vlm-scene-captioning

vlm-scene-captioning is a Computer vision skill for AI agents, published by isaac-sim in the IsaacSim repository on GitHub. Skillspace rates vlm-scene-captioning C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Generate image + caption pairs and structured scene graphs (IRC, isaacsim.replicator.caption.core) for VLM training. Use when captioning scenes or wiring IRC into an actor/object SDG run.

Grade
C
Quality
70 / 100
Safety
Passed
GitHub stars
4,074

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
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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

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