ToolUniverse is a collection of tools, interfaces, and supporting components for building AI systems that perform scientific work. It is for developers creating AI scientist agents that use APIs, databases, machine-learning tools, and domain-specific utilities. The catalogue includes skills, commands, an MCP server, an agent, and a hook for working with the ecosystem.
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 mims-harvard/ToolUniverse --skill tooluniverse-drug-regulatorygit clone --depth 1 https://github.com/mims-harvard/ToolUniverseWrote 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/mims-harvard/tooluniverse/tooluniverse-drug-regulatory)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-drug-regulatory"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-drug-regulatory/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/mims-harvard/tooluniverse/tooluniverse-drug-regulatory"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-drug-regulatory.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 | $0.00077 | $0.03641 |
| Opus 5 | $0.00039 | $0.01820 |
| Sonnet 5 | $0.00015 | $0.00728 |
| Haiku 4.5 | $0.00008 | $0.00364 |
Grade A, and why
tooluniverse-drug-regulatory 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 13d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drug Regulatory Research
Regulatory status depends on jurisdiction. FDA approval does not equal EMA approval — check the specific market the user is asking about. Generic availability depends on BOTH patent expiry AND regulatory approval — a patent may have expired but no ANDA may yet be filed or approved. Exclusivity codes (NCE, ODE, PED) can block generics even after patent expiry; always check FDA_OrangeBook_get_exclusivity before concluding a generic can enter. A 505(b)(2) NDA is not a generic — it requires its own clinical data and gets its own exclusivity period.
LOOK UP DON'T GUESS: never assume NDA numbers, exclusivity dates, or ATC codes — always call FDAGSRS, Orange Book, and RxClass tools to retrieve current data; regulatory status changes with new approvals and expirations.
Regulatory intelligence for drugs: identify FDA substances, classify drugs by therapeutic category, check approval and generic status, retrieve label sections, and find clinical trials.
When to Use
- "What is the FDA regulatory status of semaglutide?"
- "Is there a generic for Humira?"
- "What ATC class does metformin belong to?"
- "Get adverse reactions from the ibuprofen drug label"
- "When does the patent for Eliquis expire?"
- "List all drugs in the ACE inhibitor class"
- "Find clinical trials for a biosimilar of adalimumab"
NOT for (use other skills instead)
- Drug-drug interactions -> Use
tooluniverse-drug-drug-interaction - Pharmacogenomics / dosing by genotype -> Use
tooluniverse-pharmacogenomics - Drug mechanism of action / target binding -> Use
tooluniverse-drug-mechanism-research - Drug repurposing / new indications -> Use
tooluniverse-drug-repurposing
Workflow Overview
Input (drug name / brand name / UNII)
|
v
Phase 1: Substance Identification -- FDAGSRS_search_substances, FDAGSRS_get_substance
|
v
Phase 2: Drug Classification -- RxClass_get_drug_classes, RxClass_find_classes
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v
Phase 3: Approval & Generic Status -- FDA_OrangeBook_search_drug, FDA_OrangeBook_check_generic_availability
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v
Phase 4: Patent & Exclusivity -- FDA_OrangeBook_get_patent_info, FDA_OrangeBook_get_exclusivity
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v
Phase 5: Label Parsing -- DailyMed_parse_adverse_reactions, DailyMed_parse_dosing, etc.
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v
Phase 6: Clinical Trials -- search_clinical_trials
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v
Phase 7: Pharmacovigilance -- FAERS_count_reactions_by_drug_event (param: medicinalproduct)
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v
Phase 8: Literature & Approval -- PubMed_search_articles, OpenFDA_get_approval_history, RxNorm_get_drug_names
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.
- 13d ago First seen · 290 lines · 77 tokens per session scan A 3d6688cf2b10
tooluniverse-drug-regulatory is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,680 stars, last pushed 3d ago), licensed Apache-2.0. It adds 77 tokens to every session and 3,641 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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