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-protein-structural-annotation-pdbgit 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-protein-structural-annotation-pdb)<a href="https://agentmods.dev/skills/mims-harvard/tooluniverse/tooluniverse-protein-structural-annotation-pdb"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-protein-structural-annotation-pdb/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-protein-structural-annotation-pdb"><img src="https://agentmods.dev/badge/skills/mims-harvard/tooluniverse/tooluniverse-protein-structural-annotation-pdb.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 | $0.00110 | $0.01978 |
| Opus 5.5 | $0.00044 | $0.00791 |
| Sonnet 5.5 | $0.00022 | $0.00396 |
| Haiku 4.5 | $0.00011 | $0.00198 |
Grade A, and why
tooluniverse-protein-structural-annotation-pdb 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Protein structural annotation from a PDB
For each residue of a target protein chain, classify whether it sits at a binding interface, in a ligand pocket, is buried vs solvent-exposed, and (optionally) which secondary-structure element it belongs to. This is the annotation track that anchors any DMS heatmap or per-residue interpretation to the protein's actual physical context.
When to use this skill
- Building a per-residue annotation track for a DMS heatmap
- Deciding whether a variant of interest is in an interface, in a pocket, or in the core — context that often distinguishes plausible mechanisms
- Reading SAE feature drops at a position against the protein's known biology (a feature drop at a ligand-pocket residue means something different from a drop at a surface residue)
Not for:
- Multi-conformer ensembles or NMR structure comparisons → use
tooluniverse-computational-biophysics - Whole-structure pocket detection without a known ligand → use a docking tool (e.g. SwissDock) or PDBe's pre-computed pockets
Required inputs
| Input | Format | Example |
|---|---|---|
| PDB ID | 4 characters | 6VJJ (KRAS-RAF1-GTP analogue) |
| Target chain | single character | A |
| Partner chain(s) | list of chain IDs | ["B"] |
| Ligand resnames | 3-letter PDB names | ["GNP", "MG"] |
Optional:
distance_cutoff(default 5.0 Å)core_rsa_cutoff(default 0.25)include_secondary_structure(default false; uses PDBe REST if true)pdb_contentinstead ofpdb_idfor local / predicted structures
Workflow
Step 1 (optional): Find the relevant PDB
If you only have a UniProt accession or gene symbol, pick a structure first:
# PDBe's curated UniProt→PDB mapping (recommended; ranks by coverage + resolution)
PDBeSIFTS_get_best_structures(uniprot_accession="P01116")
# Returns a ranked list of PDB IDs for KRAS with chain mapping
# Or full list (unranked)
PDBeSIFTS_get_all_structures(uniprot_accession="P01116")
# RCSB advanced search (free-text, when you don't have a UniProt yet)
RCSBAdvSearch_search_structures(query="KRAS GTP complex")
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 · 180 lines · 110 tokens per session scan A bae9628a653c
tooluniverse-protein-structural-annotation-pdb is a skill published in the GitHub repository mims-harvard/ToolUniverse (1,744 stars, last pushed yesterday), licensed Apache-2.0. It adds 110 tokens to every session and 1,978 once invoked, about $0.0004 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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