chemaudit-structure-filter

chemaudit-structure-filter is a Chemistry & materials skill for AI agents, published by Kohulan in the ChemAudit repository on GitHub. Skillspace rates chemaudit-structure-filter D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Filter generative-chemistry outputs through ChemAudit's 6-stage multi-stage funnel with a composite 0-1 scorer and REINVENT 4-compatible scoring endpoint. Use when user says "filter molecules", "drug-like filter", "structure filter", "filter generative output", "REINVENT scoring", "REINVENT Component", "lead-like filtering", "fragment filter", "funnel these SMILES", "novelty filter", or "score generative batch". Four built-in presets (drug_like, lead_like, fragment_like, permissive). Sync for ≤1000 SMILES, async for larger.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
64

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubKohulan/ChemAudit

Our review

Architecture
84 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • over-broad allowed-tools ('*')

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Chemistry & materials

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