Agent skill · Documentation

treatment-plans

Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 23
SKILL.md size: 10 KB
Bundled scripts: yes
Version: 2.1
Requires: Python 3.11+ standard library; local JSON files only. Bundled CLIs require no network, external services, models…
Path: skills/treatment-plans/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 32,619
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 r

What's inside
Steps it walks through
  1. Hard safety boundary
  2. Required visible notice
  3. Data gate
  4. Allowed inputs
  5. Workflow
  6. 1. Establish authority and intended use
  7. 2. Generate a generic package
  8. 3. Transcribe supplied decisions without inference
  9. 4. Run deterministic local checks
  10. 5. Human review and release
  11. Source boundaries
  12. Verification
  13. Reference map
Ships with 22 files
  • assets/clinician_authored_intervention_template.json
  • assets/goals_monitoring_checkpoint_template.json
  • assets/informed_preference_shared_decision_template.json
  • assets/intended_use_handoff_template.json
  • assets/source_fact_manifest_template.json
  • assets/transition_reconciliation_template.json
  • references/README.md
  • references/documentation_workflow.md
  • references/privacy_governance.md
  • references/safety_scope.md
  • references/security_validation.md
  • references/shared_decision_handoff.md
  • references/source_boundaries.md
  • references/source_ledger.md
  • scripts/_common.py
  • scripts/check_completeness.py
  • scripts/check_consistency.py
  • scripts/generate_template.py
  • scripts/privacy_process_check.py
  • scripts/timeline_generator.py
  • scripts/validate_traceability.py
  • scripts/validate_treatment_plan.py
Commands it runs
python3 scripts/generate_template.py \
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 \
More from scientific-agent-skills
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About this skill
What does the treatment-plans skill do?

Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill treatment-plans --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going