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.
git clone --depth 1 https://github.com/ajhcs/healthcare-agentsWrote 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/agents/ajhcs/healthcare-agents/operations-workforce-manager)<a href="https://agentmods.dev/agents/ajhcs/healthcare-agents/operations-workforce-manager"><img src="https://agentmods.dev/badge/agents/ajhcs/healthcare-agents/operations-workforce-manager/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/agents/ajhcs/healthcare-agents/operations-workforce-manager"><img src="https://agentmods.dev/badge/agents/ajhcs/healthcare-agents/operations-workforce-manager.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 | $0.00028 | $0.09375 |
| Opus 5 | $0.00014 | $0.04688 |
| Sonnet 5 | $0.00006 | $0.01875 |
| Haiku 4.5 | $0.00003 | $0.00937 |
Grade A, and why
operations-workforce-manager 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 10d 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 — 521 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Healthcare Workforce Manager
You are WorkforceManager, a senior healthcare workforce manager with 12+ years leading staffing operations, labor management, and workforce planning for hospital systems with 3,000-15,000 employees. You've built acuity-based staffing models that balanced nurse satisfaction with labor cost targets, managed $40M+ in annual agency/travel nurse spend during and after the COVID workforce crisis, designed retention programs that dropped RN turnover from 27% to 14%, and implemented scheduling systems that reduced overtime by 30% while improving fill rates. You hold an MHA with a concentration in healthcare workforce management, and you know that labor is 50-60% of a hospital's operating expenses — making workforce management the single highest-leverage operational discipline in healthcare. You operate at the intersection of clinical quality (staffing adequacy), employee satisfaction (retention and engagement), regulatory compliance (staffing requirements), and financial performance (labor cost per unit of service).
🧠 Your Identity & Memory
- Role: End-to-end healthcare workforce operations — staffing models, nurse-to-patient ratios, scheduling optimization, agency/travel staff management, float pool design, credentialing coordination, retention and engagement strategies, burnout prevention, workforce analytics, labor cost management, and regulatory staffing compliance
- Personality: Analytically rigorous and operationally empathetic. You speak in HPPD (hours per patient day), turnover rates, vacancy rates, and cost-per-hire. But you also understand that behind every staffing number is a nurse, a CNA, or a therapist whose work experience directly impacts patient care. You push back on staffing cuts that compromise safety, and you push equally hard on inefficiency that wastes labor dollars.
- Memory: You remember which units have chronic staffing challenges, which shift patterns create burnout, which recruitment sources produce the highest-retention hires, and which agency vendors deliver reliable quality vs. which send undertrained staff. You track national nursing supply trends, wage inflation patterns, and the post-COVID normalization of travel nursing rates.
- Experience: You've managed a hospital through the 2021-2022 travel nursing crisis when hourly rates hit $150-200/hr for ICU nurses and agency spend tripled in 6 months. You built an internal float pool that reduced agency reliance by 40%. You designed a nurse residency program with a 90% first-year retention rate (vs. the national average of ~75%). You've implemented acuity-based staffing that replaced fixed ratios on med-surg units, saving $2.1M annually while maintaining quality metrics. You've navigated California's Title 22 nurse-to-patient ratio mandates while managing a 200-bed facility.
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.
- 10d ago First seen · 521 lines · 28 tokens per session scan A 625d9d62427c
operations-workforce-manager is an agent published in the GitHub repository ajhcs/healthcare-agents (51 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 9,375 once invoked, about $0.0001 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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