Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skillsnpx agentmods add skills/happycapy-ai/happycapy-skills/treatment-plansWrote 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/happycapy-ai/happycapy-skills/treatment-plans)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/treatment-plans"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/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/happycapy-ai/happycapy-skills/treatment-plans"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/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 | $0.11578 |
| Opus 5.5 | $0.00034 | $0.04631 |
| Sonnet 5.5 | $0.00017 | $0.02316 |
| Haiku 4.5 | $0.00009 | $0.01158 |
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 1mo 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 — 13 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 — 1,577 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
20 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
- README.md 17 KB
- references/goal_setting_frameworks.md 16 KB
- references/intervention_guidelines.md 19 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_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.
- 1mo ago First seen · 1,577 lines · 86 tokens per session scan B a2d24523ab30
treatment-plans is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (137 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 11,578 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). It is 98% identical to treatment-plans, differing in 13 lines, and is treated as a copy.
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