using-datagenflow-extensibility
using-datagenflow-extensibility is a Fine-tuning & training data skill for AI agents, published by nicofretti in the DataGenFlow repository on GitHub. Skillspace rates using-datagenflow-extensibility D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Use when creating data generation pipelines with DataGenFlow's extensibility system — user_templates, user_blocks, docker-compose setup, and dgf CLI. Use for any task involving generating synthetic data, building custom pipelines, or extending DataGenFlow from an external project without modifying its source.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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