deploy-qwen-vlm-brev
deploy-qwen-vlm-brev is an MLOps & model serving skill for AI agents, published by NVIDIA-Omniverse in the content-agents repository on GitHub. Skillspace rates deploy-qwen-vlm-brev F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.
Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.
Deploy or smoke-test a Brev-hosted OpenAI-compatible Qwen VLM/LLM endpoint. Use when the user asks to deploy VLM on Brev, host Qwen on A100/H100, create a Qwen VLM endpoint for Material or Physics Agent, test a Brev model node, or recreate the validated Denvr A100 or Hyperstack H100 Qwen deployment. This workflow uses a local port-forward so local agent pipelines can call the remote endpoint.
- Grade
- F
- Quality
- 15 / 100
- Safety
- Unsafe
- 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.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Critical-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
What the scanner flagged
- destructive rm -rf on home/root
- accesses sensitive system files
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.