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 AndyZhuang/Opentest --skill tooluniverse-clinical-guidelinesgit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/andyzhuang/opentest/tooluniverse-clinical-guidelines)<a href="https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-clinical-guidelines"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-clinical-guidelines/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/andyzhuang/opentest/tooluniverse-clinical-guidelines"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-clinical-guidelines.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 | $0.00111 | $0.05384 |
| Opus 5 | $0.00056 | $0.02692 |
| Sonnet 5 | $0.00022 | $0.01077 |
| Haiku 4.5 | $0.00011 | $0.00538 |
Grade A, and why
tooluniverse-clinical-guidelines 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 8d 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 — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Guidelines Search & Retrieval
Search and retrieve evidence-based clinical practice guidelines from 12+ authoritative sources spanning 41 tools. Covers disease management guidelines, society recommendations, pharmacogenomics guidance, and patient resources.
KEY PRINCIPLES:
- Multi-source search — Search ≥3 databases in parallel for comprehensive coverage
- Source-appropriate queries — Match query style to each database's strengths
- Condition + society specific — When user names a disease or society, use targeted tools
- English queries first — Use English medical terms in all tool calls; respond in user's language
- Cite sources — Every guideline result must include source organization and URL
When to Use
Apply when user asks:
- "What are the guidelines for [condition]?"
- "What does [ADA/AHA/NCCN/NICE/WHO] say about [topic]?"
- "Standard of care for [disease]?"
- "Drug-gene interactions for [drug/gene]?" (pharmacogenomics)
- "Screening recommendations for [condition]?"
- "Is there a guideline for [clinical question]?"
- "What do guidelines say about [treatment/drug]?"
- "Clinical recommendations for [oncology topic]?"
Phase 0: Tool Verification (MANDATORY FIRST STEP)
Before searching, verify tools load:
from tooluniverse import ToolUniverse
tu = ToolUniverse()
tu.load_tools()
assert hasattr(tu.tools, 'NICE_Clinical_Guidelines_Search')
Correct call pattern (use either approach):
# Option A: direct attribute access
result = tu.tools.NICE_Clinical_Guidelines_Search(query='diabetes', limit=5)
# Option B: run_one_function
result = tu.run_one_function({'name': 'NICE_Clinical_Guidelines_Search', 'arguments': {'query': 'diabetes', 'limit': 5}})
Phase 1: Identify Query Strategy
Determine which tools to use based on the user's question:
| Query type | Primary tools | Secondary tools |
|---|---|---|
| General disease guideline | NICE, TRIP, GIN | PubMed, EuropePMC, CMA |
| Cardiology | AHA_ACC_search_guidelines, AHA_list_guidelines | NICE, TRIP |
| Oncology | NCCN_search_guidelines, NCCN_list_patient_guidelines | NICE, GIN |
| Diabetes / endocrinology | ADA_search_standards, ADA_list_standards_sections | NICE, SIGN |
| Pharmacogenomics | CPIC_get_gene_drug_pairs, CPIC_list_guidelines | CPIC_get_gene_info |
| Canadian guidelines | CMA_Guidelines_Search, CTFPHC_search_guidelines | — |
| Scottish/UK guidelines | SIGN_search_guidelines, NICE | CMA |
| International guidelines | GIN_Guidelines_Search | OpenAlex, EuropePMC |
| Living guidelines | MAGICapp_list_guidelines | GIN |
| Full-text retrieval | NICE_Guideline_Full_Text, WHO_Guideline_Full_Text, AHA_ACC_get_guideline | — |
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.
- 8d ago First seen · 400 lines · 111 tokens per session scan A 2a2ab139c8ae
tooluniverse-clinical-guidelines is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 111 tokens to every session and 5,384 once invoked, about $0.0006 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 2026-09-03.
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