langcare-soap-notes — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited langcare-soap-notes (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use when a clinician needs a structured Subjective-Objective-Assessment-Plan note generated from FHIR encounter data.
fhir_read or fhir_search to retrieve the Encounter (reasonCode for chief complaint, class for setting, period, participant for provider)fhir_read to retrieve Patient demographics for note headerfhir_search to pull vital signs (Observation category=vital-signs) during the encounter windowfhir_search to pull laboratory results (Observation category=laboratory) from encounter datefhir_search to pull active MedicationRequest resources; separate pre-existing from new prescriptions by authoredOnfhir_search to pull Condition resources for encounter diagnoses and active problem listfhir_search to pull Procedure resources performed during the encounterfhir_search to pull active AllergyIntolerance for allergy listfhir_create to persist as DocumentReference (LOINC 11506-3 for progress note)fhir_search(resourceType="Encounter", queryParams="patient=[patient-id]&date=[YYYY-MM-DD]&_sort=-date&_count=1")fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&category=vital-signs&date=ge[encounter-start]&date=le[encounter-end]&_sort=-date")fhir_search(resourceType="Condition", queryParams="patient=[patient-id]&encounter=[encounter-id]")~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.