uft-ml-implement-skeleton
uft-ml-implement-skeleton is a Model training & evaluation skill for AI agents, published by Axel051171 in the UnifiedFloppyTool repository on GitHub. Skillspace rates uft-ml-implement-skeleton D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use when implementing functions from a UFT_SKELETON_PLANNED header (uft_ml_decoder.h, uft_ml_training_gen.h, or any future skeleton). Trigger phrases: "implementiere uft_ml_decoder", "ML decoder fertig bauen", "training_gen Funktion implementieren", "skeleton ausfüllen", "promote skeleton to real implementation", "M1 MF-011 implement". Enforces the "no phantom features" rule: implement the function or remove the prototype, never both. DO NOT use for: implementing uft_ml_protection.c (already complete → uft-ml-protection-classifier), designing new ML APIs from scratch (write design doc first), porting external ML libs (separate concern), generating training data only (→ uft-ml-training-data).
- Grade
- D
- Quality
- 66 / 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
- 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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