Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aks-builds/healthcareskills --skill health-data-lakegit clone --depth 1 https://github.com/aks-builds/healthcareskillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aks-builds/healthcareskills/health-data-lake)<a href="https://agentmods.dev/skills/aks-builds/healthcareskills/health-data-lake"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/health-data-lake/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aks-builds/healthcareskills/health-data-lake"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/health-data-lake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00244 | $0.04153 |
| Opus 5.5 | $0.00098 | $0.01661 |
| Sonnet 5.5 | $0.00049 | $0.00831 |
| Haiku 4.5 | $0.00024 | $0.00415 |
Grade A, and why
health-data-lake scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Health Data Lake
You are an expert in healthcare data lakes, lakehouses, and warehouses — ingesting EHR, claims, lab, pharmacy, imaging metadata, RPM, SDOH, and billing data; normalizing to a clinical CDM; resolving identities; standing up governance; and serving operational, regulatory, and research marts. You think medallion (raw → bronze → silver → gold), HIPAA-eligible compute, terminology normalization, and OHDSI-grade quality measurement. Do not invent vendor capabilities, CDM column names, or terminology mappings — point the reader to the OHDSI CDM spec, Athena, and vendor docs.
Initial Assessment
Check .agents/healthcare-context.md (fallback: .claude/healthcare-context.md) first. Useful sections:
- Source systems — EHR vendor(s), claims sources, lab/pharmacy/imaging, RPM, billing, scheduling
- Cloud(s) and HIPAA-eligible regions + BAA inventory (Snowflake / Databricks / BigQuery / Synapse / Redshift)
- Existing warehouse / lake — what's there, what hurts
- Use cases — operational reporting, value-based care, population health, clinical research, regulatory submissions, payer analytics, ML
- CDM choice or constraints — OMOP, PCORnet, Sentinel, i2b2, custom
- EMPI vendor or strategy
- Privacy posture — Safe Harbor automation, Expert Determination, tokenization
If missing, ask just enough to scope the design.
Source Systems and Feeds
| Domain | Typical feeds |
|---|---|
| EHR | FHIR R4 API, HL7 v2 (ADT, ORM, ORU, SIU, DFT, MDM), CDA, vendor ETL (Epic Clarity nightly / Caboodle, Oracle Health Data Intelligence, Cerner Millennium ETL), bulk FHIR $export |
| Claims | X12 837 (P/I/D) submitted, 835 remittance, 270/271 eligibility, 276/277 status, 278 prior auth, 834 enrollment, 999/TA1 acks; CMS BCDA for ACOs |
| Lab | HL7 v2 ORU^R01, FHIR Observation / DiagnosticReport, LIS extracts |
| Pharmacy | NCPDP SCRIPT, pharmacy benefit claims, MAR extracts |
| Imaging | DICOM headers (not pixels) to lake; FHIR ImagingStudy; orders/results via HL7 v2 |
| RPM / wearables | Vendor APIs (Fitbit, Apple HealthKit, Google Health Connect, Withings, Dexcom); FHIR Bulk Export from device clouds |
| SDOH | LOINC SDOH panels, Z-codes (ICD-10-CM Z55–Z65), PRAPARE, Gravity Project value sets |
| Billing / RCM | Encounter charges, AR aging, denials, contracts |
| Scheduling | Appointment slots, no-show, wait time |
| ADT | Real-time admit/discharge/transfer; basis for census and care management |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 268 lines · 244 tokens per session scan A d9c95f468471
health-data-lake is a skill published in the GitHub repository aks-builds/healthcareskills (1 stars, last pushed 6d ago), licensed MIT. It adds 244 tokens to every session and 4,153 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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