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 skill_templategit 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/skill_template)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/skill_template"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/skill_template/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/skill_template"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/skill_template.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 | $0.00000 | $0.01624 |
| Opus 5.5 | $0.00000 | $0.00650 |
| Sonnet 5.5 | $0.00000 | $0.00325 |
| Haiku 4.5 | $0.00000 | $0.00162 |
Grade A, and why
tooluniverse-[domain-name] 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.
How it starts
The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[Domain Name] Analysis
[One paragraph overview describing what this skill does, what problems it solves, and what outputs it provides.]
When to Use This Skill
Triggers:
- "[Trigger phrase 1]"
- "[Trigger phrase 2]"
- "[Trigger phrase 3]"
Use Cases:
- [Use Case 1]: [Description]
- [Use Case 2]: [Description]
- [Use Case 3]: [Description]
Core Databases Integrated
| Database | Coverage | Strengths |
|---|---|---|
| Database 1 | [What it covers] | [What it's best for] |
| Database 2 | [What it covers] | [What it's best for] |
| Database 3 | [What it covers] | [What it's best for] |
Workflow Overview
Input → Phase 1: [Name] → Phase 2: [Name] → Phase 3: [Name] → Report
Phase 1: [Phase Name]
When: [When this phase runs - e.g., "When input_param_1 provided"]
Objective: [What this phase achieves]
Tools Used
TOOL_NAME_1:
- Input:
parameter1(type, required/optional): Descriptionparameter2(type, required/optional): Description
- Output: Description of what the tool returns
- Use: What this tool provides for the analysis
TOOL_NAME_2 (Fallback):
- Input: [Parameters]
- Output: [Description]
- Use: [Purpose]
Workflow
- Query TOOL_NAME_1 with [input description]
- Extract [specific data fields] from response
- If no results → try TOOL_NAME_2 (fallback)
- Process data and add to report
- Continue with available data
Decision Logic
- Successful query: Process and display top 10-15 results
- Empty results: Note "[Database] returned no results"
- API error: Fall back to TOOL_NAME_2
- Both fail: Document unavailability and continue
Phase 2: [Phase Name]
When: [Conditions]
Objective: [Goal]
Tools Used
[Similar structure to Phase 1]
Workflow
[Step-by-step process]
Decision Logic
[How to handle different scenarios]
Phase 3: [Phase Name]
[Similar structure]
What ships with it
3 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.
- 1mo ago First seen · 257 lines · 0 tokens per session scan A 73c46772da96
tooluniverse-[domain-name] is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,739 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,624 tokens. 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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