sc-qa
sc-qa is a RAG & retrieval skill for AI agents, published by open-edge-platform in the edge-ai-suites repository on GitHub. Skillspace rates sc-qa D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Ask a natural-language question against indexed content via the Content Search RAG Q&A endpoint. Supports multi-turn conversation history (up to 3 turns by default), optional tag filtering to scope retrieval, and returns an answer with cited sources (document name, type, relevance score). Use when the user says "ask a question", "query the content", "what does the document say", "search the knowledge base", "multi-turn Q&A", "qa endpoint", "answer from documents", or "RAG question".
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 120
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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.