terminology-services

terminology-services is a skill for Claude Code from aks-builds/healthcareskills. It costs 157 tokens per session (3,992 once invoked), scanned A, original, MIT.

Guidance for working with healthcare code systems: standard code lists used to describe diagnoses, lab tests, medicines, procedures, and other clinical information. It covers choosing, checking, mapping, and serving these codes in healthcare data formats.

In plain words
What is it for?
Use it when building or reviewing FHIR, CDA, or HL7 v2 integrations, selecting codes such as SNOMED CT or LOINC, connecting to a terminology server, or handling ValueSets and ConceptMaps.
Why use it?
It helps prevent invalid or made-up codes and avoids using the wrong code list for a country, care setting, or clinical purpose. It also clarifies how to use an authoritative terminology source.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: $skill-name invocation.

Part of the healthcare-skills plugin — 41 skills shipped together , and of healthcare-skills

Good fit Use it when building or reviewing FHIR, CDA, or HL7 v2 integrations, selecting codes such as SNOMED CT or LOINC, connecting to a terminology server, or handling ValueSets and ConceptMaps.

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Install with agentmods
npx agentmods add skills/aks-builds/healthcareskills/terminology-services
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aks-builds/healthcareskills --skill terminology-services
Clone the repo
git clone --depth 1 https://github.com/aks-builds/healthcareskills

Made for: Claude Code.

Or install healthcare-skills, the plugin that ships this one along with the rest of its 41 skills.

Wrote 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.

agentmods badge for terminology-services

README.md
[![agentmods](https://agentmods.dev/badge/skills/aks-builds/healthcareskills/terminology-services/github.svg)](https://agentmods.dev/skills/aks-builds/healthcareskills/terminology-services)
Your own site
<a href="https://agentmods.dev/skills/aks-builds/healthcareskills/terminology-services"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/terminology-services/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.

agentmods 80×15 button for terminology-services

Your own site · 80×15
<a href="https://agentmods.dev/skills/aks-builds/healthcareskills/terminology-services"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/terminology-services.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,992 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00157 $0.03992
Opus 5 $0.00078 $0.01996
Sonnet 5 $0.00031 $0.00798
Haiku 4.5 $0.00016 $0.00399

Measured 12d ago against content hash 2ec3138ccf19, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

terminology-services scanned grade A with 0 findings 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 12d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/terminology-services/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Terminology Services

You are an expert in healthcare terminologies and terminology services. Your goal is to help engineers choose the right code system for a given semantic, bind it correctly in FHIR/CDA/HL7 v2, and operate a terminology server (or consume one) without inventing codes. The rule is absolute: every code you reference in production must be verified against the authoritative source — never fabricate ICD-10-CM, CPT, SNOMED CT, LOINC, RxNorm, or NDC codes.

Initial Assessment

Read .agents/healthcare-context.md (fallback: .claude/healthcare-context.md) first. Key items:

  • Country / jurisdiction — drives which code sets are legally required (e.g., ICD-10-CM is US; other countries use ICD-10 WHO, ICD-10-CA, ICD-10-AM, etc.).
  • Care setting — ambulatory vs. inpatient vs. payer drives CPT vs. HCPCS vs. ICD-10-PCS.
  • EHR and IGs — US Core has specific required bindings (e.g., SNOMED CT for problem list, LOINC for labs and vitals, RxNorm for medications).
  • Terminology server / source of truth in use: VSAC, UMLS, internal terminology server, Snowstorm, Ontoserver, HAPI, etc.

Code Systems Reference

SNOMED CT

  • Scope: clinical findings, disorders, procedures, observable entities, body structures, organisms, substances, qualifier values, situations, events, social context.
  • Identifier: SCTID (Snomed CT Identifier) — long integer with a check digit and partition.
  • Hierarchy: poly-hierarchical IS-A relationships rooted at 138875005 (SNOMED CT Concept).
  • Concept model: concepts have descriptions (FSN, synonyms), relationships (IS-A and attribute relationships), and reference-set memberships.
  • Post-coordination: combine pre-coordinated concepts into expressions (e.g., 73761001 |colonoscopy| : 405813007 |procedure site| = 71854001 |colon|).
  • ECL (Expression Constraint Language): query language to define subsets — <<73761001 returns colonoscopy and descendants.
  • Editions: International (monthly), US Edition (US-specific extensions, twice yearly), UK Edition, AU, NL, etc.
  • Distribution: RF2 release format. Licensing via SNOMED International member country licenses (US: NLM provides free use under UMLS license).
  • FHIR system URI: http://snomed.info/sct. Version: http://snomed.info/sct/{module}/version/{date}.

Read the full file on GitHub · 277 lines

Files

What ships with it

3 files 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.

Changes

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.

  1. 12d ago First seen · 277 lines · 157 tokens per session scan A 2ec3138ccf19

Subscribe to this mod's changes

terminology-services is a skill published in the GitHub repository aks-builds/healthcareskills (1 stars, last pushed 3d ago), licensed MIT. It adds 157 tokens to every session and 3,992 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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