autorag
autorag is a RAG & retrieval skill for AI agents, published by Marker-Inc-Korea in the AutoRAG repository on GitHub. Skillspace rates autorag D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use an already configured AutoRAG librarian agent to search, summarize, compare, and answer questions from local document collections. Use autorag-setup instead for provider/model discovery, first-time configuration, or selecting folders to index.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 4,934
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
- 100 / 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
- Scope
- Vendor-specific: built around one product. Documents using the public AutoRAG librarian product.
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.