anomalib-adding-a-model
anomalib-adding-a-model is a Model training & evaluation skill for AI agents, published by open-edge-platform in the anomalib repository on GitHub. Skillspace rates anomalib-adding-a-model D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Adds a new anomaly-detection model to anomalib under src/anomalib/models/. Use when implementing a new model architecture (image or video), wiring it into the AnomalibModule base class, registering it so get_model() and the CLI/config (jsonargparse) can discover it, and adding matching tests. Do not use for changes to existing model internals only (no new model), or for datamodule/dataset work (see anomalib-adding-a-datamodule).
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 6,152
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, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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