pp-everbee
pp-everbee is a Market & industry research skill for AI agents, published by mvanhorn in the printing-press-library repository on GitHub. Skillspace rates pp-everbee D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Etsy niche research whose scores come with their evidence attached — seeded search, honest confidence, and a local store that turns repeat research into trends. Trigger phrases: `research the dad shirt niche on Etsy`, `is this Etsy niche low competition`, `find low-competition Etsy sub-niches under dad`, `what tags do winning Etsy listings use for this niche`, `size up the competitors in this Etsy niche`, `use everbee`, `run everbee`.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 1,798
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
- 87 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Etsy niche research via the EverBee product
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.