research-thermoelectric-semiconductors
research-thermoelectric-semiconductors is a Chemistry & materials skill for AI agents, published by wentorai in the Research-Claw repository on GitHub. Skillspace rates research-thermoelectric-semiconductors C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Route and execute rigorous thermoelectric semiconductor and device research, including field mapping, transport-physics reasoning, literature audits, hypotheses, experiment design, metrology, uncertainty, materials-to-device translation, and failure analysis; use for broad thermoelectric questions spanning materials, contacts, modules, cooling, or power generation, and route flexible Bi2Te3 or GeTe work to their dedicated Skills.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 851
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.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- 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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