caching-invalidation-patterns
caching-invalidation-patterns is a Backend performance & caching skill for AI agents, published by farming-labs in the fm-skills repository on GitHub. Skillspace rates caching-invalidation-patterns D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Explains cache invalidation strategies in web applications including cache keys, freshness windows, mutation-driven invalidation, revalidation, and eviction tradeoffs. Use when designing server-state caching, deciding when data is stale, or fixing bugs caused by stale or inconsistent cached data.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 35
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.
Our review
- Architecture
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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