cache-framework

cache-framework is a Backend performance & caching skill for AI agents, published by Rain-kl in the OpenFlare repository on GitHub. Skillspace rates cache-framework D (57/100) and it passed the safety scan; the rating is based on static analysis only.

Wavelet 项目专用：当新增或修改业务缓存（RAM/Redis/DB 三层读路径）、缓存失效、多节点 pub/sub 同步、或评估高频读是否应接入缓存时必须使用。本技能说明系统标准缓存框架、参考实现、禁止写法与分布式一致性要求。

Grade
D
Quality
57 / 100
Safety
Passed
GitHub stars
218

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, so go by its current files.

View source on GitHubRain-kl/OpenFlare

Our review

Architecture
88 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 2 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

Better-rated skills in Backend performance & caching

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.