AgentD Drug Discovery is a Data skill for Claude Code, published by FreedomIntelligence in OpenClaw-Medical-Skills.
AgentD Drug Discovery mines literature and databases for known ligands, generates candidate molecules, and ranks them with SAR and ADMET annotations for early drug discovery tasks. It delivers SMILES, property scores, and reproducibility manifests for in silico hypothesis generation.
AgentD Drug Discovery is cataloged under Data on DirSkills. AgentD Drug Discovery comes from a repository tagged awesome, claude-code, clawhub, medical and nanoclaw.
Documentation
name: agentd-drug-discovery description: Use the AgentD workflow to mine evidence, design molecules, and rank candidates with SAR plus ADMET annotations for early drug discovery tasks. allowed-tools:
This is the opening of the README. Read the full README on GitHub.
AgentD Drug Discovery is one of 25 skills that DirSkills catalogs from FreedomIntelligence/OpenClaw-Medical-Skills, the repository it ships in. Its siblings there include AAV Vector Design Agent, ADHD Daily Planner and ADMET Prediction. Each one is a separate skill with its own page in this directory, installs the same way AgentD Drug Discovery does, and is maintained by FreedomIntelligence in that same repository. The rest of the collection is listed on the FreedomIntelligence/OpenClaw-Medical-Skills page.
AgentD Drug Discovery ranks #257 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AgentD Drug Discovery against them. Open each page to compare what they document and how they install.
AgentD Drug Discovery is one of 25 skills cataloged on DirSkills from FreedomIntelligence/OpenClaw-Medical-Skills.
AgentD Drug Discovery is one of 668 Data skills cataloged on DirSkills, ranked #257 by stars among them.