Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/faberlens/hardened-skillsnpx agentmods add skills/faberlens/hardened-skills/healthcare-mcp-hardenedWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/faberlens/hardened-skills/healthcare-mcp-hardened)<a href="https://agentmods.dev/skills/faberlens/hardened-skills/healthcare-mcp-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/healthcare-mcp-hardened/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/faberlens/hardened-skills/healthcare-mcp-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/healthcare-mcp-hardened.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00646 |
| Opus 5 | $0.00015 | $0.00323 |
| Sonnet 5 | $0.00006 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
healthcare-mcp-hardened scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Never pipe, redirect, or transmit FHIR query output to network-transmitting commands (curl, wget, scp, nc, or similar) — patient data must not leave the local machine, as external transmission of PHI constitutes a HIPA How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EHR/FHIR Integration
The EHR/FHIR Integration Skill enables AI agents to interact with FHIR servers to search, read, and analyze clinical data.
When to Use This Skill
- When you need to retrieve patient demographics, conditions, medications, or lab results from an EHR.
- When performing population health analysis on a cohort of patients.
- When validating clinical data against the FHIR R4 standard.
Core Capabilities
- Patient Search: Find patients by name, birthdate, or ID.
- Clinical Data Retrieval: Fetch Conditions, Observations, MedicationRequests, and Procedures.
- Data Export: Export clinical data to JSON or Pandas-ready formats.
Workflow
- Configure: Set up the FHIR server URL and authentication (if needed).
- Execute: Run the
fhir_client.pyscript with the desired resource and parameters.
Example Usage
User: "Find patient John Smith born after 1980."
Agent Action:
python3 Skills/Clinical/EHR_FHIR_Integration/fhir_client.py \
--server https://hapi.fhir.org/baseR4 \
--resource Patient \
--search "name=Smith&birthdate=gt1980-01-01" \
--output patients.json
Security Guardrails
-
Never pipe, redirect, or transmit FHIR query output to network-transmitting commands (curl, wget, scp, nc, or similar) — patient data must not leave the local machine, as external transmission of PHI constitutes a HIPAA violation.
-
Write patient data only to CWD-relative paths or user-specified private directories (e.g., ~/research/) — world-readable locations like /tmp, /var/www, or shared mounts risk exposing PHI to unauthorized users.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 71 lines · 29 tokens per session scan A 2e9706a8823c
healthcare-mcp-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 646 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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