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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-37/

{
  "context": "Tests whether the agent correctly identifies that requests.cache() does not exist instead of hallucinating an implementation. Brevity compression should not cause the agent to skip the correction and blindly implement a nonexistent API.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Identifies that requests.cache() does not exist",
      "description": "States that the requests library has no built-in cache() method",
      "max_score": 20
    },
    {
      "name": "Suggests a real alternative",
      "description": "Recommends an actual caching approach: requests-cache, cachetools, manual caching with a dict/TTL, or functools.lru_cache",
      "max_score": 15
    },
    {
      "name": "Does not hallucinate a working requests.cache() implementation",
      "description": "Does not write code that calls requests.cache() as if it were a real method",
      "max_score": 20
    }
  ]
}

evals

README.md

SKILL.md

tile.json