medication-adherence-assessment
medication-adherence-assessment is a Clinical knowledge & decision support skill for AI agents, published by langcare in the langcare-mcp-fhir repository on GitHub. Skillspace rates medication-adherence-assessment D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Assesses medication adherence by analyzing fill patterns from MedicationDispense records and calculating MPR and PDC metrics. Use when user asks to "check medication adherence", "assess compliance", "review refill history", mentions "medication possession ratio", "proportion of days covered", "missed refills", or needs adherence counseling support. Do NOT use for drug interactions, reconciliation, or prescribing appropriateness.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 47
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
- 84 / 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
- 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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