vlm-configuration

vlm-configuration is an LLM app frameworks & APIs skill for AI agents, published by NVIDIA in the Quantum-Calibration-Agent-Blueprint repository on GitHub. Skillspace rates vlm-configuration D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Configure the Vision Language Model (VLM) used for analyzing experiment plots. Use when the user asks to change the VLM provider or model, adjust temperature or max_tokens, enable or disable thinking mode, or troubleshoot VLM-related behavior in config.yaml.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
57

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.

View source on GitHubNVIDIA/Quantum-Calibration-Agent-Blueprint

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
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

Better-rated skills in LLM app frameworks & APIs

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