fhir-r6-guardrails
fhir-r6-guardrails is a Health informatics & FHIR skill for AI agents, published by aks129 in the HealthClawGuardrails repository on GitHub. Skillspace rates fhir-r6-guardrails D (55/100) and it passed the safety scan; the rating is based on static analysis only.
HealthClaw Guardrails (healthclaw.io) — FHIR agent guardrails for clinical data access via MCP. Supports FHIR R4 US Core v9 (stable) and FHIR R6 ballot3 (experimental). Use when: (1) Reading patient data through MCP tools with automatic PHI redaction, (2) Writing clinical resources with two-phase propose/commit and step-up authorization, (3) Querying observation statistics or recent lab results, (4) Evaluating R6 Permission resources for access control decisions, (5) Auditing agent access to healthcare data. 14 MCP tools.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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