string-database

string-database is a skill for Claude Code, Codex from meringlab/string-mcp. It costs 60 tokens per session (1,455 once invoked), scanned A, original, MIT.

A set of rules for answering protein-interaction and related biology questions with the STRING database. STRING is a database of known and predicted relationships between proteins.

In plain words
What is it for?
Use it for protein interaction networks, evidence, enrichment, annotations, homologs, sequence searches, species lookup, and related STRING queries.
Why use it?
It keeps answers tied to database results instead of guessed interactions, functions, pathways, species, or links.

Skill for Claude CodeCodex

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

Good fit Use it for protein interaction networks, evidence, enrichment, annotations, homologs, sequence searches, species lookup, and related STRING queries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/meringlab/string-mcp/string-database
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 meringlab/string-mcp --skill string-database
Clone the repo
git clone --depth 1 https://github.com/meringlab/string-mcp

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 string-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/meringlab/string-mcp/string-database/github.svg)](https://agentmods.dev/skills/meringlab/string-mcp/string-database)
Your own site
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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 string-database

Your own site · 80×15
<a href="https://agentmods.dev/skills/meringlab/string-mcp/string-database"><img src="https://agentmods.dev/badge/skills/meringlab/string-mcp/string-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00060 $0.01455
Opus 5.5 $0.00024 $0.00582
Sonnet 5.5 $0.00012 $0.00291
Haiku 4.5 $0.00006 $0.00145

Measured 24d ago against content hash a9e5edf0428f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

string-database 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 24d 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.

skills/string-database/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

STRING Database

Use the STRING MCP tools as the source of truth for protein interaction, network, enrichment, annotation, evidence, species, and homolog questions.

Grounding Rules

  • Use STRING tool output for factual claims about interactions, functions, pathways, enrichment, annotations, homologs, and species availability.
  • If no species is provided, use human, NCBI taxon ID 9606.
  • Do not guess, assemble, or derive STRING links or image URLs. Only show exact links and image URLs returned by tools.
  • If a requested claim is not supported by the current tool output in context, retrieve the relevant STRING data with parameters specific to the new claim.
  • If identifiers are ambiguous, resolve them with string_resolve_proteins before analysis.
  • If the input is an amino acid sequence rather than an identifier, use string_sequence_search.
  • If a species name or taxon is uncertain, use string_query_species.
  • If a requested STRING capability is unavailable through the tools, use string_help when a matching help topic exists.
  • Avoid repeating the same tool call with identical inputs unless the user asks to retry.

Tool Selection

Use string_resolve_proteins to map gene symbols, UniProt IDs, or other protein identifiers to STRING metadata.

Use string_interactions_query_set to retrieve interactions among the submitted proteins. Functional queries use the integrated typed network flavor by default, which can include physical and directed regulatory attributes when STRING reports them. Verify a physical relationship from a positive physical.association_confidence and a directed regulatory relationship from a nonempty regulatory.directions list; do not infer either from a typed network image alone. For binding, complex, co-complex, or physical-interaction questions, set network_type to physical. For directed regulatory relationships, regulators, targets, or signaling direction, set network_type to regulatory.

Use string_all_interaction_partners when the user asks what a protein interacts with, or asks for partners beyond the submitted set. For regulatory partners, network_type=regulatory returns both incoming and outgoing directed relationships.

Read the full file on GitHub · 79 lines

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. 24d ago Changed a9e5edf0428f
  2. 25d ago Changed · +2 lines 9dcdb68da5c5
  3. 1mo ago First seen · 77 lines · 60 tokens per session scan A 432fb31f95fb

Subscribe to this mod's changes

string-database is a skill published in the GitHub repository meringlab/string-mcp (7 stars, last pushed 23d ago), licensed MIT. It adds 60 tokens to every session and 1,455 once invoked, about $0.0002 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 2026-08-31.

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