spree-performance
spree-performance is a Backend performance & caching skill for AI agents, published by OrcaQubits in the agentic-commerce-skills-plugins repository on GitHub. Skillspace rates spree-performance F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Profile and optimize a Spree application — N+1 queries with bullet/scout, database indexing strategy for Spree's polymorphic associations, Rails fragment + Russian doll caching, ActiveStorage variant pre-generation, Sidekiq queue tuning, MeiliSearch vs Postgres FTS tradeoffs, Puma worker/thread sizing, CDN strategy for catalog pages, asset precompile time, and load testing. Use when Spree is slow, the database is hot, or you're preparing for a traffic spike (Black Friday, launch).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 34
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.