OpenClaw-Medical-Skills chemical-property-lookup

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install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/chemical-property-lookup" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-chemical-property-lookup && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/chemical-property-lookup" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-chemical-property-lookup && rm -rf "$T"
manifest: skills/chemical-property-lookup/SKILL.md
source content
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name: chemical-property-lookup description: Compute RDKit-driven molecular properties (MW, logP, TPSA, QED, Lipinski) for a SMILES string to support downstream drug discovery tools. allowed-tools:

  • read_file
  • run_shell_command

At-a-Glance

  • description (10-20 chars): RDKit stats
  • keywords: SMILES, RDKit, Lipinski, QED, ADMET
  • measurable_outcome: Return a validated property summary (JSON + Lipinski verdict) for each SMILES within 60 seconds of request.

Workflow

  1. Validate SMILES input; raise explicit errors for invalid syntax.
  2. Call helpers from
    molecular_tools.py
    (
    summarize_properties
    ,
    check_lipinski
    , etc.).
  3. Report MW, logP, TPSA, HBD/HBA, QED, and Lipinski pass/fail with violations.
  4. Surface any calculation warnings (e.g., aromaticity perception issues).

Guardrails

  • Never infer stereochemistry; report as "not provided".
  • Log invalid SMILES for manual follow-up.
  • Communicate that results are screening heuristics, not definitive ADMET outcomes.

References

  • README.md
    plus
    molecular_tools.py
    for function signatures and dependencies.
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