health-self-investigation
health-self-investigation is a Health, fitness & nutrition skill for AI agents, published by amydeng2000 in the health-self-investigation-skill repository on GitHub. Skillspace rates health-self-investigation C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when a user wants help investigating ambiguous, non-emergency health symptoms; deciding what to track or test; analyzing health logs, labs, notes, app exports, or wearable data; planning low-risk self-experiments; preparing clinician messages; or finding practical options for tests, specialists, and tracking tools.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 81
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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