Agent skill · Documentation

clinical-decision-support

Prepare and validate research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Use for aggregate or synthetic research documentation and traceability—not patient care or live clinical operation.

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

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

Facts
Files in the skill folder: 28
SKILL.md size: 12 KB
Bundled scripts: yes
Version: 2.1
Requires: Python 3.11+; local files only; bundled scripts use the standard library and require no network, credentials, API keys…
Path: skills/clinical-decision-support/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

# Clinical Decision-Support Research and Evaluation ## Hard Safety Boundary This skill produces **research, evaluation, documentation, and governance artifacts only**. Never use it to: - diagnose or classify a person; - recommend, select, sequence, start, stop, or modify treatment; - calculate or communicate a patient-specific dose; - triage, prioritize, alarm, alert, or determine urgency; - make or automate a patient-specific clinical decision; - support bedside, point-of-care, or live clinical operation; - replace professional judgment or a validated, authorized clinical system; - claim FDA authorization, regulatory conformity, HIPAA compliance, or legal compliance. If a request could affect care for a person, stop the workflow and route the matter to a licensed healthcare professional using locally validated and appropriately authorized systems. Do not redirect to another skill for patient-specific care. ## In Scope - Intended-use and limitation statements for research artifacts - Aggregate cohort table shells with disclosure controls - Statistical analysis plans and survival-analysis plan review - Aggregate model or biomarker performance evaluation - Transparent GRADE evidence-

What's inside
Steps it walks through
  1. Hard Safety Boundary
  2. In Scope
  3. Data Gate
  4. Required Artifact Header
  5. Workflow
  6. 1. Frame the Research Question
  7. 2. Select the Artifact
  8. 3. Run Locally
  9. 4. Human Review
  10. GRADE Evidence Profiles
  11. Aggregate Model and Biomarker Evaluation
  12. Cohort Tables
  13. Survival Plans
  14. Decision Logic
Ships with 24 files
  • assets/aggregate_cohort_table_template.json
  • assets/aggregate_model_evaluation_template.json
  • assets/artifact_intended_use_template.json
  • assets/decision_logic_traceability_template.json
  • assets/deidentification_checklist_template.json
  • assets/evidence_profile_template.json
  • assets/survival_analysis_plan_template.json
  • references/README.md
  • references/cohort_evaluation.md
  • references/decision_logic_traceability.md
  • references/evidence_profiles.md
  • references/model_biomarker_evaluation.md
  • references/privacy_and_disclosure.md
  • references/regulatory_and_governance.md
  • references/safety_and_scope.md
  • references/security_validation.md
  • references/sources.md
  • references/study_reporting.md
  • references/survival_analysis.md
  • scripts/_common.py
  • scripts/cohort_table_generator.py
  • scripts/decision_logic_traceability.py
  • scripts/deidentification_checklist.py
  • scripts/evidence_profile_check.py
first 24 of 28
Commands it runs
python3 scripts/validate_cds_artifact.py --help
python3 scripts/evidence_profile_check.py --help
python3 scripts/model_biomarker_evaluation.py --help
python3 scripts/cohort_table_generator.py --help
python3 scripts/survival_plan_validator.py --help
python3 scripts/decision_logic_traceability.py --help
python3 scripts/deidentification_checklist.py --help
python3 -m unittest discover -s tests/clinical-decision-support -p 'test_*.py'
python3 -c "import ast,pathlib; [ast.parse(p.read_text()) for p in pathlib.Path('scripts').glob('*.py')]"
More from scientific-agent-skills
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About this skill
What does the clinical-decision-support skill do?

Prepare and validate research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Use for aggregate or synthetic research documentation and traceability—not patient care or live clinical operation.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-decision-support --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