uft-deepread-module
uft-deepread-module is a Fine-tuning & training data skill for AI agents, published by Axel051171 in the UnifiedFloppyTool repository on GitHub. Skillspace rates uft-deepread-module D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding a new module to UFT's DeepRead pipeline or OTDR-booster (8+12 modules exist). Trigger phrases: "neues DeepRead modul", "OTDR modul für X", "adaptive decode pass für Y", "recovery module", "weighted voting pass". Pipeline pattern: each module takes flux+annotations, produces refined flux+annotations. DO NOT use for: flat decoder changes (→ src/flux/), protection detection (→ uft-protection-scheme), format plugins (→ uft-format-plugin), top-level PLL (→ algorithms/).
- Grade
- D
- Quality
- 59 / 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
- 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
- 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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