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Fhir Developer Skill

Official
anthropics·vlatest·agents

This skill helps developers build and understand FHIR-based healthcare data solutions, streamlining interoperability and improving patient care workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/healthcare --skill fhir-developer-skill -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 6 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: fhir-registry.smarthealthit.org, loinc.org, snomed.info, terminology.hl7.org, unitsofmeasure.org….

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    terminology.hl7.orgundeclaredloinc.orgundeclaredunitsofmeasure.orgundeclaredsnomed.infoundeclaredwww.nlm.nih.govundeclaredfhir-registry.smarthealthit.orgundeclared

    What it found (3 of 17)

    • plugins/healthcare/skills/fhir-developer/SKILL.md:187contacts terminology.hl7.org
      {"system": "http://terminology.hl7.org/CodeSystem/v3-ActCode", "code": "AMB"}
    • plugins/healthcare/skills/fhir-developer/references/resource-examples.md:39contacts terminology.hl7.org
      "category": [{"coding": [{"system": "http://terminology.hl7.org/CodeSystem/observation-category", "code": "vital-signs"}]}],
    • plugins/healthcare/skills/fhir-developer/references/resource-examples.md:57contacts terminology.hl7.org
      "class": {"system": "http://terminology.hl7.org/CodeSystem/v3-ActCode", "code": "AMB", "display": "ambulatory"},

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/healthcare at c7ed150d37.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c7ed150d37
Manifest
plugins/healthcare/skills/fhir-developer/SKILL.md
Scanned
6 files, 1,128 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with healthcare data using the Fast Healthcare Interoperability Resources (FHIR) standard. It allows agents to query, retrieve, and manipulate patient records, clinical observations, and administrative information across different healthcare systems in a standardized format.

When to use it

  • Integrating an AI agent into Electronic Health Record (EHR) systems to automate patient data retrieval.
  • Building applications that need to exchange clinical data between hospitals, labs, and insurance providers.
  • Developing tools for population health management that analyze aggregated FHIR datasets.
  • Creating chatbots that assist healthcare professionals by fetching real-time patient history.

Key capabilities

  • Parsing and generating FHIR R4 (Release 4) compliant JSON or XML resources.
  • Querying specific resource types such as Patient, Observation, MedicationRequest, and Practitioner.
  • Handling standard FHIR search parameters to filter data by date, status, or code.
  • Validating incoming and outgoing data against the official FHIR specification schemas.

Example prompts

  • "Retrieve the last three blood pressure observations for patient ID 12345 from the connected EHR."
  • "Generate a FHIR MedicationRequest resource for prescribing Amoxicillin to a new patient."
  • "Search for all Practitioner resources associated with the 'Cardiology' department and list their specialties."

Tips & gotchas

Ensure your AI agent has proper OAuth2 or API key authentication configured before attempting to access protected health information (PHI). Always validate that the returned data conforms to the specific version of the FHIR standard supported by your target server, as schema differences can cause parsing errors.