effect-cache
effect-cache is a Backend performance & caching skill for AI agents, published by mpsuesser in the pi-effect-harness repository on GitHub. Skillspace rates effect-cache D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Cache effectful lookups in memory with Cache and ScopedCache — capacity/LRU eviction, fixed or exit-aware TTL, deduplicated concurrent lookups, refresh/invalidation, and resource-owning entries with per-entry scopes. Use when memoizing effectful lookups by key, adding TTL caching to API or DB reads, deduplicating concurrent fetches of the same key, or caching values that own resources such as connections.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 20
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
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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