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-sequence-retrievalgit 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-sequence-retrieval)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-sequence-retrieval"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-sequence-retrieval/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-sequence-retrieval"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-sequence-retrieval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00083 | $0.04696 |
| Opus 5.5 | $0.00033 | $0.01878 |
| Sonnet 5.5 | $0.00017 | $0.00939 |
| Haiku 4.5 | $0.00008 | $0.00470 |
Grade A, and why
tooluniverse-sequence-retrieval 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Biological Sequence Retrieval
Retrieve DNA, RNA, and protein sequences with proper disambiguation and cross-database handling.
IMPORTANT: Always use English terms in tool calls. Only try original-language terms as fallback. Respond in the user's language.
LOOK UP DON'T GUESS: Never assume accession numbers or sequence versions. Always retrieve and verify from NCBI or ENA.
Domain Reasoning
Sequence quality hierarchy: RefSeq (NM_/NP_ = curated) > RefSeq predicted (XM_/XP_) > GenBank (submitted). Prefer the MANE Select transcript for human canonical isoforms. Check version numbers -- annotations improve across versions.
Workflow
Phase 0: Clarify (if needed) → Phase 1: Disambiguate Gene/Organism → Phase 2: Search & Retrieve → Phase 3: Report
Phase 0: Clarification (When Needed)
Ask ONLY if: gene exists in multiple organisms, sequence type unclear, or strain matters. Skip for: specific accessions, clear organism+gene combos, complete genome requests with organism.
Phase 1: Gene/Organism Disambiguation
Accession Type Decision Tree
| Prefix | Type | Use With |
|---|---|---|
| NC_/NM_/NR_/NP_/XM_ | RefSeq | NCBI only |
| U*/M*/K*/X*/CP*/NZ_ | GenBank | NCBI or ENA |
| EMBL format | EMBL | ENA preferred |
CRITICAL: Never try ENA tools with RefSeq accessions -- they return 404.
Identity Checklist
- Organism confirmed (scientific name)
- Gene symbol/name identified
- Sequence type determined (genomic/mRNA/protein)
- Accession prefix identified for tool selection
Phase 2: Data Retrieval (Internal)
Retrieve silently. Do NOT narrate the search process.
# Search NCBI Nucleotide
result = tu.tools.NCBI_search_nucleotide(
operation="search", organism=organism, gene=gene,
strain=strain, keywords=keywords, seq_type=seq_type, limit=10
)
# Get accessions from UIDs
accessions = tu.tools.NCBI_fetch_accessions(operation="fetch_accession", uids=result["data"]["uids"])
# Retrieve sequence (FASTA or GenBank format)
sequence = tu.tools.NCBI_get_sequence(operation="fetch_sequence", accession=accession, format="fasta")
# ENA alternative (non-RefSeq accessions only)
entry = tu.tools.ena_get_entry(accession=accession)
fasta = tu.tools.ena_get_sequence_fasta(accession=accession)
What ships with it
2 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.
- 10d ago Changed · +156 lines bfb293a610ae
- 1mo ago First seen · 150 lines · 83 tokens per session scan A f726bf3301b7
tooluniverse-sequence-retrieval is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,744 stars, last pushed yesterday), licensed Apache-2.0. It adds 83 tokens to every session and 4,696 once invoked, about $0.0003 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 2026-09-03.
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