vdms-dataprep-user

vdms-dataprep-user is a RAG & retrieval skill for AI agents, published by open-edge-platform in the edge-ai-libraries repository on GitHub. Skillspace rates vdms-dataprep-user D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Deploy and consume the VDMS DataPrep video-ingestion stack (dataprep + VDMS vector DB + MinIO) — bring it up with setup.sh + docker compose (from a repo clone, or by fetching those same files from GitHub when no clone exists) using the prebuilt intel/vdms-dataprep image, then upload/ingest MP4s, add text-summary embeddings, and list/download/delete videos through the REST API at http://localhost:6007/v1/dataprep. Ingestion only: it does not answer search queries. Not for modifying the service's source — that is vdms-dataprep-dev.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
152

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.

View source on GitHubopen-edge-platform/edge-ai-libraries

Our review

Architecture
79 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

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

Better-rated skills in RAG & retrieval

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.