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 setup-expert-feedback-remote-toolgit 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/setup-expert-feedback-remote-tool)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/setup-expert-feedback-remote-tool"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/setup-expert-feedback-remote-tool/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/setup-expert-feedback-remote-tool"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/setup-expert-feedback-remote-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 2 findings, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low MCP Rug Pull · line 35 pip install without ==version installs the latest release, which could include malicious changes.Fix: Pin the version: pip install package==1.2.3
- low MCP Rug Pull · line 119 pip install without ==version installs the latest release, which could include malicious changes.Fix: Pin the version: pip install package==1.2.3
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 | $0.00042 | $0.02264 |
| Opus 5.5 | $0.00017 | $0.00906 |
| Sonnet 5.5 | $0.00008 | $0.00453 |
| Haiku 4.5 | $0.00004 | $0.00226 |
Grade A, and why
setup-expert-feedback-remote-tool scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> curl -fsSL -o ~/.tooluniverse/envs/expert-feedback-tooluniverse.txt https://connect.aiscientist.tools/install-requirements.txt How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set up Human expert feedback as a remote tool
Sharing this model for a user, not developing it? Follow the
tooluniverse-share-computerguide; no ToolUniverse source checkout is needed. The model runs in its own Python environment, with its dependencies:~/.local/bin/uv venv --python 3.12 ~/.tooluniverse/envs/expert-feedback curl -fsSL -o ~/.tooluniverse/envs/expert-feedback-tooluniverse.txt https://connect.aiscientist.tools/install-requirements.txt ~/.local/bin/uv pip install --python ~/.tooluniverse/envs/expert-feedback/bin/python -r ~/.tooluniverse/envs/expert-feedback-tooluniverse.txt # then this model's own dependencies, as in "Create an isolated environment" below ~/.local/bin/tu remote check expert-feedback --python ~/.tooluniverse/envs/expert-feedback/bin/python # lists anything still missing ~/.local/bin/tu serve --allow expert-feedback --python ~/.tooluniverse/envs/expert-feedback/bin/python --share --detach --name "<computer name>" --service https://tooluniverse-backend.onrender.comIf the check reports a missing environment variable (a data folder, a model cache, a provider key), set it in the same shell before
tu serve; "Obtain credentials, data, and model weights" below says what each one is. The model reads only the variables it declares.The rest of this guide is for developers working from the ToolUniverse source, and for diagnosing problems with this model.
Validation status (2026-08-16): a clean Python 3.12.3 dependency install, loopback discovery of all five MCP tools, a complete two-client synthetic request/response lifecycle, and the Flask companion health endpoint passed. Public publication, independent-identity authorization, production WSGI deployment, retention/consent procedures, concurrency, and resource measurements remain incomplete; keep this deployment private until they pass. Authenticated private Platform import and owner testing passed on 2026-08-16; public publication and independent-caller authorization/isolation remain untested.
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.
- 6d ago Changed · +15 lines 94f7ec1d65af
- 1mo ago First seen · 176 lines · 42 tokens per session scan A a381dbfb459a
setup-expert-feedback-remote-tool is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,739 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 2,264 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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