treatment-plans
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Formats and structurally validates 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.
- Package
- 23 files, 161 KB
- SKILL.md
- 1482 words, 12+ sections
- Code
- Python (8)
- License
- MIT
- Compatibility
- Python 3.11+ standard library; local JSON files only. Bundled CLIs require no network, external services, models, images, credentials, environment variables, or third-party packages.
SKILL.md covers: Treatment-Plan Documentation · Hard safety boundary · Required visible notice · Data gate · Allowed inputs · Workflow · 1. Establish authority and intended use · 2. Generate a generic package · 3. Transcribe supplied decisions without inference · 4. Run deterministic local checks · 5. Human review and release · Source boundaries
Findings
No findings. SAFE
What is in the package
23 files, 161 KB. Show the list.
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 12 KB |
assets/clinician_authored_intervention_template.json | config | 408 B |
assets/goals_monitoring_checkpoint_template.json | config | 446 B |
assets/informed_preference_shared_decision_template.json | config | 408 B |
assets/intended_use_handoff_template.json | config | 2.9 KB |
assets/source_fact_manifest_template.json | config | 381 B |
assets/transition_reconciliation_template.json | config | 880 B |
references/README.md | doc | 1.4 KB |
references/documentation_workflow.md | doc | 7.5 KB |
references/privacy_governance.md | doc | 6.5 KB |
references/safety_scope.md | doc | 5.3 KB |
references/security_validation.md | doc | 5.6 KB |
references/shared_decision_handoff.md | doc | 5.5 KB |
references/source_boundaries.md | doc | 6.4 KB |
references/source_ledger.md | doc | 8.7 KB |
scripts/_common.py | script | 40 KB |
scripts/check_completeness.py | script | 18 KB |
scripts/check_consistency.py | script | 12 KB |
scripts/generate_template.py | script | 3.7 KB |
scripts/privacy_process_check.py | script | 6.4 KB |
scripts/timeline_generator.py | script | 8.4 KB |
scripts/validate_traceability.py | script | 4.5 KB |
scripts/validate_treatment_plan.py | script | 2.5 KB |
External hosts referenced
www.fda.gov docs.python.org www.hhs.gov arxiv.org www.ahrq.gov digitalassets.jointcommission.org doi.org export.arxiv.org ocrportal.hhs.gov pso.ahrq.gov www.accessdata.fda.gov www.cms.gov www.jointcommission.org www.nice.org.uk www.who.int
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-treatment-plans-scan.json
- Badge for your README:
- Request a re-scan