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 problem-list-auditgit 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/problem-list-audit)<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/problem-list-audit"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/problem-list-audit/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/problem-list-audit"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/problem-list-audit.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 | $0.00067 | $0.00758 |
| Opus 5.5 | $0.00027 | $0.00303 |
| Sonnet 5.5 | $0.00013 | $0.00152 |
| Haiku 4.5 | $0.00007 | $0.00076 |
Grade A, and why
langcare-problem-list-audit 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Problem List Audit
When to Use This Skill
Use when a clinician needs to validate the accuracy and completeness of a patient's active problem list by cross-referencing against medications, lab results, and encounter history.
Clinical Workflow
- Use
fhir_searchto pull all Condition resources (active, resolved, inactive) for the patient - Use
fhir_searchto pull active MedicationRequest resources -- infer expected diagnoses from medications (e.g., metformin implies diabetes, levothyroxine implies hypothyroidism) - Use
fhir_searchto pull recent Observation (laboratory) results -- infer conditions from abnormal lab patterns (e.g., elevated HbA1c implies diabetes, elevated TSH implies hypothyroidism) - Use
fhir_searchto pull recent Encounter resources and their associated Condition resources (encounter diagnoses) to find conditions documented in visits but missing from the problem list - Cross-reference all sources: flag medications without a supporting active problem, lab patterns without a corresponding diagnosis, encounter diagnoses not on the active problem list, and active problems with no supporting evidence in recent encounters/medications/labs
FHIR Resources
- Condition -- Problem list entries with clinicalStatus, verificationStatus, code (ICD-10/SNOMED), onset, abatement
- MedicationRequest -- Active medications implying diagnoses
- Observation -- Lab results with patterns suggesting undiagnosed conditions
- Encounter -- Recent visits with encounter-specific diagnoses
FHIR Query Examples
Pull All Conditions
fhir_search(resourceType="Condition", queryParams="patient=[patient-id]&_count=200")
Pull Active Medications
fhir_search(resourceType="MedicationRequest", queryParams="patient=[patient-id]&status=active&_count=100")
Pull Recent Encounter Diagnoses
fhir_search(resourceType="Encounter", queryParams="patient=[patient-id]&date=ge[12-months-ago]&_sort=-date&_count=50")
Clinical Guidelines
- CMS requires accurate problem list maintenance for quality reporting and risk adjustment (HCC coding)
- ICD-10 coding specificity requirements: prefer specific codes (E11.65 T2DM with hyperglycemia) over unspecified (E11.9)
- SNOMED CT preferred for clinical documentation; ICD-10-CM required for billing
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 · 61 lines · 67 tokens per session scan A c9c6a95d5297
langcare-problem-list-audit is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 67 tokens to every session and 758 once invoked, about $0.0003 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 2026-08-30.
langcare-problem-list-audit compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| langcare-problem-list-auditlangcare/langcare-mcp-fhir | Skill | 71 | 6mo ago | MIT | A | 67 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |