langcare-follow-up-tasks — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited langcare-follow-up-tasks (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 to generate actionable follow-up tasks after an encounter, ensuring nothing falls through the cracks.
fhir_search to pull the recent Encounter and its associated resourcesfhir_search to identify pending ServiceRequest resources (labs ordered but not resulted, imaging ordered, referrals sent)fhir_search to identify new MedicationRequest resources requiring follow-up monitoring (new statin -> recheck LFTs in 6 weeks; new ACEi -> recheck BMP in 2 weeks)fhir_search to identify Condition resources with time-based follow-up needsfhir_create to create Task resources in FHIRfhir_search(resourceType="ServiceRequest", queryParams="patient=[patient-id]&status=active&_sort=-authored&_count=50")fhir_create(resourceType="Task", resource={"resourceType":"Task","status":"requested","intent":"order","priority":"routine","description":"[task description]","for":{"reference":"Patient/[patient-id]"},"executionPeriod":{"end":"[due-date]"}})~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.