autorag-lite-search
autorag-lite-search is a RAG & retrieval skill for AI agents, published by Marker-Inc-Korea in the AutoRAG repository on GitHub. Skillspace rates autorag-lite-search C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Retrieve documents from an indexed AutoRAG Lite corpus without a model, then persist externally curated reports, inspect evidence, and record numbered feedback. Use when the user wants model-free search, scoped or tag-narrowed retrieval, or the report/evidence/feedback workflow over local documents and authorized datasources.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 5,070
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.
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.