kb-query
kb-query is a Doc lookup & research skill for AI agents, published by ThibautBaissac in the kb-physics repository on GitHub. Skillspace rates kb-query D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Answer a question from the KB with citations, optionally filing the answer as a new page. Use when the user asks a physics question, wants to query the knowledge base, or asks about topics covered in the KB (theories, concepts, people, experiments, open questions). WHEN NOT: Ingesting new sources (use kb:ingest), fetching articles (use kb:fetch), or health-checking the KB (use kb:lint).
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 82 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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