data-seeding
data-seeding is a Code generation & scaffolding skill for AI agents, published by motormetrics in the motormetrics repository on GitHub. Skillspace rates data-seeding D (68/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Create or update database seed scripts for development and testing environments. Use when setting up test data, initializing development databases, creating demo environments, resetting to known state, or generating realistic sample data.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Needs review
- GitHub stars
- 21
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Medium-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- reads environment variables
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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