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-product-safety-surveillancegit 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-product-safety-surveillance)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-product-safety-surveillance"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-product-safety-surveillance/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-product-safety-surveillance"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-product-safety-surveillance.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 | $0.00285 | $0.04248 |
| Opus 5.5 | $0.00114 | $0.01699 |
| Sonnet 5.5 | $0.00057 | $0.00850 |
| Haiku 4.5 | $0.00028 | $0.00425 |
Grade A, and why
tooluniverse-product-safety-surveillance 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- weekly-roundup-email — 86% identical, 275 lines differ
How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Safety Surveillance (multi-product, openFDA)
Retrieve and interpret post-market safety records across every FDA-regulated product class except drug-AE signal mining: medical devices, food / dietary supplements / cosmetics, veterinary drugs, and drug supply (shortages), plus cross-product enforcement/recall reports.
KEY PRINCIPLES
- Decide the product class first. Device? Food/supplement/cosmetic? Vet drug? Drug shortage? Recall? The class picks the tool.
- Build a valid Lucene query. openFDA uses field-scoped
field:valueterms; combine with a space-separatedAND. Phrases and special characters need care (see Query Grammar). - Retrieve, then interpret. These are spontaneous/voluntary reports. Report the records and their fields; never assert causation or rates.
- Cite every record with the tool name, the openFDA endpoint, the query used, and the
totalhit count frommeta.results.total. - Stay in scope. If the request is drug-AE signal detection (PRR/ROR/IC), STOP and point to
tooluniverse-pharmacovigilance/tooluniverse-adverse-event-detection.
When to Use vs When NOT to Use
USE for:
- Device adverse events (MAUDE): "adverse events / malfunctions / deaths for [device]"
- Device recalls & enforcement: "device recalls for [firm]", "Class I device recalls"
- Device clearance context: "510(k) clearances for [device type]"
- Food / dietary-supplement / cosmetic adverse events (CAERS): "supplement reactions", "cosmetic adverse events for [brand]"
- Food recalls/enforcement: "food recall for listeria / undeclared allergen"
- Veterinary drug adverse events: "adverse events for [drug] in dogs"
- Drug shortages: "is [drug] in shortage", "injectables on current shortage"
- Drug recalls/enforcement: "drug recalls for contamination"
DO NOT USE for (point elsewhere):
- Drug adverse-event SIGNAL detection / disproportionality (PRR, ROR, IC) →
tooluniverse-pharmacovigilanceortooluniverse-adverse-event-detection - Drug-AE association strength scoring, demographic risk stratification of drug AEs → same two skills
- Drug efficacy, mechanism, pharmacogenomics → other tooluniverse-* skills
What ships with it
1 file 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.
- 1mo ago Changed · +5 lines 852b0f8849e3
- 1mo ago First seen · 245 lines · 285 tokens per session scan A 3126f100cdb1
tooluniverse-product-safety-surveillance is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,759 stars, last pushed today), licensed Apache-2.0. It adds 285 tokens to every session and 4,248 once invoked, about $0.0011 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 2026-09-03.
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