use-libreyolo-zero-shot
use-libreyolo-zero-shot is a Computer vision skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates use-libreyolo-zero-shot D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Use LibreYOLO's zero-shot and promptable tiers: open-vocabulary detection with text vocabularies (LibreOpenVocab: Grounding DINO, OWLv2), promptable segmentation with points/boxes (LibreSAM: SAM-1, SAM-2, MobileSAM), zero-shot classification (LibreCLIP set_classes), and VLM-as-detector (LibreVLM). Use when someone wants to detect arbitrary text-described classes without training ("find the forklifts", custom vocabulary), click-to-segment / box-to-mask, segment-everything, open-set classification, or asks which zero-shot model to pick. Covers choosing a tier, each tier's API and gotchas, extras to install, and honest guidance on speed/calibration. For the standard trained detectors see use-libreyolo.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 493
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- 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
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