coding-hcc-risk-adjustment
coding-hcc-risk-adjustment is a Clinical knowledge & decision support skill for AI agents, published by maziyarpanahi in the openmed repository on GitHub. Skillspace rates coding-hcc-risk-adjustment C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Maps chronic conditions extracted by OpenMed to CMS-HCC V28 risk-adjustment categories and estimates a RAF (Risk Adjustment Factor) score as decision support. Use when the user wants to surface risk-adjustable diagnoses from notes, map ICD-10-CM codes to HCC categories, estimate or reconcile a patient/panel RAF, find suspected-but-undocumented HCCs, or check MEAT documentation support. Trigger keywords: HCC, CMS-HCC, V28, RAF score, risk adjustment, Medicare Advantage, hierarchical condition category, MEAT, recapture, suspect HCC, RADV. Pairs after OpenMed NER + ICD-10 coding: consume Disease/Pathology entities from openmed.analyze_text, code them (see coding-icd10), then roll up to HCCs. CMS-HCC mappings and weights are public from CMS. This is a coding-support aid for human review, never autonomous risk-adjustment coding.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 5,313
Placed #3 of 6 in the judged category final for Clinical knowledge & decision support.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Clinical knowledge & decision support.
- Trigger
84 84 - Instructions
84 84 - Specificity
90 90 - Safety
78 78 - Disclosure
55 55 - Maintenance
55 55
Ships a working RAF-estimation code sample with real CMS crosswalk and hierarchy logic and requires MEAT-citation evidence for every candidate HCC, but keeps all logic inline rather than in separate scripts.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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