risk-adjustment
From the author
Pipeline skill for CMS-HCC risk adjustment calculation and coding gap identification. Use when the user asks to apply the ICD-10-to-HCC crosswalk, calculate RAF scores, resolve disease hierarchies programmatically, identify coding gaps from Rx or lab proxies, project member-level risk scores, build a risk adjustment data pipeline, compute HCC coefficients, run hierarchy resolution code, or generate member risk score reports. Triggers include "calculate RAF score", "ICD-10 to HCC crosswalk", "hierarchy resolution code", "coding gap detection", "Rx proxy gap", "lab proxy gap", "risk score projection", "HCC pipeline", "member risk report", "risk adjustment Python", "risk adjustment SQL", "RAF calculation code", "CMS-HCC pipeline".
Install
npx skills add awslabs/hcls-agent-skills --skill risk-adjustment -a claude-code
Installs to .claude/skills/risk-adjustment/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 82
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- risk-adjustment-strategyawslabs/hcls-agent-skillsReasoning skill for CMS-HCC risk adjustment strategy and methodology. Use when the user asks about CMS-HCC model versions V24 or V28, blended transition methodology, ICD-10-to-HCC mapping logic, disease interaction hierarchies, RAF score methodology, risk adjustment factor calculation, coding gap identification, audit-defensible documentation, HCC recapture strategy, prospective vs retrospective risk adjustment, or Medicare Advantage risk scoring. Triggers include "CMS-HCC", "V24", "V28", "blended transition", "HCC mapping", "disease hierarchy", "RAF score", "risk adjustment", "coding gap", "HCC recapture", "chart review", "audit defensible", "risk score methodology", "Medicare Advantage risk", "capitation revenue", "hierarchical condition category".Engineering★ 66
- quality-measuresawslabs/hcls-agent-skillsPipeline skill for computing HEDIS quality measures from claims and clinical data. Use when the user asks to calculate HEDIS measure rates, check continuous enrollment, build denominator/numerator logic, detect care gaps, compute utilization rates, identify high-cost claimants, or score risk stratification indices. Triggers include "calculate HEDIS", "measure rate", "continuous enrollment check", "care gap detection", "denominator query", "numerator logic", "utilization rate", "high-cost claimant", "Charlson score", "LACE score", "claims analysis", "quality measure SQL".Data★ 66
- claims-analyticsawslabs/hcls-agent-skillsPipeline skill for healthcare claims data parsing, analysis, and fraud detection. Use when the user asks to parse X12 837 or 835 claim files, manipulate ICD-10 CPT or HCPCS codes, detect billing pattern anomalies, profile providers against specialty peers, identify outlier billing behavior, validate NCCI edits programmatically, detect duplicate claims, run Benford's law analysis on charges, build claims data pipelines, or analyze E&M code distributions. Triggers include "parse X12 837", "parse 835", "claims SQL", "ICD-10 manipulation", "CPT code analysis", "provider profiling", "billing outlier", "NCCI validation code", "duplicate claim detection", "Benford's law charges", "claims ETL", "E&M distribution analysis", "claims analytics pipeline".Data★ 66
- relay-recontonone-ai/tononeMap the full CI/CD pipeline — triggers, build, test, deploy flow — with risk assessment. Use when asked "how does this deploy", "map the pipeline", or "understand CI/CD".Testing★ 76
- multi-omics-pipelineawslabs/hcls-agent-skillsPipeline skill for multi-omics data processing and integration. Use when the user asks to map gene IDs between HGNC Ensembl and UniProt, convert between omic data formats, run batch correction with ComBat or ComBat-seq, perform GSEA or over-representation analysis on multi-omic results, run consensus clustering on integrated data, execute MOFA2 in R or mofapy2 in Python, build a multi-omics ETL pipeline, harmonize feature identifiers across omics layers, or run clusterProfiler enrichment. Triggers include "map Ensembl to HGNC", "ID mapping omics", "ComBat code", "run MOFA2", "mofapy2", "GSEA Python", "fgsea R", "consensus clustering", "multi-omics pipeline", "gseapy", "biomaRt", "clusterProfiler", "mixOmics DIABLO".Data★ 66
- risk-method-draftingbetter-isms/grcskillsUse this skill when a company needs a written risk assessment method before it builds or rescores a register, or when the current method produces registers where everything scores 3. Triggers: "write our risk methodology", "define likelihood and impact scales", "what is our risk appetite", "risk acceptance criteria", "who can accept a risk", "our auditor says the method is not repeatable", "risk matrix for our ISMS". Drafts a short method with likelihood and impact anchors in the company's own money, hours and records, a scoring rule, an acceptance threshold with an authority ladder, reassessment triggers, and a calibration test on five sample risks.Testing★ 51
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in