What is drug-discovery-search?

A natural-language search tool for drug-discovery information from sources such as ChEMBL, DrugBank, FDA drug labels, and Open Targets.

Use it to find drug compounds, biological targets, approved-label information, molecular structures, and related research data.

It brings compound, drug, target, and label information into one search instead of requiring separate database queries.

drug-discovery-search — Skill for Claude Code and Codex by beita6969

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 beita6969/ScienceClaw --skill drug-discovery-search

Clone the repo

git clone --depth 1 https://github.com/beita6969/ScienceClaw

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/beita6969/scienceclaw/drug-discovery-search/github.svg)](https://agentmods.dev/skills/beita6969/scienceclaw/drug-discovery-search)

Your own site

<a href="https://agentmods.dev/skills/beita6969/scienceclaw/drug-discovery-search"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/drug-discovery-search/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/beita6969/scienceclaw/drug-discovery-search"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/drug-discovery-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,381 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. 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: 2 findings, up to high

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 →

high Agent Snooping · line 40
Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.

Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
medium Data Exfiltration · line 157
Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.01381
Opus 5	$0.00016	$0.00691
Sonnet 5	$0.00007	$0.00276
Haiku 4.5	$0.00003	$0.00138

Measured 9d ago against content hash bc6b24613026, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

drug-discovery-search scanned grade B 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/search.mjs), 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

DRUG_DISCOVERY_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drug-discovery-search/*/scripts/*" -type f 2>/dev/null | head -1)

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

drug-discovery-search — 100% identical, 0 lines differ
drug-discovery-search — 100% identical, 0 lines differ
drug-discovery-search — 100% identical, 0 lines differ

skills/drug-discovery-search/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Drug Discovery Search

Search across all major drug discovery databases (ChEMBL, DrugBank, FDA drug labels, Open Targets) simultaneously using natural language queries powered by Valyu's semantic search API.

Why This Skill is Powerful

No API Parameter Parsing: Just pass natural language queries directly - no need to construct complex search parameters
Semantic Search: Understands the meaning of your query, not just keyword matching
Full-Text Access: Returns complete compound, target, and drug information
Image Links: Includes molecular structures and data visualizations
Comprehensive Coverage: Search across ChEMBL, DrugBank, drug labels, and Open Targets simultaneously
Unified Results: Get results from all drug discovery sources in a single query

Requirements

Node.js 18+ (uses built-in fetch)
Valyu API key from https://platform.valyu.ai ($10 free credits)

CRITICAL: Script Path Resolution

The scripts/search commands in this documentation are relative to this skill's installation directory.

Before running any command, locate the script using:

DRUG_DISCOVERY_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drug-discovery-search/*/scripts/*" -type f 2>/dev/null | head -1)

Then use the full path for all commands:

$DRUG_DISCOVERY_SCRIPT "JAK2 inhibitors" 20

API Key Setup Flow

When you run a search and receive "setup_required": true, follow this flow:

Ask the user for their API key: "To search drug discovery databases, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"
Once the user provides the key, run:
```
scripts/search setup <api-key>
```
Retry the original search.

When to Use This Skill

End-to-end drug discovery information
Target validation through compounds and trials
Complete drug development information
Compound optimization with target data
Safety and efficacy research

Read the full file on GitHub · 215 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.

9d ago First seen · 215 lines · 33 tokens per session scan B bc6b24613026

Subscribe to this mod's changes

drug-discovery-search is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,381 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

LLM Research Scientific ai ai-agent bioinformatics compound-screening comprehensive-search drug-development drug-discovery literature-review mcp semantic-search target-validation