legacy_libreyolo-add-native-detection-model
legacy_libreyolo-add-native-detection-model is an Embedded, IoT & robotics skill for AI agents, published by LibreYOLO in the libreyolo repository on GitHub. Skillspace rates legacy_libreyolo-add-native-detection-model F (45/100) 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.
Legacy guide for adding a detection model to LibreYOLO before the explicit task-paradigm refactor. Covers both YOLO-grid families (YOLOX, YOLOv9, YOLO-NAS) and DETR-style families (RF-DETR, D-FINE; future RT-DETR), but should be treated as pre-task-architecture guidance.
- Grade
- F
- Quality
- 45 / 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
- 63 / 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
- 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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