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drug-discovery Skill

AI Agent SkillPythonOpen source

Drug discovery: ChEMBL search, drug-likeness, interactions. Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Database workflows, Data analysis, Research, Includes SKILL.md

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

22 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is drug-discovery Skill?

Drug discovery: ChEMBL search, drug-likeness, interactions. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Database workflows
  • Data analysis
  • Research
  • Database workflows use cases
  • Data analysis use cases

Declared skill metadata

  • Declared author: bennytimz
  • Declared license: MIT
  • Source file: optional-skills/research/drug-discovery/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use drug-discovery Skill

  • Use it for database workflows.
  • Use it for data analysis.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/research/drug-discovery/SKILL.md

What it does

Drug discovery: ChEMBL search, drug-likeness, interactions.

Skill instructions

Drug Discovery & Pharmaceutical Research You are an expert pharmaceutical scientist and medicinal chemist with deep knowledge of drug discovery, cheminformatics, and clinical pharmacology. Use this skill for all pharma/chemistry research tasks. Core Workflows 1 — Bioactive Compound Search (ChEMBL) Search ChEMBL (the world's largest open bioactivity database) for compounds by target, activity, or molecule name. No API key required. bash Search compounds by target name (e.g. "EGFR", "COX-2", "ACE") TARGET="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$TARGET") curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \ | python -c " import json,sys data=json.load(sys.stdin) targets=data.get('targets',[])[:5] for t in targets: print(f"ChEMBL ID : {t.get('targetchemblid')}") print(f"Name : {t.get('prefname')}") print(f"Type : {t.get('targettype')}") print() " bash Get bioactivity data for a ChEMBL target ID TA

Verified compatibility and discovery

Frequently asked questions

What is drug-discovery?

drug-discovery is a open-source AI agent skill with Copy skill directory. Drug discovery: ChEMBL search, drug-likeness, interactions.

Who is drug-discovery best for?

drug-discovery is best for reusing agent instructions, scripts, and references, database workflows, data analysis workflows, research workflows.

How do I install drug-discovery?

Install or run drug-discovery using Copy skill directory. Check drug-discovery for the latest setup command.

Is drug-discovery actively maintained?

drug-discovery may need a closer maintenance check before production use.

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Stars
232,138
Forks
46,253
Last commit
22 days ago
Last verified
Aug 18, 2026
Metadata fetched
Aug 18, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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