bio-entrez-search

bio-entrez-search is a skill for Claude Code, Codex from thesecondfox/skill. It costs 43 tokens per session (2,569 once invoked), scanned A, original, MIT.

A search tool for NCBI biological databases, using Biopython, a Python library for working with biological data. NCBI is a public collection of biomedical and genetic records.

In plain words
What is it for?
Use it to search by keywords, organisms, or fields, build complex queries, inspect database structure, and count matches across NCBI databases.
Why use it?
It helps turn biological questions into database searches and retrieve matching record IDs or result counts without manually navigating each database.

Skill for Claude CodeCodex

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

Good fit Use it to search by keywords, organisms, or fields, build complex queries…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thesecondfox/skill/bio-database-access-entrez-search
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 thesecondfox/skill --skill bio-database-access-entrez-search
Clone the repo
git clone --depth 1 https://github.com/thesecondfox/skill

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-entrez-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/thesecondfox/skill/bio-database-access-entrez-search.svg)](https://agentmods.dev/skills/thesecondfox/skill/bio-database-access-entrez-search)
Your own site
<a href="https://agentmods.dev/skills/thesecondfox/skill/bio-database-access-entrez-search"><img src="https://agentmods.dev/badge/skills/thesecondfox/skill/bio-database-access-entrez-search.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,569 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 $0.00043 $0.02569
Opus 5 $0.00022 $0.01285
Sonnet 5 $0.00009 $0.00514
Haiku 4.5 $0.00004 $0.00257

Measured 6d ago against content hash 0ad3f8d8369f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

bio-entrez-search 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 6d 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.

Common_Skills/bio-database-access-entrez-search/SKILL.md · 314 lines

How it starts

The opening of the file, as written. The whole thing — 314 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+, Entrez Direct 21.0+

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

  • Python: pip show <package> then help(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.

Search NCBI databases using Biopython's Entrez module (ESearch, EInfo, EGQuery utilities).

"Search NCBI for records" → Query any NCBI database by keyword, organism, or field-qualified terms and retrieve matching record IDs.

  • Python: Entrez.esearch(db=..., term=...) (BioPython)
  • CLI: esearch -db nucleotide -query "term" (Entrez Direct)

Required Setup

from Bio import Entrez

Entrez.email = '[email protected]'  # Required by NCBI
Entrez.api_key = 'your_api_key'          # Optional, raises rate limit 3->10 req/sec

Core Functions

Entrez.esearch() - Search a Database

Search any NCBI database and get matching record IDs.

handle = Entrez.esearch(db='nucleotide', term='human[orgn] AND BRCA1[gene]')
record = Entrez.read(handle)
handle.close()

print(f"Found {record['Count']} records")
print(f"IDs: {record['IdList']}")  # First 20 IDs by default

Key Parameters:

Parameter Description Default
db Database to search Required
term Search query Required
retmax Max IDs to return 20
retstart Starting index (pagination) 0
usehistory Store results on server 'n'
sort Sort order database-specific
datetype Date field to search 'pdat'
reldate Records from last N days None
mindate Start date (YYYY/MM/DD) None
maxdate End date (YYYY/MM/DD) None

ESearch Result Fields:

record['Count']        # Total matching records (string)
record['IdList']       # List of record IDs
record['RetMax']       # Number of IDs returned
record['RetStart']     # Starting index
record['QueryKey']     # For history server (if usehistory='y')
record['WebEnv']       # For history server (if usehistory='y')
record['TranslationSet']  # Query translations applied
record['QueryTranslation']  # Final translated query

Read the full file on GitHub · 314 lines

Files

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.

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. 6d ago First seen · 314 lines · 43 tokens per session scan A 0ad3f8d8369f

Subscribe to this mod's changes

bio-entrez-search is a skill published in the GitHub repository thesecondfox/skill (3 stars, last pushed 5mo ago), licensed MIT. It adds 43 tokens to every session and 2,569 once invoked, about $0.0002 per session on Opus 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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