What is mental-health-screening?

A clinical screening tool for standard questionnaires covering depression, anxiety, alcohol use, suicide risk, bipolar disorder, and post-traumatic stress. It records answers and scores in FHIR, a standard format for electronic health records.

Use it to administer named screening tools, calculate their scores, record results, and start safety-assessment workflows when suicide-risk answers are positive.

It provides consistent scoring and interpretation for several mental-health screens instead of requiring each result to be calculated by hand.

mental-health-screening — Skill for Claude Code and Codex by langcare

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 langcare/langcare-mcp-fhir --skill mental-health-screening

Clone the repo

git clone --depth 1 https://github.com/langcare/langcare-mcp-fhir

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/mental-health-screening/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/mental-health-screening)

Your own site

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/mental-health-screening"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/mental-health-screening/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/mental-health-screening"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/mental-health-screening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,707 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.

Model	Per session	Once invoked
Fable 5.1	$0.00129	$0.03707
Opus 5.5	$0.00052	$0.01483
Sonnet 5.5	$0.00026	$0.00741
Haiku 4.5	$0.00013	$0.00371

Measured 2mo ago against content hash b158d5666c0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mental-health-screening 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 2mo 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/core/specialty/mental-health-screening/SKILL.md · 351 lines

How it starts

The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mental Health Screening

Overview

Administer, score, and document validated mental health screening instruments using FHIR QuestionnaireResponse and Observation resources. Supported tools: PHQ-2 (brief depression), PHQ-9 (depression severity), GAD-7 (generalized anxiety), AUDIT-C (alcohol use), Columbia Suicide Severity Rating Scale (C-SSRS), Mood Disorder Questionnaire (MDQ, bipolar), and PC-PTSD-5 (PTSD). Calculate scores, classify severity, generate clinical recommendations by score range, and trigger safety assessment workflows for positive suicidality screens. Record results as FHIR Observations with standardized LOINC codes.

FHIR Resources Used

Resource	Purpose	Key Fields
Patient	Demographics, age	birthDate, gender
QuestionnaireResponse	Screening instrument responses	questionnaire, item, answer, authored
Observation	Screening scores and interpretations	code, valueQuantity, interpretation, effectiveDateTime
Condition	Existing mental health diagnoses	code, clinicalStatus, onsetDateTime
MedicationRequest	Current psychotropic medications	medicationCodeableConcept, status, dosageInstruction
RiskAssessment	Suicide risk documentation	prediction, method, mitigation

Instructions

Step 1: Retrieve Patient Demographics and History

Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"

Extract age (screening tools may have age-specific versions) and gender.

Pull existing mental health conditions:

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&category=encounter-diagnosis&code=35489007,197480006,724689000,66590003,47505003,313182004&clinical-status=active"

SNOMED codes:

35489007 = Depressive disorder
197480006 = Anxiety disorder
724689000 = Alcohol use disorder
66590003 = Bipolar disorder
47505003 = PTSD
313182004 = Suicidal ideation

Step 2: Pull Prior Screening Results

Tool: fhir_search
resourceType: "Observation"
queryParams: "patient=[patient-id]&code=44249-1,69737-5,75626-2,77564-3,89206-7&_sort=-date&_count=10"

Read the full file on GitHub · 351 lines

Files

What ships with it

2 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.

2mo ago First seen · 351 lines · 129 tokens per session scan A b158d5666c0d

Subscribe to this mod's changes

mental-health-screening is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 129 tokens to every session and 3,707 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-03.

mental-health-screening next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mental-health-screeninglangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	129	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code