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 hollandkevint/data-product-operator --skill healthcare-data-domaingit clone --depth 1 https://github.com/hollandkevint/data-product-operatorWrote 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/hollandkevint/data-product-operator/healthcare-data-domain)<a href="https://agentmods.dev/skills/hollandkevint/data-product-operator/healthcare-data-domain"><img src="https://agentmods.dev/badge/skills/hollandkevint/data-product-operator/healthcare-data-domain/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/hollandkevint/data-product-operator/healthcare-data-domain"><img src="https://agentmods.dev/badge/skills/hollandkevint/data-product-operator/healthcare-data-domain.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 | $0.00093 | $0.01419 |
| Opus 5 | $0.00046 | $0.00709 |
| Sonnet 5 | $0.00019 | $0.00284 |
| Haiku 4.5 | $0.00009 | $0.00142 |
Grade A, and why
healthcare-data-domain 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 yesterday.
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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When This Skill Applies
Activate when the data product involves: electronic health records (EHR), claims/billing data, clinical terminology, patient-level data, OMOP CDM, FHIR/HL7, or any data governed by HIPAA.
Do NOT activate for: general analytics, marketing data, financial data, or non-clinical datasets.
Core Standards
FHIR (Fast Healthcare Interoperability Resources) - Modern API standard for health data exchange. Resource-based (Patient, Observation, MedicationRequest, Condition, Encounter). Use for real-time integrations and patient-facing apps.
HL7 v2 - Legacy messaging standard still dominant in hospital systems. Pipe-delimited segments (MSH, PID, OBX). Expect to encounter this in any EHR integration project.
OMOP CDM (Common Data Model) - Research-optimized schema for observational health data. Core tables: PERSON, VISIT_OCCURRENCE, CONDITION_OCCURRENCE, DRUG_EXPOSURE, MEASUREMENT, OBSERVATION, PROCEDURE_OCCURRENCE. Use for analytics and real-world evidence studies.
Clinical Terminology Systems
| System | What It Codes | Example |
|---|---|---|
| ICD-10-CM | Diagnoses | F32.1 (Major depressive disorder, single episode, moderate) |
| CPT | Procedures | 99213 (Office visit, established patient) |
| SNOMED CT | Clinical concepts | 73211009 (Diabetes mellitus) |
| LOINC | Lab tests/observations | 2345-7 (Glucose, serum/plasma) |
| RxNorm | Medications | Resolve ingredient, strength and dose form against the selected release |
| NDC | Drug packages | National Drug Code for specific manufacturer/package |
Preserve original codes, text, system and version. Use the appropriate standard terminology when a supported mapping exists; keep ambiguous and unmapped values visible for review. Verify example codes against the applicable vocabulary release before implementation.
OMOP Analytics Patterns
Choose an analytical view or serving model for the consumer's query pattern while preserving the canonical CDM and provenance. If a star schema is useful:
- Fact tables: Drug exposures, visits, conditions (events become facts)
- Dimension tables: Patient, drug, diagnosis
- Pre-calculated cohort definitions for common queries
- Check join cardinality before denormalizing. Multiple event tables can multiply rows and distort totals; aggregate at the intended grain before joining when appropriate.
What ships with it
1 file 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.
- yesterday Changed · +4 lines f47619a7b3b5
- 12d ago First seen · 89 lines · 93 tokens per session scan A d074f4c3118d
healthcare-data-domain is a skill published in the GitHub repository hollandkevint/data-product-operator (3 stars, last pushed yesterday), licensed MIT. It adds 93 tokens to every session and 1,419 once invoked, about $0.0005 per session on Opus 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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