unibind-database

unibind-database is a skill for Claude Code, Codex from google-deepmind/science-skills. It costs 77 tokens per session (1,419 once invoked), scanned A, original, Apache-2.0.

A connection to UniBind, a database of experimentally measured transcription-factor binding sites. Transcription factors are proteins that attach to DNA and influence gene activity.

In plain words
What is it for?
Use it to list datasets by species, cell line, or transcription factor, retrieve direct TF–DNA interaction data, and download binding-site coordinates in BED or FASTA files.
Why use it?
It avoids manually collecting binding-site datasets and combining experimental peaks with transcription-factor profiles.

Skill for Claude CodeCodex

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

Good fit Use it to list datasets by species, cell line, or transcription factor, retrieve direct TF–DNA interaction data, and download binding-site coordinates in BED or FASTA files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/google-deepmind/science-skills/unibind_database
About the project

Science Skills is a collection of add-ons that give AI agents structured instructions, scripts, and references for scientific research, including genomics, structural biology, cheminformatics, and literature search. Researchers use it to guide agents through specialized scientific tasks with information from databases and tools such as AlphaGenome, AFDB, and UniProt. The catalogue entries are individual skills from this collection.

google-deepmind/science-skills · 2,849 stars · on GitHub · antigravity.google

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 google-deepmind/science-skills --skill unibind_database
Clone the repo
git clone --depth 1 https://github.com/google-deepmind/science-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 unibind-database

README.md
[![agentmods](https://agentmods.dev/badge/skills/google-deepmind/science-skills/unibind_database.svg)](https://agentmods.dev/skills/google-deepmind/science-skills/unibind_database)
Your own site
<a href="https://agentmods.dev/skills/google-deepmind/science-skills/unibind_database"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/unibind_database.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,419 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 79
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
  • medium MCP Rug Pull · line 83
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
  • medium MCP Rug Pull · line 84
    uvx/uv tool run commands without ==version create a rug-pull risk.
    Fix: Pin the version: uvx package-name==1.2.3
How audits are shown
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 $0.00077 $0.01419
Opus 5 $0.00039 $0.00709
Sonnet 5 $0.00015 $0.00284
Haiku 4.5 $0.00008 $0.00142

Measured 8d ago against content hash 779f16722e93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

unibind-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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/unibind_api.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/unibind_database/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UniBind Database Skill

UniBind is a database of direct TF–DNA interactions across 9 species, integrating ChIP-seq peaks with JASPAR TF binding profiles via the DAMO framework.

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/unibind_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://unibind.uio.no/ and https://unibind.uio.no/api/overview, then (2) create the file recording the notification text and timestamp.

Quick Start

Query commands print JSON to stdout by default. Most outputs are small enough to read directly. For large outputs (list_cell_lines, list_tfs), pipe through jq to extract only the fields you need.

uv run <SKILL DIR>/scripts/unibind_api.py list_species

The download_tfbs command writes BED/FASTA files to --output-dir instead. You may optionally use --output <path> on any query command to save results to a file if needed.

Core Rules

  • Use the Wrapper: ALWAYS execute the provided helper scripts to query the database rather than accessing the database directly. The scripts automatically enforce the required rate limit gracefully.
  • Output: Query commands print JSON to stdout. Most responses are compact and can be read directly.
  • Large Results: list_cell_lines and list_tfs produce large output. Pipe these through jq to extract specific fields rather than reading the full output into context.
  • Saving to File: Use --output <path> when you need to reference the data later or when processing very large results with jq.
  • Pagination: Use --page and --page-size (max 1000) to chunk large result sets.
  • Ordering: Use --order field_name (prefix with - for descending) on any list command.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Read the full file on GitHub · 141 lines

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. 8d ago First seen · 141 lines · 77 tokens per session scan A 779f16722e93

Subscribe to this mod's changes

unibind-database is a skill published in the GitHub repository google-deepmind/science-skills (2,849 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,419 once invoked, about $0.0004 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 2026-08-30.

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