molclaw-interaction-visualizer

molclaw-interaction-visualizer is a Bioinformatics & life sciences skill for AI agents, published by InternScience in the MolClaw repository on GitHub. Skillspace rates molclaw-interaction-visualizer D (68/100) and it passed the safety scan; the rating is based on static analysis only.

**PRIMARY tool for all single-structure interaction analysis.** Local protein–ligand / peptide / protein–protein interaction analysis and Schrödinger-style multi-dimensional visualization. Pure Python/NumPy engine covering 9 interaction types with 2D diagram, 3D PyMOL rendering, residue bar, interface heatmap, interface network, and decision-ready CSV/JSON export. Always use this tool first; fall back to ProLIF MCP only for batch docking fingerprint comparison or MD trajectory analysis.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
27

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 GitHubInternScience/MolClaw

Our review

Architecture
77 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 2 other repositories, in 0 collections

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

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