uft-ml-training-data
uft-ml-training-data is a Fine-tuning & training data skill for AI agents, published by Axel051171 in the UnifiedFloppyTool repository on GitHub. Skillspace rates uft-ml-training-data D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Use when generating labeled training data for UFT's ML modules — flux captures with ground truth, augmented synthetic patterns, or protection-classifier reference samples. Trigger phrases: "training data für ML decoder", "labeled flux samples generieren", "ground truth pairs", "synthetic flux augmentation", "training set für classifier", "ml training generator implementieren", "ml_training_gen Funktion". Bridges flux fixtures and ML inputs. DO NOT use for: just test fixtures (→ uft-flux-fixtures), generating new disk-image formats (→ uft-flux-fixtures), implementing the ML decoder itself (→ uft-ml-implement-skeleton), labeling existing flux (different — that's manual annotation).
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 80 / 100
- Maturity
- Structured: ships references or scripts
- 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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