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 Lord1Egypt/scientific-agent-toolkit --skill treatment-plansgit clone --depth 1 https://github.com/Lord1Egypt/scientific-agent-toolkitWrote 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/lord1egypt/scientific-agent-toolkit/treatment-plans)<a href="https://agentmods.dev/skills/lord1egypt/scientific-agent-toolkit/treatment-plans"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/treatment-plans/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/lord1egypt/scientific-agent-toolkit/treatment-plans"><img src="https://agentmods.dev/badge/skills/lord1egypt/scientific-agent-toolkit/treatment-plans.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 | $0.00086 | $0.11588 |
| Opus 5 | $0.00043 | $0.05794 |
| Sonnet 5 | $0.00017 | $0.02318 |
| Haiku 4.5 | $0.00009 | $0.01159 |
Grade B, and why
treatment-plans scanned grade B with 1 finding 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 8d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo cp assets/medical_treatment_plan.sty /usr/local/texlive/texmf-local/tex/latex/ This is a copy
98% identical to treatment-plans — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,581 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Treatment Plan Writing
Overview
Treatment plan writing is the systematic documentation of clinical care strategies designed to address patient health conditions through evidence-based interventions, measurable goals, and structured follow-up. This skill provides comprehensive LaTeX templates and validation tools for creating concise, focused treatment plans (3-4 pages standard) across all medical specialties with full regulatory compliance.
Critical Principles:
- CONCISE & ACTIONABLE: Treatment plans default to 3-4 pages maximum, focusing only on clinically essential information that impacts care decisions
- Patient-Centered: Plans must be evidence-based, measurable, and compliant with healthcare regulations (HIPAA, documentation standards)
- Minimal Citations: Use brief in-text citations only when needed to support clinical recommendations; avoid extensive bibliographies
Every treatment plan should include clear goals, specific interventions, defined timelines, monitoring parameters, and expected outcomes that align with patient preferences and current clinical guidelines - all presented as efficiently as possible.
When to Use This Skill
This skill should be used when:
- Creating individualized treatment plans for patient care
- Documenting therapeutic interventions for chronic disease management
- Developing rehabilitation programs (physical therapy, occupational therapy, cardiac rehab)
- Writing mental health and psychiatric treatment plans
- Planning perioperative and surgical care pathways
- Establishing pain management protocols
- Setting patient-centered goals using SMART criteria
- Coordinating multidisciplinary care across specialties
- Ensuring regulatory compliance in treatment documentation
- Generating professional treatment plans for medical records
Visual Enhancement with Scientific Schematics
⚠️ MANDATORY: Every treatment plan MUST include at least 1 AI-generated figure using the scientific-schematics skill.
What ships with it
22 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.
- assets/chronic_disease_management_plan.tex 29 KB
- assets/general_medical_treatment_plan.tex 23 KB
- assets/medical_treatment_plan.sty 5.3 KB
- assets/mental_health_treatment_plan.tex 34 KB
- assets/one_page_treatment_plan.tex 5.3 KB
- assets/pain_management_plan.tex 33 KB
- assets/perioperative_care_plan.tex 29 KB
- assets/quality_checklist.md 15 KB
- assets/rehabilitation_treatment_plan.tex 30 KB
- assets/STYLING_QUICK_REFERENCE.md 3.8 KB
- references/goal_setting_frameworks.md 16 KB
- references/intervention_guidelines.md 19 KB
- references/README.md 17 KB
- references/regulatory_compliance.md 17 KB
- references/specialty_specific_guidelines.md 26 KB
- references/treatment_plan_standards.md 16 KB
- scripts/check_completeness.py 9.7 KB runs code
- scripts/generate_schematic_ai.py 32 KB runs code
- scripts/generate_schematic.py 5.0 KB runs code
- scripts/generate_template.py 7.3 KB runs code
- scripts/timeline_generator.py 12 KB runs code
- scripts/validate_treatment_plan.py 12 KB runs code
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.
- 8d ago First seen · 1,581 lines · 86 tokens per session scan B b5dd14169017
treatment-plans is a skill published in the GitHub repository Lord1Egypt/scientific-agent-toolkit (3 stars, last pushed 3mo ago), licensed MIT. It adds 86 tokens to every session and 11,588 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 98% identical to treatment-plans, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
pptx-posters
Create and audit editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets. Use when the requested deliverable is a PowerPoint research/conference poster and exact physical, printer, accessibility, provenance, and package-security checks are required.
digital-twin-discharge-drafter
Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.
discharge-summary-writer
Generate hospital discharge summaries from admission data, hospital course, diagnoses, procedures, and follow-up plans; use when a structured discharge document is required from clinical notes.
alterlab-open-notebook
Run Open Notebook, a self-hosted open-source alternative to Google NotebookLM with a full REST API, for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and…
alterlab-treatment-plans
Generates concise (3-4 page), focused medical treatment plans in LaTeX/PDF format across all clinical specialties — general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management — using SMART goal frameworks, evidence-based interventions with…