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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-string-dbgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-string-db)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-string-db"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-string-db.svg" alt="Measured on agentmods" 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 | $0.00120 | $0.01451 |
| Opus 5 | $0.00060 | $0.00726 |
| Sonnet 5 | $0.00024 | $0.00290 |
| Haiku 4.5 | $0.00012 | $0.00145 |
Grade A, and why
alterlab-string-db 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*) How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STRING Database
Overview
STRING is a comprehensive database of known and predicted protein-protein interactions covering 59M proteins and 20B+ interactions across 5000+ organisms. Query interaction networks, perform functional enrichment, and discover partners via the REST API for systems biology and pathway analysis.
When to Use This Skill
Use this skill when:
- Retrieving protein-protein interaction networks for single or multiple proteins
- Performing functional enrichment (GO, KEGG, Pfam) on protein lists
- Discovering interaction partners and expanding protein networks
- Testing if proteins form significantly enriched functional modules
- Generating network visualizations with evidence-based coloring
- Analyzing homology and protein family relationships
- Conducting cross-species protein interaction comparisons
- Identifying hub proteins and network connectivity patterns
What This Skill Provides
- Python helper functions (
scripts/string_api.py) for all STRING REST API operations. - Comprehensive reference documentation (
references/string_reference.md) with detailed endpoint and parameter specifications.
When a user requests STRING data, determine which operation is needed and use
the appropriate function from scripts/string_api.py.
Core Workflow
- Map identifiers first —
string_map_ids()converts gene/protein names to STRING IDs (format9606.ENSP00000269305); always do this for speed and accuracy. - Retrieve the network or partners —
string_network()for tabular interaction data,string_interaction_partners()to expand from seeds,string_network_image()for a PNG figure. - Test and interpret —
string_ppi_enrichment()checks whether the network has more edges than chance;string_enrichment()runs GO/KEGG/Pfam enrichment (FDR < 0.05 = significant). - Compare / extend —
string_homology()for family/paralog analysis; repeat with otherspeciesfor cross-species comparison. - Record version —
string_version()for reproducibility.
What ships with it
5 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.
- 3d ago First seen · 133 lines · 120 tokens per session scan A 169b414e8f9d
alterlab-string-db is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 3d ago), licensed MIT. It adds 120 tokens to every session and 1,451 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 2026-09-05.
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