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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