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 K-Dense-AI/drug-discovery-agent-skills --skill clinicaltrialsgit clone --depth 1 https://github.com/K-Dense-AI/drug-discovery-agent-skillsWrote 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/k-dense-ai/drug-discovery-agent-skills/clinicaltrials)<a href="https://agentmods.dev/skills/k-dense-ai/drug-discovery-agent-skills/clinicaltrials"><img src="https://agentmods.dev/badge/skills/k-dense-ai/drug-discovery-agent-skills/clinicaltrials/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/k-dense-ai/drug-discovery-agent-skills/clinicaltrials"><img src="https://agentmods.dev/badge/skills/k-dense-ai/drug-discovery-agent-skills/clinicaltrials.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00116 | $0.01899 |
| Opus 5 | $0.00058 | $0.00949 |
| Sonnet 5 | $0.00023 | $0.00380 |
| Haiku 4.5 | $0.00012 | $0.00190 |
Grade A, and why
clinicaltrials 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClinicalTrials.gov
The world's largest trial registry: roughly 560 000 studies, sponsor-submitted, going back to 2000. It answers the question that no bench assay can — has anyone already tried this in people, and what happened to them when they did. For a target or an indication it is the cheapest competitive and feasibility intelligence available.
Base URL: https://clinicaltrials.gov/api/v2 — REST, no key.
Docs: data-api ·
search areas
Checked against: the live v2 API, August 2026. The classic API was retired in June 2024.
Read references/api-reference.md before writing a query by hand, references/study-structure.md before reaching for a field, and references/reading-a-registry.md before drawing a conclusion from anything you find — that one is judgement, not syntax.
The three scripts
| Script | Answers |
|---|---|
ct_search.py |
What is registered against this condition or drug, and how much of it? |
ct_study.py |
What exactly did this one study set out to do? |
ct_landscape.py |
Who else is in this indication, and what stops trials here? |
COMPLETED does not mean it worked
This is the single thing to get right. overallStatus: COMPLETED means the study finished
running. It says nothing about whether the intervention succeeded — a trial that comprehensively
missed its primary endpoint completes normally.
Three separate facts, routinely conflated:
| Means | |
|---|---|
overallStatus: COMPLETED |
the study finished |
hasResults: true |
results were posted to the registry |
| whether the endpoint was met | not recorded in the registry at all |
hasResults is a top-level sibling of protocolSection, not part of the status module, and it is
the easiest useful field to miss. ct_study.py show prints a warning when a study completed
without posting results.
What ships with it
7 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.
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 · 163 lines · 116 tokens per session scan A 194a7f3da9d1
clinicaltrials is a skill published in the GitHub repository K-Dense-AI/drug-discovery-agent-skills (28 stars, last pushed 5d ago), licensed MIT. It adds 116 tokens to every session and 1,899 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 2026-08-30.
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