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-mechanism-researchgit 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-mechanism-research)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-drug-mechanism-research"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-drug-mechanism-research/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-mechanism-research"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-drug-mechanism-research.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 | $0.03075 |
| Opus 5 | $0.00039 | $0.01537 |
| Sonnet 5 | $0.00015 | $0.00615 |
| Haiku 4.5 | $0.00008 | $0.00308 |
Grade A, and why
tooluniverse-drug-mechanism-research 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 — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drug Mechanism of Action Investigation
Investigation Philosophy
Drug mechanism research follows one core question chain:
Target -> Downstream Effect -> Pathway -> Organ Effect -> Clinical Outcome
Start with the drug's primary target. What receptor, enzyme, or transporter does it bind? Then trace forward: what does inhibiting/activating that target do immediately? What pathway is disrupted? What organ-level change results? What does the patient experience?
The LLM already knows drug pharmacology. This skill teaches HOW TO INVESTIGATE using available tools, not what mechanisms exist.
When to Use
- "What is the mechanism of action of [drug]?"
- "What are the molecular targets of [drug]?"
- "Which pathways are affected by [drug]?"
- "What pharmacogenomic interactions exist for [drug]?"
- "What are the off-targets of [drug]?"
- "Compare mechanisms of [drug A] vs [drug B]"
NOT for (use other skills)
- Drug safety/adverse events profiling ->
tooluniverse-adverse-event-detection - Drug repurposing/new indications ->
tooluniverse-drug-repurposing - Target druggability assessment ->
tooluniverse-drug-target-validation - Network pharmacology/polypharmacology ->
tooluniverse-network-pharmacology - CPIC dosing guidelines specifically ->
tooluniverse-pharmacogenomics
Step 1: Resolve the Drug
Before investigating mechanism, resolve the drug name to a canonical identifier. You need a ChEMBL ID for most downstream queries.
# Resolve drug name to ChEMBL ID
result = tu.tools.OpenTargets_get_drug_id_description_by_name(drugName="metformin")
# Alternative: OpenTargets_get_drug_chembId_by_generic_name(drugName="metformin")
# Get PharmGKB ID (needed for PGx queries)
result = tu.tools.PharmGKB_search_drugs(query="metformin")
Fallback: If OpenTargets returns no hits, try PharmGKB_search_drugs or ChEMBL_get_drug with a known ChEMBL ID.
Step 2: Identify the Primary Target
The first question: what does this drug bind to, and what does it do to that target?
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 · 289 lines · 77 tokens per session scan A 50887f02f1fa
tooluniverse-drug-mechanism-research 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 3,075 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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