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 JunMystery/Agent-Guidance-Python --skill healthcare-emr-patternsgit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWrote 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/junmystery/agent-guidance-python/healthcare-emr-patterns)<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/healthcare-emr-patterns"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/healthcare-emr-patterns/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/junmystery/agent-guidance-python/healthcare-emr-patterns"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/healthcare-emr-patterns.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 | $0.00050 | $0.01394 |
| Opus 5 | $0.00025 | $0.00697 |
| Sonnet 5 | $0.00010 | $0.00279 |
| Haiku 4.5 | $0.00005 | $0.00139 |
Grade A, and why
healthcare-emr-patterns 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 5d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Healthcare EMR & CDSS Development Patterns
Patterns for building Electronic Medical Record (EMR) and Clinical Decision Support Systems (CDSS). Prioritizes patient safety, clinical accuracy, practitioner efficiency, and clinical audit trail compliance.
When to Use
- Building patient encounter workflows (complaint, exam, diagnosis, prescription).
- Implementing clinical note-taking and structured template chips.
- Designing prescription/medication modules with drug interaction checking.
- Integrating Clinical Decision Support Systems (CDSS) dose validation and warning alerts.
- Implementing clinical scoring tables (NEWS2, qSOFA).
- Designing healthcare-accessible (WCAG AA) UIs for medical data entry.
How It Works
Patient Safety & Pure CDSS Functions
The CDSS engine is a pure function library with zero side effects: input clinical data, output alert arrays. This makes it highly testable.
EMR UI
↓ (user enters data)
CDSS Engine (pure functions, no side effects)
├── Drug Interaction Checker
├── Dose Validator
├── Clinical Scoring (NEWS2, qSOFA, etc.)
└── Alert Classifier
↓ (returns alerts)
1. Drug Interaction Checking
Checks a new drug against current medications and known allergies:
interface DrugInteractionPair {
drugA: string; // generic name
drugB: string; // generic name
severity: 'critical' | 'major' | 'minor';
mechanism: string;
clinicalEffect: string;
recommendation: string;
}
function checkInteractions(
newDrug: string,
currentMedications: string[],
allergyList: string[]
): InteractionAlert[] {
if (!newDrug) return [];
const alerts: InteractionAlert[] = [];
for (const current of currentMedications) {
const interaction = findInteraction(newDrug, current);
if (interaction) {
alerts.push({
severity: interaction.severity,
pair: [newDrug, current],
message: interaction.clinicalEffect,
recommendation: interaction.recommendation
});
}
}
for (const allergy of allergyList) {
if (isCrossReactive(newDrug, allergy)) {
alerts.push({
severity: 'critical',
pair: [newDrug, allergy],
message: `Cross-reactivity with documented allergy: ${allergy}`,
recommendation: 'Do not prescribe without allergy consultation'
});
}
}
return alerts.sort((a, b) => severityOrder(a.severity) - severityOrder(b.severity));
}
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.
- 5d ago First seen · 163 lines · 50 tokens per session scan A 6c0f3ccd9e19
healthcare-emr-patterns is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 1,394 once invoked, about $0.0003 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 2026-09-03.
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