bio-interaction-databases

bio-interaction-databases is a skill for Claude Code, Codex from GPTomics/bioSkills. It costs 120 tokens per session (5,452 once invoked), scanned A, original, MIT.

A collection of interfaces for querying protein and gene interaction databases, which record relationships such as physical binding, shared function, and cell-signaling effects.

In plain words
What is it for?
Use it to build interaction networks, compare curated and high-throughput evidence, or examine physical, functional, genetic, signed, and directed interactions.
Why use it?
It helps you choose interaction evidence that matches the biological question instead of combining incompatible network types.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build interaction networks, compare curated and high-throughput evidence, or examine physical, functional, genetic, signed, and directed interactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gptomics/bioskills/interaction-databases
Install

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.

Any agent
npx skills add GPTomics/bioSkills --skill interaction-databases
Clone the repo
git clone --depth 1 https://github.com/GPTomics/bioSkills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for bio-interaction-databases

README.md
[![agentmods](https://agentmods.dev/badge/skills/gptomics/bioskills/interaction-databases/github.svg)](https://agentmods.dev/skills/gptomics/bioskills/interaction-databases)
Your own site
<a href="https://agentmods.dev/skills/gptomics/bioskills/interaction-databases"><img src="https://agentmods.dev/badge/skills/gptomics/bioskills/interaction-databases/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.

agentmods 80×15 button for bio-interaction-databases

Your own site · 80×15
<a href="https://agentmods.dev/skills/gptomics/bioskills/interaction-databases"><img src="https://agentmods.dev/badge/skills/gptomics/bioskills/interaction-databases.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,452 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00120 $0.05452
Opus 5 $0.00060 $0.02726
Sonnet 5 $0.00024 $0.01090
Haiku 4.5 $0.00012 $0.00545

Measured 8d ago against content hash 0e634bb4606b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bio-interaction-databases 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 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (examples/interaction_query.py, examples/string_network.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- Python: `requests.get()` against REST endpoints; `pandas` for parsing; `networkx` for graphs
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

database-access/interaction-databases/SKILL.md · 437 lines

How it starts

The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Version Compatibility

Reference examples tested with: requests 2.31+, pandas 2.2+, networkx 3.2+; STRING v12.0, BioGRID 4.4+, IntAct (live), SIGNOR 3.0+, OmniPath (live)

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show requests pandas networkx
  • API surface: confirm endpoint URLs match each resource's current docs

STRING URL is version-pinned (version-12-0 as of 2024); older URLs (version-11-5) were deprecated 2023. The Cytoscape/Cytoscape.js ecosystem uses different version semantics; check the docs for the targeted version.

Interaction Databases

"Get protein-protein interactions for these genes" -> The choice of database matters more than the choice of API. Different resources index different evidence (physical binding, functional association, genetic interaction, signed signaling), with different curation pipelines (manually curated vs high-throughput vs text-mined), different species coverage, and different licenses.

The decision matrix below is the postdoc-grade view: what question is being asked, and which resource answers it best?

  • Python: requests.get() against REST endpoints; pandas for parsing; networkx for graphs
  • R: STRINGdb, OmnipathR (mature Bioconductor clients)
  • Web: STRING, BioGRID, IntAct, SIGNOR, OmniPath, ConsensusPathDB browsers

Required Setup

import requests
import pandas as pd
import networkx as nx
from io import StringIO

CALLER = 'bioskills-2026'  # STRING + OmniPath accept caller_identity for usage attribution

API key requirements:

  • BioGRID: free key required (https://webservice.thebiogrid.org/)
  • STRING, IntAct, SIGNOR, OmniPath, Reactome: no key

Decision matrix: which resource for which question?

Question Best resource Why
"Build a network around 10 genes" STRING (medium confidence ~400) Comprehensive; channels combinable; good viz integration
"Only physically interacting proteins" IntAct or BioGRID physical Curated physical interactions; PSI-MI standard
"Signed/directed signaling (phospho, ubiq, etc.)" SIGNOR Only major DB with mechanism types and direction
"Functional enrichment based on co-mentioned genes" STRING functional (default) Includes textmining channel
"Genetic interactions (synthetic lethality)" BioGRID genetic Largest curated genetic interaction set
"High-throughput Y2H interactome" HuRI Reference yeast-2-hybrid map of human
"Mass-spec-derived protein complexes" HuMAP v2 or BioPlex AP-MS complex maps
"Curated pathways with interactions" Reactome Pathway-organized; gold standard for signaling
"Meta-database aggregating 100+ sources" OmniPath The modern "one-stop"; pre-aggregated
"Cross-species or non-human" STRING Species coverage broadest
"Bacterial interactome" STRING bacterial Limited curated alternatives
"Phosphorylation site-specific" PhosphoSitePlus (commercial license) or SIGNOR PSP has best PTM coverage but requires license

Read the full file on GitHub · 437 lines

Files

What ships with it

3 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.

Changes

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.

  1. 8d ago First seen · 437 lines · 120 tokens per session scan A 0e634bb4606b

Subscribe to this mod's changes

bio-interaction-databases is a skill published in the GitHub repository GPTomics/bioSkills (1,201 stars, last pushed 27d ago), licensed MIT. It adds 120 tokens to every session and 5,452 once invoked, about $0.0006 per session on Opus 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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