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-nutrition-food-compositiongit 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-nutrition-food-composition)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-nutrition-food-composition"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-nutrition-food-composition/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-nutrition-food-composition"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-nutrition-food-composition.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 | $0.00138 | $0.01930 |
| Opus 5.5 | $0.00055 | $0.00772 |
| Sonnet 5.5 | $0.00028 | $0.00386 |
| Haiku 4.5 | $0.00014 | $0.00193 |
Grade A, and why
tooluniverse-nutrition-food-composition 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 10d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nutrition & Food Composition Lookup
Looks up what's actually in a food or branded product — nutrient values, ingredients, allergens, additives, processing classification — from two complementary sources. Does not itself perform toxicological or epidemiological analysis; feed the retrieved data into tooluniverse-toxicology (food additive/allergen safety questions) or tooluniverse-epidemiological-analysis (dietary-exposure questions) for that.
LOOK UP, DON'T GUESS: Never state a nutrient value, ingredient list, allergen, or Nutri-Score from memory — both sources are live and current; query them.
When to Use This Skill
- "How much [protein/sodium/vitamin C/...] is in [food]?" -> FoodDataCentral
- "What's the full nutrient profile of [generic or USDA reference food]?" -> FoodDataCentral
- "What are the ingredients/allergens in [branded product]?" -> OpenFoodFacts
- "Look up this barcode" ->
OpenFoodFacts_get_product - "Find products with/without [additive, allergen, Nutri-Score grade, label]" ->
OpenFoodFacts_filter_products_by_tags
NOT for: assessing whether an additive/ingredient is toxicologically safe (-> tooluniverse-toxicology, e.g. CTD/AOPWiki/EPA CompTox for the additive's own chemical hazard data — this skill only tells you a product contains it); population-level dietary-exposure or disease-association analysis (-> tooluniverse-epidemiological-analysis); clinical nutrition guidelines or diet-disease management recommendations (out of scope for both tools here — they're data lookups, not guideline sources).
1. USDA FoodData Central — Authoritative US Nutrient Values
The USDA's official nutrient database: Foundation Foods (analytically measured reference values), SR Legacy (the historical USDA standard reference), Survey/FNDDS (foods as reported in national dietary surveys), and Branded (commercial products, including label-declared values).
| Tool | Use for | Key params |
|---|---|---|
FoodDataCentral_search_foods |
Keyword search across all data types, or one filtered type | query, page_size (max 200), page_number, data_type ("Foundation" | "Branded" | "SR Legacy" | "Survey (FNDDS)") |
FoodDataCentral_get_food |
Full nutrient profile (70+ nutrients) for a known fdcId |
fdc_id |
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.
- 10d ago First seen · 74 lines · 138 tokens per session scan A d1fab5ac3dda
tooluniverse-nutrition-food-composition is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,744 stars, last pushed yesterday), licensed Apache-2.0. It adds 138 tokens to every session and 1,930 once invoked, about $0.0006 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 2026-10-07.
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