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-pharmacogenomicsgit 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-pharmacogenomics)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-pharmacogenomics"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-pharmacogenomics/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-pharmacogenomics"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-pharmacogenomics.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 | $0.00080 | $0.05371 |
| Opus 5 | $0.00040 | $0.02686 |
| Sonnet 5 | $0.00016 | $0.01074 |
| Haiku 4.5 | $0.00008 | $0.00537 |
Grade A, and why
tooluniverse-pharmacogenomics 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 8d 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
COMPUTE, DON'T DESCRIBE
When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.
Pharmacogenomics (PGx) Research Skill
Systematic PGx analysis: resolve gene-drug pairs, retrieve CPIC dosing guidelines, annotate alleles and variants with PharmGKB, check FDA PGx biomarker labeling, and generate evidence-graded clinical recommendations.
When to Use
- "What CPIC guidelines exist for CYP2D6?"
- "Get dosing recommendations for codeine based on CYP2D6 poor metabolizer status"
- "Which drugs have FDA pharmacogenomic biomarkers for CYP2C19?"
- "Find PharmGKB clinical annotations for rs1799853"
- "Is this patient's CYP2D6 genotype relevant to tamoxifen dosing?"
- "What is the functional status of CYP2D6*4?"
- "List all CPIC level A gene-drug pairs for CYP2D6"
Workflow Overview
Input (gene/drug/variant/phenotype)
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v
Phase 0: Disambiguation (resolve gene symbols, drug names, rsIDs)
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v
Phase 1: Gene-Drug Pair Identification (CPIC pairs + evidence levels)
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v
Phase 2: Guideline & Dosing Retrieval (CPIC recommendations + PharmGKB)
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v
Phase 3: Allele & Variant Annotation (star alleles, function, activity scores)
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v
Phase 4: FDA Biomarker Labeling (regulatory PGx status)
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v
Phase 5: Cross-Database Enrichment (EpiGraphDB, DGIdb, OpenTargets PGx)
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v
Phase 6: Report (evidence-graded clinical summary)
Phase 0: Disambiguation
Resolve user input to canonical identifiers before querying PGx databases.
PharmGKB_search_genes: query (string REQUIRED, e.g., "CYP2D6"). Returns {status, data: [{id, symbol, name}]}.
- Use to get PharmGKB gene accession ID (e.g., "PA128" for CYP2D6).
PharmGKB_search_drugs: query (string REQUIRED, e.g., "codeine"). Returns {status, data: [{id, name, types}]}.
- Use to get PharmGKB chemical ID (e.g., "PA449088" for codeine).
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.
- 8d ago First seen · 275 lines · 80 tokens per session scan A fa25cae06e0d
tooluniverse-pharmacogenomics is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,680 stars, last pushed 3d ago), licensed Apache-2.0. It adds 80 tokens to every session and 5,371 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 2026-09-03.
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