materials-screening
materials-screening is a Chemistry & materials skill for AI agents, published by beita6969 in the ScienceClaw repository on GitHub. Skillspace rates materials-screening D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrates a materials screening workflow from database search through property filtering to stability assessment and ranking. Use when identifying candidate materials for batteries, catalysts, semiconductors, or other applications. NOT for molecular chemistry or biological compound analysis.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 866
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic computational materials screening workflow; no repo- or vendor-specific ties
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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