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 thesecondfox/skill --skill bio-database-access-interaction-databasesgit clone --depth 1 https://github.com/thesecondfox/skillWrote 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/thesecondfox/skill/bio-database-access-interaction-databases)<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-database-access-interaction-databases"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-database-access-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.
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-database-access-interaction-databases"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-database-access-interaction-databases.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.02408 |
| Opus 5.5 | $0.00026 | $0.00963 |
| Sonnet 5.5 | $0.00013 | $0.00482 |
| Haiku 4.5 | $0.00006 | $0.00241 |
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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Python: `requests.get()` against STRING/BioGRID REST endpoints + `pandas` for parsing How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Version Compatibility
Reference examples tested with: BioPython 1.83+, pandas 2.2+
Before using code patterns, verify installed versions match. If versions differ:
- Python:
pip show <package>thenhelp(module.function)to check signatures
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Interaction Databases
Query protein-protein interaction (PPI) and gene interaction databases to build and analyze biological networks.
"Get protein interactions for a gene list" → Query PPI databases (STRING, BioGRID, IntAct) via REST APIs to retrieve interaction partners and confidence scores.
- Python:
requests.get()against STRING/BioGRID REST endpoints +pandasfor parsing
STRING API
Query Interactions
import requests
import pandas as pd
from io import StringIO
STRING_API = 'https://version-12-0.string-db.org/api'
def get_string_interactions(genes, species=9606, score_threshold=400):
'''Fetch PPI from STRING. species: 9606=human, 10090=mouse, 7227=fly'''
url = f'{STRING_API}/tsv/network'
params = {
'identifiers': '%0d'.join(genes),
'species': species,
'required_score': score_threshold,
'caller_identity': 'bioskills'
}
response = requests.get(url, params=params)
return pd.read_csv(StringIO(response.text), sep='\t')
genes = ['TP53', 'BRCA1', 'MDM2', 'ATM', 'CHEK2', 'CDK2']
interactions = get_string_interactions(genes, score_threshold=700)
interactions[['preferredName_A', 'preferredName_B', 'score']].head()
STRING Confidence Score Tiers
| Threshold | Tier | Guidance |
|---|---|---|
| 150 | Low | Includes transferred and text-mined; noisy |
| 400 | Medium | Default. Balanced sensitivity/specificity |
| 700 | High | Recommended for network analysis. Good confidence |
| 900 | Highest | Experimentally validated core. Very stringent |
Use 700+ for publication-quality networks. Use 400 for exploratory analysis where recall matters.
What ships with it
1 file 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.
- 1mo ago First seen · 270 lines · 65 tokens per session scan A e073d811e702
bio-interaction-databases is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 2,408 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
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