high-performance-low-ram-client-server

high-performance-low-ram-client-server is a Backend performance & caching skill for AI agents, published by alphaonex86 in the CatchChallenger repository on GitHub. Skillspace rates high-performance-low-ram-client-server F (48/100) and it passed the safety scan; the rating is based on static analysis only.

Abstract, engine-agnostic playbook for building extremely fast, extremely small-footprint client/server software (real-time games, MMOs, low-latency services). Distils the architecture that lets one single-threaded server hold hundreds of clients in 10-20 MB base RAM plus <1 KB per client, stay playable over <10 KB/s / >1000 ms links, saturate into a stable plateau instead of a death spiral, and run on hardware as weak as a 66 MHz i486 or an AMD Geode LX800 — while the SAME source also scales out to a multi-role cluster and down to a no-filesystem microcontroller. Use when designing a protocol, a hot path, a memory layout, a persistence/distribution strategy, or a cluster, where performance-per-watt and operability on bad hardware / bad networks are first-class goals.

Grade
F
Quality
48 / 100
Safety
Passed
GitHub stars
57

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
71 / 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 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

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