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juliusbrussee/caveman

Compressed caveman-style prose for AI coding agents — cuts ~65% output tokens while keeping full technical accuracy

96

1.00x
Quality

100%

Does it follow best practices?

Impact

96%

1.00x

Average score across 38 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

criteria.jsonevals/scenario-17/

{
  "context": "Tests whether the response correctly maps scenarios to load balancing algorithms.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Stateless API: Round Robin",
      "description": "Recommends Round Robin (or Random) for identical stateless servers — simplest and sufficient",
      "max_score": 12
    },
    {
      "name": "Mixed servers: Weighted or Least Connections",
      "description": "Recommends Weighted Round Robin, Weighted Least Connections, or Least Connections for heterogeneous server sizes",
      "max_score": 12
    },
    {
      "name": "Chat app: Sticky Sessions / IP Hash",
      "description": "Recommends sticky sessions (session affinity), IP hash, or consistent hashing for the WebSocket use case",
      "max_score": 12
    },
    {
      "name": "Explains why each algorithm fits",
      "description": "Provides reasoning for each choice, not just the algorithm name",
      "max_score": 10
    },
    {
      "name": "No incorrect information",
      "description": "Load balancing algorithm descriptions and behaviors are technically correct",
      "max_score": 10
    }
  ]
}

evals

README.md

SKILL.md

tile.json