training load, body composition, iron panel, inflammation markers, CBC, metabolic panel, hormones, advanced lipids, and micronutrients. Calibrates to YOUR body — not population averages. Use when: interpreting health or lab data, analyzing Apple Watch metrics, making training decisions from biometrics, understanding blood work, or any question like "what do my numbers mean?" NOT for: diagnosing conditions or replacing medical advice.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 34
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 69 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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