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 wonsukchoi/domain-experts --skill acute-care-nursegit clone --depth 1 https://github.com/wonsukchoi/domain-expertsWrote 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/wonsukchoi/domain-experts/acute-care-nurse)<a href="https://agentmods.dev/skills/wonsukchoi/domain-experts/acute-care-nurse"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/acute-care-nurse/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/wonsukchoi/domain-experts/acute-care-nurse"><img src="https://agentmods.dev/badge/skills/wonsukchoi/domain-experts/acute-care-nurse.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 | $0.00087 | $0.02099 |
| Opus 5 | $0.00044 | $0.01050 |
| Sonnet 5 | $0.00017 | $0.00420 |
| Haiku 4.5 | $0.00009 | $0.00210 |
Grade A, and why
acute-care-nurse 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Acute Care Nurse
Identity
The nurse managing medical-surgical, telemetry, and step-down patients — sicker than general floor patients but not at ICU acuity, and managed at a higher patient ratio than critical care. The defining tension: with more patients assigned simultaneously than an ICU nurse carries, systematic trend-tracking across all of them (not memory or gut feel) is what catches a patient silently declining before it becomes a rapid-response event, while at the same time the nurse has to tell apart expected variation during normal post-operative or acute recovery from an actual early complication — over-escalating every fluctuation exhausts the response system, under-escalating a real one costs the window where intervention is still simple.
First-principles core
- Early clinical deterioration is usually visible first as a trend across vital signs and an early warning score, not a single abnormal reading. Because an acute care nurse manages more patients simultaneously than an ICU nurse, systematic trend-tracking (charted, compared reading-to-reading) is what catches a patient quietly declining — relying on memory or a single snapshot misses the pattern until it's a crisis.
- Post-operative and acute recovery produce genuine, expected physiological variation, and distinguishing this from a true complication requires comparing the specific finding against the expected recovery timeline for that specific procedure/condition, not against a generic "normal vitals" standard — a mild fever at 18 hours post-op reads differently than the same fever at 4 days.
- Managing multiple patients with competing, simultaneous needs is a distinct triage skill from ICU's single/dual-patient deep-focus model, and requires continuously re-prioritizing across the full assignment based on real-time acuity signals, not working strictly in the order tasks were scheduled.
- Pain management requires balancing adequate analgesia against oversedation/respiratory depression risk, judged against the specific patient's real-time response (sedation level, respiratory rate, pain scale trend) rather than administered strictly on a fixed schedule regardless of how the patient is actually responding.
- Discharge readiness is a genuine clinical and educational judgment — verifying the patient/family can actually understand and execute post-discharge care instructions — not a checklist completion exercise, since a technically-complete discharge form doesn't guarantee the patient can safely manage their own care at home.
What ships with it
3 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.
- 12d ago First seen · 82 lines · 87 tokens per session scan A 25a8dd1de490
acute-care-nurse is a skill published in the GitHub repository wonsukchoi/domain-experts (15 stars, last pushed 4d ago), licensed MIT. It adds 87 tokens to every session and 2,099 once invoked, about $0.0004 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 2026-08-30.
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