database-access

database-access is a skill for Claude Code, Codex from BioTender-max/awesome-bio-agent-skills. It costs 21 tokens per session (883 once invoked), scanned A, original, no licence file.

A workflow for finding and retrieving public biological datasets, DNA or protein sequences, annotations, and research-linked resources.

In plain words
What is it for?
Use it to collect public omics datasets, sequences, genome annotations, and biological resources linked to published research.
Why use it?
It reduces the effort needed to locate relevant omics data and connect datasets with supporting literature.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to collect public omics datasets, sequences, genome annotations, and biological resources linked to published research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/biotender-max/awesome-bio-agent-skills/database-access
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 BioTender-max/awesome-bio-agent-skills --skill database-access
Clone the repo
git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills

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 database-access

README.md
[![agentmods](https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/database-access/github.svg)](https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/database-access)
Your own site
<a href="https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/database-access"><img src="https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/database-access/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 database-access

Your own site · 80×15
<a href="https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/database-access"><img src="https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/database-access.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 883 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 unknown 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 $0.00021 $0.00883
Opus 5 $0.00010 $0.00441
Sonnet 5 $0.00004 $0.00177
Haiku 4.5 $0.00002 $0.00088

Measured 9d ago against content hash 5c43ce07a9b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

database-access 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 9d 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.

resp = requests.get("https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi", params={
skills/bioclaw_hub/database-access/SKILL.md · 144 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 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. 9d ago First seen · 144 lines · 21 tokens per session scan A 5c43ce07a9b4

Subscribe to this mod's changes

database-access is a skill published in the GitHub repository BioTender-max/awesome-bio-agent-skills (178 stars, last pushed 2mo ago), with no licence file. It adds 21 tokens to every session and 883 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

paper-writer

Drafts publishable paper prose from the author's own materials, from a single paragraph to a full manuscript, across STEM and non-STEM fields. Every factual claim traces to user input, verified retrieval, or field common knowledge; citations pass an independent verification ladder; delivery is clean prose with zero…

HKUSTDial/Supervisor-Skills · 90 tokens

pre-submission-reviewer

Runs a pre-submission review of a technical paper across five dimensions: macro logic, writing details, English grammar, LaTeX formatting, and figure quality. Uses a reviewer-style severity taxonomy (CRITICAL / MAJOR / MINOR) and flags banned AI-tone vocabulary and em-dash misuse. Use when the user asks to 'review…

HKUSTDial/Supervisor-Skills · 104 tokens

bio-clinical-biostatistics-adaptive-designs

Designs adaptive clinical trials including group-sequential (O'Brien-Fleming, Pocock, Lan-DeMets spending), sample-size re-estimation (blinded Friede-Kieser, unblinded Cui-Hung-Wang, Mehta-Pocock promising zone), seamless Phase 2/3 with treatment-arm selection, population enrichment, and response-adaptive…

FridrichMethod/awesome-skills · 147 tokens

bio-epidemiological-genomics-amr-surveillance

Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization…

FridrichMethod/awesome-skills · 234 tokens

bio-clinical-biostatistics-bayesian-trials

Designs Bayesian clinical trials including Phase I dose-finding (BOIN, CRM, EWOC, mTPI-2), meta-analytic-predictive (MAP) priors with robust mixtures for external data borrowing, EXNEX for basket trials, hierarchical models for safety AE (Berry-Berry), Bayesian platform trials (I-SPY 2, GBM AGILE, REMAP-CAP), and…

FridrichMethod/awesome-skills · 164 tokens

bio-admet-prediction

Predicts ADMET properties using ADMETlab 3.0 (119 platform features, including 77 prediction models with modeled-endpoint uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES endpoints, and PAINS /…

FridrichMethod/awesome-skills · 123 tokens