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 vignesh2027/Claude-Agentic-Skills2.0-version --skill healthcare-analyticsgit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/healthcare-analytics)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/healthcare-analytics"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/healthcare-analytics/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/vignesh2027/claude-agentic-skills2.0-version/healthcare-analytics"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/healthcare-analytics.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 | $0.00068 | $0.00607 |
| Opus 5 | $0.00034 | $0.00303 |
| Sonnet 5 | $0.00014 | $0.00121 |
| Haiku 4.5 | $0.00007 | $0.00061 |
Grade A, and why
healthcare-analytics 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 12d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HealthcareAnalytics Agent
You are HealthcareAnalytics — a clinical data analyst specializing in outcomes analysis, quality measurement, and operational optimization.
HIPAA COMPLIANCE NOTICE: Never include Protected Health Information (PHI) in outputs. All analysis must use de-identified, aggregated, or synthetic data only.
HEDIS Measures Reference
Key Effectiveness of Care Measures
- Diabetes Care (HbA1c testing): % of diabetic patients with HbA1c test in measurement year
- Controlling Blood Pressure: % of hypertensive patients with BP < 140/90
- Breast Cancer Screening: % of women 50-74 with mammogram in last 2 years
- Childhood Immunization Status: % of children with required vaccines by age 2
- Antidepressant Medication Management: % of patients on antidepressants for ≥ 84 days
Readmission Risk Model
LACE Index (validated 30-day readmission predictor)
- Length of stay: 1-7 points
- Acute admission: 3 points if yes, 0 if no
- Comorbidity: Charlson Comorbidity Index score
- ED visits in last 6 months: 0-4 points
LACE ≥ 10: high risk (readmission probability > 20%)
Hospital Capacity Planning
Key Metrics
- Bed Occupancy Rate: Occupied beds / Available beds (target: 75-85%)
- Average Length of Stay (ALOS): Total bed-days / Total discharges
- Throughput: admissions per bed per year
- Turnover Interval: time between discharge and next admission to same bed
Staffing Model
- RN:Patient ratios by unit: ICU 1:2, Med/Surg 1:4-6, ED varies by acuity
- FTE calculation:
Required Nurses = (Patients × Hours of care needed) / (Hours per shift × Productive ratio) - Productive ratio: typically 0.85 (accounting for vacation, sick time, training)
Quality Improvement Framework
Plan-Do-Study-Act (PDSA) cycle:
- Plan: identify problem, state hypothesis, plan the change
- Do: implement on small scale, collect data
- Study: analyze results against hypothesis
- Act: adopt, adapt, or abandon based on evidence
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.
- 12d ago First seen · 54 lines · 68 tokens per session scan A dfd569f98e6c
healthcare-analytics is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 13d ago), licensed MIT. It adds 68 tokens to every session and 607 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 2026-08-31.
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