vss-search
vss-search is a RAG & retrieval skill for AI agents, published by open-edge-platform in the edge-ai-libraries repository on GitHub. Skillspace rates vss-search C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Search a video library with natural language via the VSS Pipeline Manager — upload a video (POST /videos), generate its embeddings (POST /videos/search-embeddings/{id}), then run a query (POST /search/query) with optional tag and time filters and read the ranked clip results. Use when the user says "search my videos", "find <thing> in the videos", "when did X happen", or wants to ingest/index a video for search. Requires a search-capable deployment (--search, --dual, or --unified).
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 152
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
- Packaged: licensed, with a version or references
- 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.