uft-ml-protection-classifier
uft-ml-protection-classifier is an Embedded, IoT & robotics skill for AI agents, published by Axel051171 in the UnifiedFloppyTool repository on GitHub. Skillspace rates uft-ml-protection-classifier D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use when modifying or extending uft_ml_protection.c — the cosine- similarity copy-protection classifier. Trigger phrases: "neue protection im ML classifier", "V-MAX/RapidLok/CopyLock reference vector", "ml_protection feature engineering", "protection classifier threshold", "classifier features hinzufügen". This is the ONE complete ML module in UFT — pure C, no external libs. DO NOT use for: heuristic protection detection (→ uft-protection-scheme — different layer), CNN/neural decoders (→ uft-ml-implement-skeleton), training data generation (→ uft-ml-training-data), uft_ml_decoder.h (skeleton, not classifier).
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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