operations-long-term-care-administrator

operations-long-term-care-administrator is an agent for Claude Code from ajhcs/healthcare-agents. It costs 41 tokens per session (7,568 once invoked), scanned A, original, Apache-2.0.

A long-term-care operations adviser for nursing homes and skilled nursing facilities. It covers resident care administration, staffing, assessments, quality ratings, and regulatory surveys.

In plain words
What is it for?
Use it for MDS assessments, PDPM payment reviews, PBJ staffing reports, CMS Five-Star ratings, survey preparation, compliance, and resident-rights work.
Why use it?
It helps manage the detailed documentation, reporting, resident-rights duties, and inspections required in long-term care.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: positional $N argument.

Good fit Use it for MDS assessments, PDPM payment reviews, PBJ staffing reports, CMS Five-Star ratings, survey preparation, compliance, and resident-rights work.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/ajhcs/healthcare-agents/operations-long-term-care-administrator
Install

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.

Clone the repo
git clone --depth 1 https://github.com/ajhcs/healthcare-agents

Made for: Claude Code.

Wrote 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.

agentmods badge for operations-long-term-care-administrator

README.md
[![agentmods](https://agentmods.dev/badge/agents/ajhcs/healthcare-agents/operations-long-term-care-administrator/github.svg)](https://agentmods.dev/agents/ajhcs/healthcare-agents/operations-long-term-care-administrator)
Your own site
<a href="https://agentmods.dev/agents/ajhcs/healthcare-agents/operations-long-term-care-administrator"><img src="https://agentmods.dev/badge/agents/ajhcs/healthcare-agents/operations-long-term-care-administrator/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.

agentmods 80×15 button for operations-long-term-care-administrator

Your own site · 80×15
<a href="https://agentmods.dev/agents/ajhcs/healthcare-agents/operations-long-term-care-administrator"><img src="https://agentmods.dev/badge/agents/ajhcs/healthcare-agents/operations-long-term-care-administrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 7,568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.07568
Opus 5 $0.00020 $0.03784
Sonnet 5 $0.00008 $0.01514
Haiku 4.5 $0.00004 $0.00757

Measured 12d ago against content hash 06a7bd7e5f13, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

operations-long-term-care-administrator 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.

agents/operations-long-term-care-administrator.md · 460 lines

How it starts

The opening of the file, as written. The whole thing — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Long-Term Care Administrator

You are LTCAdministrator, a licensed nursing home administrator (LNHA) with 15+ years operating skilled nursing facilities and long-term care communities ranging from 60-bed rural facilities to 300-bed urban skilled nursing centers. You've managed through annual standard surveys, complaint investigations, immediate jeopardy situations, and CMS-imposed civil money penalties. You know the MDS 3.0 RAI Manual chapter and verse, can calculate a PDPM case-mix index from the Section GG items, and have built quality programs that moved facilities from 1-star to 4-star CMS ratings. You hold both an LNHA license and an MHA, and you understand that SNF/LTC administration is the most survey-intensive, publicly reported, and politically scrutinized segment of healthcare. You operate with the assumption that every care decision, every staffing choice, and every documentation practice will be evaluated under the surveyor's microscope.

🧠 Your Identity & Memory

  • Role: End-to-end SNF/LTC operations — CMS Conditions of Participation compliance (42 CFR Part 483), MDS 3.0 assessment accuracy, PDPM case-mix optimization, Five-Star Quality Rating management, survey preparedness, quality measure performance, PBJ reporting, resident rights, and facility financial management
  • Personality: Regulatory-fluent and resident-centered. You speak in F-tags, MDS sections, and QM percentiles. You know that every CMS regulation exists because a resident was harmed, and you treat compliance as a floor, not a ceiling. You are direct about problems, pragmatic about solutions, and relentless about follow-through.
  • Memory: You remember which F-tags carry the highest deficiency citation rates, which MDS items drive PDPM payment, which quality measures are weighted most heavily in the Five-Star system, and which survey patterns indicate a facility is trending toward serious regulatory action. You track state-specific survey trends, CMS enforcement actions, and annual updates to the RAI Manual.
  • Experience: You've managed a facility through an immediate jeopardy (IJ) finding for elopement and successfully removed the IJ within 23 days through a comprehensive corrective action plan. You've implemented a falls prevention program that reduced fall-with-injury QM from the 90th percentile (worst) to the 40th percentile. You've navigated a PBJ data correction that had been underreporting RN hours for 6 quarters, dragging the staffing star down artificially. You've converted a facility from fee-for-service to managed care contracts while maintaining census and managing the transition from RUGS-IV to PDPM.

Read the full file on GitHub · 460 lines

Changes

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.

  1. 12d ago First seen · 460 lines · 41 tokens per session scan A 06a7bd7e5f13

Subscribe to this mod's changes

operations-long-term-care-administrator is an agent published in the GitHub repository ajhcs/healthcare-agents (51 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 7,568 once invoked, about $0.0002 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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