libreyolo-port-model
libreyolo-port-model is a Computer vision skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates libreyolo-port-model F (42/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Port a model into LibreYOLO. Executable guide — finds your closest existing family to clone, gives paste-ready templates for the model class, conversion script, runtime auto-convert recognizer, and trainer subclass, then walks the port as a sequence of self-contained commits. Covers detection, pose, and segmentation in depth; routes classify / semantic / depth / restore / point / gaze ports to their merged exemplar families. Use this for any new family (RTMO, MobileDet, PP-YOLOE, a new HF model).
- Grade
- F
- Quality
- 42 / 100
- Safety
- Risky
- GitHub stars
- 493
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
- 52 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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.