molclaw-mol-hbond-metrics

molclaw-mol-hbond-metrics is a Chemistry & materials skill for AI agents, published by InternScience in the Agents-A1 repository on GitHub. Skillspace rates molclaw-mol-hbond-metrics C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Compute hydrogen bonding-related properties for a list of SMILES strings, specifically determining the number of hydrogen bond donors and acceptors for each input molecule.

Grade
C
Quality
74 / 100
Safety
Passed
GitHub stars
556

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

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/Agents-A1

Our review

Architecture
99 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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Also published in 1 other repo

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