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-trial-matchinggit 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-trial-matching)<a href="https://agentmods.dev/skills/andyzhuang/opentest/tooluniverse-clinical-trial-matching"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-clinical-trial-matching/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-trial-matching"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/tooluniverse-clinical-trial-matching.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 | $0.00128 | $0.12982 |
| Opus 5 | $0.00064 | $0.06491 |
| Sonnet 5 | $0.00026 | $0.02596 |
| Haiku 4.5 | $0.00013 | $0.01298 |
Grade A, and why
tooluniverse-clinical-trial-matching 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 9d 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 — 1,334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Trial Matching for Precision Medicine
Transform patient molecular profiles and clinical characteristics into prioritized clinical trial recommendations. Searches ClinicalTrials.gov and cross-references with molecular databases (CIViC, OpenTargets, ChEMBL, FDA) to produce evidence-graded, scored trial matches.
KEY PRINCIPLES:
- Report-first approach - Create report file FIRST, then populate progressively
- Patient-centric - Every recommendation considers the individual patient's profile
- Molecular-first matching - Prioritize trials targeting patient's specific biomarkers
- Evidence-graded - Every recommendation has an evidence tier (T1-T4)
- Quantitative scoring - Trial Match Score (0-100) for every trial
- Eligibility-aware - Parse and evaluate inclusion/exclusion criteria
- Actionable output - Clear next steps, contact info, enrollment status
- Source-referenced - Every statement cites the tool/database source
- Completeness checklist - Mandatory section showing analysis coverage
- English-first queries - Always use English terms in tool calls. Respond in user's language
When to Use
Apply when user asks:
- "What clinical trials are available for my NSCLC with EGFR L858R?"
- "Patient has BRAF V600E melanoma, failed ipilimumab - what trials?"
- "Find basket trials for NTRK fusion"
- "Breast cancer with HER2 amplification, post-CDK4/6 inhibitor trials"
- "KRAS G12C colorectal cancer clinical trials"
- "Immunotherapy trials for TMB-high solid tumors"
- "Clinical trials near Boston for lung cancer"
- "What are my options after failing osimertinib for EGFR+ NSCLC?"
NOT for (use other skills instead):
- Single variant interpretation without trial focus -> Use
tooluniverse-cancer-variant-interpretation - Drug safety profiling -> Use
tooluniverse-adverse-event-detection - Target validation -> Use
tooluniverse-drug-target-validation - General disease research -> Use
tooluniverse-disease-research
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.
- 9d ago First seen · 1,334 lines · 128 tokens per session scan A 39ac127cf2d5
tooluniverse-clinical-trial-matching is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It adds 128 tokens to every session and 12,982 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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