agentmods.dev

database-lookup

A lookup tool for 78 public scientific, medical, materials, and economic databases, accessed through their web APIs. It selects relevant databases and returns their raw results with the endpoints used.

In plain words
What is it for?
Use it to look up compounds, genes, pathways, patents, expression data, physical measurements, environmental records, materials, astronomy data, or economic indicators.
Why use it?
It removes the need to know which database contains a particular kind of information or how each database's API works. It can search across multiple sources when one database may not be enough.

Skill for Claude CodeCodex

10 7d ago B scan 242 tokens copy · 100% MIT
View the source file magic3007/dotfiles
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.

agentmods
npx agentmods add skills/magic3007/dotfiles/database-lookup
Any agent
npx skills add magic3007/dotfiles --skill database-lookup
Clone the repo
git clone --depth 1 https://github.com/magic3007/dotfiles

Made for: Claude Code, Codex.

Per session 242 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,474 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00242 $0.07474
Opus 5 $0.00121 $0.03737
Sonnet 5 $0.00048 $0.01495
Haiku 4.5 $0.00024 $0.00747

Measured 2d ago against content hash db7d1c975dc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

database-lookup scanned grade B with 2 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 2d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

| Open Targets | GraphQL endpoint | `curl -X POST -H "Content-Type: application/json" -d '{"query":"..."}' https://api.platform.opentargets.org/api/v4/graphql` |

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

These databases require HTTP POST and **will not work with WebFetch** (GET-only). Use `curl` via your platform's shell tool instead:
Origin

This is a copy

100% identical to database-lookup — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

claude/skills/scientific-agent-skills/skills/database-lookup/SKILL.md · 482 lines

How it starts

The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Database Lookup

You have access to 78 public databases through their REST APIs. Your job is to figure out which database(s) are relevant to the user's question, query them, and return the raw JSON results along with which databases you used.

Core Workflow

  1. Understand the query — What is the user looking for? A compound? A gene? A pathway? A patent? Expression data? An economic indicator? This determines which database(s) to hit.

  2. Select database(s) — Use the database selection guide below. When in doubt, search multiple databases — it's better to cast a wide net than to miss relevant data.

  3. Read the reference file — Each database has a reference file in references/ with endpoint details, query formats, and example calls. Read the relevant file(s) before making API calls.

  4. Make the API call(s) — See the Making API Calls section below for which HTTP fetch tool to use on your platform.

  5. Return results — Always return:

    • The raw JSON response from each database
    • A list of databases queried with the specific endpoints used
    • If a query returned no results, say so explicitly rather than omitting it

Database Selection Guide

Match the user's intent to the right database(s). Many queries benefit from hitting multiple databases.

Physics & Astronomy

User is asking about... Primary database(s) Also consider
Near-Earth objects, asteroids NASA (NeoWs) —
Mars rover images NASA (Mars Rover Photos) —
Exoplanets, orbital parameters NASA Exoplanet Archive —
Astronomical objects by name/coordinates SIMBAD SDSS
Galaxy/star spectra, photometry SDSS SIMBAD
Physical constants NIST —
Atomic spectra, spectral lines NIST (ASD) —

Earth & Environmental Sciences

User is asking about... Primary database(s) Also consider
Earthquakes, seismic events USGS Earthquakes —
Water data, streamflow, groundwater USGS Water Services —
Weather (current, forecast, historical) OpenWeatherMap NOAA
Climate data, historical weather stations NOAA (CDO) —
Air quality, toxic releases EPA (Envirofacts) —

Read the full file on GitHub · 482 lines

Files

What ships with it

60 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. 2d ago First seen · 482 lines · 242 tokens per session scan B db7d1c975dc3

Subscribe to this mod's changes

database-lookup is a skill published in the GitHub repository magic3007/dotfiles (10 stars, last pushed 7d ago), licensed MIT. It adds 242 tokens to every session and 7,474 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). It is 100% identical to database-lookup, differing in 3 lines, and is treated as a copy.

ResearchScientificdotfilesgit-configneovimrangertmuxzsh
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