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.
npx skills add langcare/langcare-mcp-fhir --skill mental-healthgit clone --depth 1 https://github.com/langcare/langcare-mcp-fhirWrote 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/langcare/langcare-mcp-fhir/mental-health)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/mental-health"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/mental-health/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/langcare/langcare-mcp-fhir/mental-health"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/mental-health.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 | $0.00086 | $0.00884 |
| Opus 5 | $0.00043 | $0.00442 |
| Sonnet 5 | $0.00017 | $0.00177 |
| Haiku 4.5 | $0.00009 | $0.00088 |
Grade A, and why
langcare-mental-health 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mental Health Screening
When to Use This Skill
Use when a clinician needs to evaluate mental health screening scores, track symptom trends over time, and assess treatment response.
Clinical Workflow
- Use
fhir_readto retrieve Patient demographics - Use
fhir_searchto pull screening Observation resources: PHQ-9 (LOINC 44249-1), GAD-7 (LOINC 70274-6), AUDIT-C (LOINC 75626-2), PHQ-2 (LOINC 55758-7), Columbia CSSRS (LOINC 93373-2) - Pull historical screening scores for trend analysis
- Use
fhir_searchto pull active Condition resources for mental health diagnoses - Use
fhir_searchto pull active MedicationRequest for psychotropic medications (antidepressants, anxiolytics, mood stabilizers, antipsychotics) - Score interpretation per validated scales (see references/phq9-gad7-scoring.md)
- Assess treatment response: compare current scores to baseline and post-medication initiation
- Flag urgent findings: PHQ-9 item 9 (suicidal ideation) positive, severe scores, worsening trajectory
FHIR Resources
- Observation -- PHQ-9 (44249-1), GAD-7 (70274-6), AUDIT-C (75626-2), PHQ-2 (55758-7), CSSRS (93373-2)
- Condition -- Mental health diagnoses (MDD, GAD, PTSD, bipolar, SUD)
- MedicationRequest -- Psychotropic medications
- Patient -- Demographics
FHIR Query Examples
Pull PHQ-9 Trend
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=44249-1&_sort=date&_count=20")
Pull GAD-7 Scores
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=70274-6&_sort=date&_count=20")
Pull AUDIT-C
fhir_search(resourceType="Observation", queryParams="patient=[patient-id]&code=75626-2&_sort=-date&_count=5")
Clinical Guidelines
- USPSTF Grade B: depression screening for all adults
- USPSTF Grade B: anxiety screening for adults
- USPSTF Grade B: unhealthy alcohol use screening
- APA Practice Guidelines for Major Depressive Disorder
- SAMHSA screening and brief intervention guidelines
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.
- 12d ago First seen · 69 lines · 86 tokens per session scan A 269384719df3
langcare-mental-health is a skill published in the GitHub repository langcare/langcare-mcp-fhir (55 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 884 once invoked, about $0.0004 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 2026-08-30.
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