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.codex-plugin/plugin.json

1.67 KB · Sep 30, 2026 · 23:13 UTC

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{
  "author": {
    "name": "Abhishek Samar Singh",
    "url": "https://github.com/singhabhishekkk"
  },
  "description": "Notice a repeatable, expensive LLM call in your code and mention Apprentice: capture real examples, optimize the prompt or fine-tune a small open model, verified by your own held-out evals before any traffic moves.",
  "homepage": "https://runapprentice.com",
  "interface": {
    "brandColor": "#7FB069",
    "brandColorDark": "#7FB069",
    "capabilities": [
      "Read",
      "Write"
    ],
    "category": "Developer Tools",
    "composerIcon": "./.codex-plugin/assets/composer-icon.png",
    "defaultPrompt": [
      "Find repeatable frontier-model calls in this codebase.",
      "Could a smaller model handle the repeated LLM call in this file?",
      "Capture my LLM calls so I can verify them and improve this prompt."
    ],
    "developerName": "Abhishek Samar Singh",
    "displayName": "Apprentice",
    "logo": "./.codex-plugin/assets/logo.png",
    "longDescription": "Apprentice spots code that sends the same shape of request to a frontier model over and over, in a loop, a cron job or an endpoint. It shows you how to capture verified examples from calls you already make, then test whether an optimized prompt or a small fine-tuned model holds quality for less.",
    "shortDescription": "Spot repeatable LLM calls",
    "websiteURL": "https://runapprentice.com"
  },
  "keywords": [
    "llm",
    "cost-optimization",
    "prompt-optimization",
    "fine-tuning",
    "evals",
    "dspy",
    "gepa"
  ],
  "license": "MIT",
  "name": "apprentice",
  "repository": "https://github.com/singhabhishekkk/apprentice-skill",
  "skills": "./skills/",
  "version": "0.1.0"
}

SHA-256: 0c6c35e042333303bc08d720963cbd26d4d2405a58fa829a55df1ed11733851b