diabetes-panel-review
diabetes-panel-review is a Clinical knowledge & decision support skill for AI agents, published by langcare in the langcare-mcp-fhir repository on GitHub. Skillspace rates diabetes-panel-review D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Pulls and interprets diabetes-related labs (HbA1c, glucose, lipids, renal, microalbumin) with ADA Standards of Care assessment and complications screening status. Use when user asks to "review diabetes labs", "check A1c", "diabetes panel", "glucose control", "diabetes management review", "diabetic screening", or needs assessment of glycemic control and diabetes complication monitoring. Do NOT use for general lab review, non-diabetic renal function, or lipid-only analysis.
- 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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