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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-33/

{
  "context": "Tests whether the response correctly distinguishes test doubles and provides appropriate examples.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Correctly defines stub",
      "description": "Describes a stub as returning predefined responses without behavior verification (provides canned answers)",
      "max_score": 12
    },
    {
      "name": "Correctly defines mock",
      "description": "Describes a mock as verifying interactions/calls happened (behavior verification — was this method called with these args?)",
      "max_score": 12
    },
    {
      "name": "Correctly defines fake",
      "description": "Describes a fake as a working lightweight implementation (in-memory database, fake SMTP server)",
      "max_score": 10
    },
    {
      "name": "Provides concrete examples for the email/DB scenario",
      "description": "Maps each test double to the scenario: e.g., stub the DB for read tests, mock the email service to verify send was called, fake DB with in-memory store",
      "max_score": 12
    },
    {
      "name": "No incorrect information",
      "description": "Definitions and examples are technically correct and not conflated",
      "max_score": 10
    }
  ]
}

evals

README.md

SKILL.md

tile.json