stacks-faker
stacks-faker is a Test authoring & frameworks skill for AI agents, published by stacksjs in the stacks repository on GitHub. Skillspace rates stacks-faker D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use when working with fake data generation in a Stacks application - seeding databases, generating test data, model factories, or using faker utilities. Covers @stacksjs/faker (wrapper around ts-mocker) and its integration with the database seeder.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 627
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
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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