# Treatment Plans

> Formatea y valida estructuralmente documentación local de planes de tratamiento tras decisiones clínicas ya suministradas y verificadas por profesionales autorizados: trazabilidad, intervenciones, metas y handoffs, no decisiones clínicas.

Fuente: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/treatment-plans
Markdown: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/treatment-plans.md

Repositorio: https://github.com/K-Dense-AI/scientific-agent-skills
Autor: K-Dense-AI
Licencia: MIT
Actualizado: el mes pasado
Coste de contexto: 92 tok instalada, 2.5k tok al activarse, 38.5k tok con todos los archivos del bundle
Bundle: 23 archivos, 150 KB
Permisos que pide: ninguno declarado

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent claude-code
# Cursor
npx -y skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent cursor
# Codex
npx -y skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent codex
# Gemini CLI
npx -y skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent gemini
# Windsurf
npx -y skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent windsurf
# Cline
npx -y skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent cline
```

## Qué hace

- Formatea y valida estructuralmente paquetes de documentación de planes de tratamiento a partir de plantillas JSON locales
- Verifica trazabilidad de fuentes, completitud, consistencia y el proceso de privacidad con scripts locales deterministas
- Genera un calendario explícito solo con fechas ya suministradas en el paquete, sin inferir intervalos clínicos
- Exige una nota visible de "DRAFT — NOT MEDICAL ADVICE" en todo componente y bloquea el release hasta la revisión humana
- Rechaza rutas no locales, symlinks, JSON con claves duplicadas o campos desconocidos, y nunca usa red, LLMs ni pickle

## Cuándo usarla

- Formatear o validar documentación de un plan de tratamiento cuyas decisiones clínicas ya fueron tomadas y verificadas por un profesional autorizado
- Necesitas trazabilidad de fuentes, registros de intervenciones, metas/checkpoints o decisiones compartidas documentadas
- Preparar un handoff de reconciliación o transición con enrutamiento de elementos pendientes
- Generar un release gate bloqueado hasta que se complete la revisión humana requerida

## Cuándo no

- Diagnosticar, evaluar o clasificar a una persona
- Elegir, recomendar o comparar terapias, medicamentos, dosis, o iniciar/detener un tratamiento
- Determinar urgencia, dar indicaciones de emergencia o predecir pronóstico o resultado clínico

## Qué la activa

- "Genera el paquete de plantillas de plan de tratamiento para este caso sintético"
- "Valida la trazabilidad de este paquete de documentación clínica"
- "Corre el chequeo de completitud y consistencia sobre este plan de tratamiento"
- "Genera el calendario explícito de fechas de este paquete"

## Antes de instalar

- Requiere solo Python 3.11+ estándar y archivos JSON locales; no usa red, credenciales, modelos ni paquetes externos, y el release final exige revisión y firma de un profesional autorizado.
- Necesita en el PATH: python3

## Archivos

- SKILL.md — 10 KB
- assets/clinician_authored_intervention_template.json — 408 B
- assets/goals_monitoring_checkpoint_template.json — 446 B
- assets/informed_preference_shared_decision_template.json — 408 B
- assets/intended_use_handoff_template.json — 3 KB
- assets/source_fact_manifest_template.json — 381 B
- assets/transition_reconciliation_template.json — 880 B
- references/README.md — 1 KB
- references/documentation_workflow.md — 6 KB
- references/privacy_governance.md — 6 KB
- references/safety_scope.md — 5 KB
- references/security_validation.md — 4 KB
- references/shared_decision_handoff.md — 5 KB
- references/source_boundaries.md — 6 KB
- references/source_ledger.md — 8 KB
- scripts/_common.py — 39 KB
- scripts/check_completeness.py — 18 KB
- scripts/check_consistency.py — 12 KB
- scripts/generate_template.py — 4 KB
- scripts/privacy_process_check.py — 6 KB
- scripts/timeline_generator.py — 8 KB
- scripts/validate_traceability.py — 4 KB
- scripts/validate_treatment_plan.py — 2 KB

## SKILL.md

Reproducido tal cual desde K-Dense-AI/scientific-agent-skills bajo MIT. Esta sección es el documento original y está en inglés.

# Treatment-Plan Documentation

## Hard safety boundary

This skill only **formats and validates documentation of decisions already made, supplied, and verified by authorized licensed professionals**.

Never use it to:

- diagnose, assess, classify, or screen a person;
- select, rank, recommend, substitute, or compare therapies;
- choose a medication, dose, route, frequency, duration, or monitoring threshold;
- start, stop, hold, resume, titrate, taper, or deprescribe anything;
- check interactions, allergies, contraindications, organ-function suitability, or treatment eligibility;
- infer missing clinical content, intervals, dates, targets, escalation criteria, or instructions;
- triage, determine urgency, provide emergency advice, or create a safety plan;
- predict outcomes, prognosis, response, benefit, harm, or clinical appropriateness;
- replace medication reconciliation, pharmacist review, informed consent, clinician review, or an authorized clinical system;
- claim FDA approval, HIPAA compliance, legal compliance, completeness of care, clinical safety, or standard-of-care conformity.

If a request crosses a boundary, stop. Ask for a locally verified clinician-authored record or route the matter to the responsible licensed professional. Do not redirect to another skill to obtain a patient-specific recommendation.

If a concern may be urgent or emergent, stop this workflow and route it through the institution's current clinical escalation or emergency process. This skill does not decide urgency and does not provide emergency instructions.

## Required visible notice

Every component and derived schedule must display:

> **DRAFT — NOT MEDICAL ADVICE — DOCUMENTATION-ONLY — AUTHORIZED CLINICIAN SIGN-OFF REQUIRED**

Structural success never removes this notice. Only the authorized local workflow may set the release gate.

## Data gate

Prefer synthetic or qualified de-identified structured manifests. Do not place patient names, medical-record numbers, contact details, dates of birth, addresses, free-text notes, images, or other direct identifiers in examples.

For any real-patient or patient-derived data:

1. Work only in a locally authorized environment under the institution's current privacy, security, retention, and access policies.
2. Use the minimum information necessary for the documented purpose, even when a legal exception may apply.
3. Do not send content to a model, search engine, API, image service, telemetry service, or any other external tool.
4. Do not copy content into chat prompts, command history, logs, test fixtures, examples, screenshots, or reports.
5. Run bundled scripts only against local paths. Their reports identify rule codes and field paths, not clinical values.
6. Require qualified privacy review before treating patient-derived material as de-identified or releasing it.

If these conditions are not documented, do not read or process the content. Use synthetic templates only.

## Allowed inputs

Accept only bounded UTF-8 JSON objects built from these generic templates:

- `assets/source_fact_manifest_template.json`
- `assets/clinician_authored_intervention_template.json`
- `assets/goals_monitoring_checkpoint_template.json`
- `assets/informed_preference_shared_decision_template.json`
- `assets/transition_reconciliation_template.json`
- `assets/intended_use_handoff_template.json`

The templates contain no disease-specific recommendations, example patients, clinical intervals, doses, targets, thresholds, or inferred care pathways. Empty template arrays and pending attestations are intentional release blockers.

## Workflow

### 1. Establish authority and intended use

- Confirm the accountable clinical owner and authorized licensed signatory.
- Confirm that every clinical decision already exists in a verified local source.
- Record jurisdiction, institution, setting, document owner, local policies, retention rule, and intended recipients.
- Record whether the package is synthetic, qualified de-identified, or real-patient minimum-necessary data.
- Keep the release gate `blocked` until every required review is complete.

Read `references/safety_scope.md` and `references/privacy_governance.md` before processing patient-derived material.

### 2. Generate a generic package

```bash
python3 scripts/generate_template.py \
  --output-dir ./local-plan-package \
  --subject-ref SYNTHETIC-CASE-001 \
  --classification synthetic
```

The generator copies all six templates. It does not create clinical content and does not overwrite existing files.

### 3. Transcribe supplied decisions without inference

- Copy only clinician-authored facts and interventions from verified local sources.
- Preserve source locators, versions/dates, author role, verification role, and verification time.
- Record goals, monitoring items, checkpoint dates, and transition dates exactly as supplied.
- Record options, benefits, harms, uncertainty, preferences, and the outcome only as documented by the responsible clinician.
- Leave missing fields unresolved. Never fill them from general knowledge.
- For medication content, record the clinician-authored text and current local source references; do not interpret or validate it.

See `references/documentation_workflow.md`, `references/source_boundaries.md`, and `references/shared_decision_handoff.md`.

### 4. Run deterministic local checks

From the skill directory:

```bash
python3 scripts/validate_treatment_plan.py ./local-plan-package
python3 scripts/validate_traceability.py ./local-plan-package
python3 scripts/check_completeness.py ./local-plan-package
python3 scripts/privacy_process_check.py ./local-plan-package
python3 scripts/check_consistency.py ./local-plan-package
python3 scripts/timeline_generator.py ./local-plan-package \
  --output ./local-plan-package/explicit-date-schedule.json
```

The scripts:

- reject non-local paths, symlinks, duplicate JSON keys, unknown fields, oversized inputs, excessive nesting, and unbounded collections;
- never use network access, environment variables, dynamic execution, pickle, subprocesses, images, or LLMs;
- never assess diagnosis, medication safety, interactions, contraindications, clinical appropriateness, urgency, prognosis, or guideline concordance;
- schedule only dates already supplied in the package and never derive recurrence or clinical intervals;
- minimize reports to counts, rule codes, document types, and field paths.

### 5. Human review and release

Require the accountable authorized team to:

- compare every transcribed item with its signed source;
- perform medication reconciliation and all clinical checks in approved systems;
- verify current FDA labeling, Medication Guide, REMS materials, and local formulary/policy when applicable;
- resolve every discrepancy and missing item;
- review shared-decision and informed-preference documentation;
- review transition recipients, ownership, pending results, and local escalation routing;
- complete privacy, security, legal, regulatory, records, and institutional review as applicable;
- sign, date, and release through the authorized record system.

The final handoff must retain provenance and unresolved-item routing. A script pass is not authorization to use the package for care.

## Source boundaries

- Use FDA labeling databases, current Medication Guides, and REMS materials as authoritative source records only when an authorized clinician or pharmacist verifies applicability. This skill does not interpret them.
- Use WHO or Joint Commission transition guidance only for process structure such as information transfer, reconciliation documentation, ownership, and checklists.
- Use AHRQ, NICE, or applicable professional guidance to document that shared decision-making occurred; do not generate options or risk estimates.
- Apply CMS documentation requirements only when the exact program, provider type, jurisdiction, and current local policy are confirmed.
- Route safety events, product reports, privacy incidents, and other reportable matters through current local governance. This skill records a route; it does not submit reports.

See `references/source_ledger.md` for the dated official-source ledger.

## Verification

```bash
PYTHONDONTWRITEBYTECODE=1 python3 -m unittest discover \
  -s tests/treatment-plans -p 'test_*.py' -v
```

Run AST parsing without bytecode:

```bash
PYTHONDONTWRITEBYTECODE=1 python3 -c \
  "import ast,pathlib; [ast.parse(p.read_text()) for p in pathlib.Path('scripts').glob('*.py')]"
```

## Reference map

- `references/README.md` — scope and navigation
- `references/safety_scope.md` — refusal, routing, and release boundaries
- `references/privacy_governance.md` — local handling and de-identification limits
- `references/documentation_workflow.md` — package lifecycle and review gates
- `references/source_boundaries.md` — FDA labeling, REMS, and governance boundaries
- `references/shared_decision_handoff.md` — informed preferences, reconciliation, and transitions
- `references/source_ledger.md` — dated authoritative sources
- `references/security_validation.md` — baseline findings and validation record

## Dónde encaja

- Categoría: [Documentos](https://skillsagentes.com/categorias/documentos.md) — Lee, escribe y transforma archivos PDF, DOCX, XLSX y PPTX.
- Creador: [K-Dense-AI](https://skillsagentes.com/creators/k-dense-ai.md) — 163 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Citation Management](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/citation-management.md): Gestión integral de citas académicas: busca en OpenAlex, PubMed y Google Scholar, extrae metadatos precisos, valida citas y genera entradas BibTeX correctamente formateadas.
- [Scientific Slides](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/scientific-slides.md): Crea decks de diapositivas y presentaciones para charlas de investigación: PowerPoint, presentaciones de conferencia, seminarios, defensas de tesis. Da estructura, plantillas, guía de tiempos y validación visual.
- [Literature Review](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/literature-review.md): Realiza revisiones bibliográficas sistemáticas y completas usando varias bases académicas (PubMed, arXiv, bioRxiv, Semantic Scholar). Genera markdown y PDF con citas verificadas en varios estilos (APA, Nature, Vancouver).
- [Infographics](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/infographics.md): Crea infografías profesionales con Nano Banana Pro AI y refinamiento iterativo inteligente. Usa Gemini 3.6 Flash para revisar la calidad e integra investigación con Perplexity Sonar. Soporta 10 tipos, 8 estilos y paletas para daltonismo.
- [Latex Posters](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/latex-posters.md): Crea pósteres de investigación profesionales en LaTeX con beamerposter, tikzposter o baposter, para conferencias y comunicación científica: layout, colores, columnas múltiples e integración de figuras.

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