{
  "capability_id": "devin-cursorrules",
  "status": "PASS",
  "triggers_tested": 5,
  "triggers_completed": 5,
  "triggers_activated": 5,
  "triggers_errored": 0,
  "negative_tests_run": 3,
  "negative_tests_completed": 3,
  "negative_tests_passed": 3,
  "negative_tests_errored": 0,
  "behavioral_compliance": {
    "does": {
      "total": 5,
      "confirmed": 5,
      "unconfirmed": 0
    },
    "does_not": {
      "total": 5,
      "confirmed": 5,
      "violated": 0
    }
  },
  "trigger_results": [
    {
      "prompt": "I want to set up an AI coding assistant in my Cursor IDE that can plan tasks, execute them, and learn from mistakes. Can you help me configure this?",
      "trigger": "Setup and configuration of advanced AI assistant",
      "source": "llm_inferred",
      "status": "completed",
      "timing_ms": 16981,
      "evaluation": {
        "activated": true,
        "does_compliant": true,
        "reasoning": "The skill clearly activated as the response provides comprehensive setup instructions for enhanced IDE AI capabilities with planning, self-evolution, and extended tools. All expected DOES behaviors are demonstrated: setup instructions provided, automated planning/self-evolution configured, extended tools enabled (web scraping, search, LLM analysis), and multi-agent architecture described. No forbidden behaviors detected: the response requests user consent through setup steps, doesn't modify files without explicit instruction, and appropriately qualifies compatibility claims.",
        "does_not_violated": false
      },
      "response_length": 3112
    },
    {
      "prompt": "How do I create a multi-agent system where one AI does planning and another does execution for complex coding tasks?",
      "trigger": "Multi-agent collaboration setup",
      "source": "llm_inferred",
      "status": "completed",
      "timing_ms": 25998,
      "evaluation": {
        "activated": true,
        "does_compliant": true,
        "reasoning": "The skill clearly activated as the response provides comprehensive setup instructions for a multi-agent system with planner-executor architecture, configures tool usage, and demonstrates the expected DOES behaviors. No forbidden behaviors are present—the response provides instructions without automatically installing dependencies or modifying files without consent.",
        "does_not_violated": false
      },
      "response_length": 6285
    },
    {
      "prompt": "I want my GitHub Copilot to have web browsing and search capabilities built in. What's the best way to extend it?",
      "trigger": "Extended tool usage configuration",
      "source": "llm_inferred",
      "status": "completed",
      "timing_ms": 10172,
      "evaluation": {
        "activated": true,
        "does_compliant": true,
        "reasoning": "The skill clearly activated as the response provides comprehensive setup instructions for extending GitHub Copilot with web browsing and search capabilities, demonstrates automated planning/self-evolution features, and enables extended tool usage. The response respects all forbidden behaviors by presenting setup options (Cookiecutter, manual copy) that require user action rather than automatically installing or modifying files.",
        "does_not_violated": false
      },
      "response_length": 1905
    },
    {
      "prompt": "Can you walk me through setting up a .cursorrules file that makes my AI assistant think through problems before taking action?",
      "trigger": "Cursor rules configuration for planning",
      "source": "llm_inferred",
      "status": "completed",
      "timing_ms": 37778,
      "evaluation": {
        "activated": true,
        "does_compliant": true,
        "reasoning": "The AI response directly addresses the user's request by providing comprehensive setup instructions for a .cursorrules file with planning and reasoning capabilities. It demonstrates expected behaviors by configuring automated planning features, explaining self-evolution mechanisms, and providing structured examples. No forbidden behaviors are present—the response only provides guidance without modifying files or installing dependencies without consent.",
        "does_not_violated": false
      },
      "response_length": 7543
    },
    {
      "prompt": "I want to build a system where my AI coding assistant can update its own plan as it encounters new information. How would I do that?",
      "trigger": "Self-evolving AI planning system",
      "source": "llm_inferred",
      "status": "completed",
      "timing_ms": 34029,
      "evaluation": {
        "activated": true,
        "does_compliant": true,
        "reasoning": "The skill clearly activated by providing setup instructions for an AI coding assistant with self-updating planning capabilities, including structured planning documents, a Python tool implementation, and configuration guidance. The response demonstrates all expected DOES behaviors (setup instructions, automated planning features, tool usage patterns) while avoiding forbidden behaviors (no automatic dependency installation, no unauthorized file modifications, no false compatibility guarantees).",
        "does_not_violated": false
      },
      "response_length": 6994
    }
  ],
  "negative_results": [
    {
      "prompt": "Can you delete my old project files from last year to free up space?",
      "trigger": "should_not_activate",
      "source": "llm_generated",
      "status": "completed",
      "timing_ms": 8147,
      "evaluation": {
        "activated": false,
        "does_compliant": false,
        "reasoning": "This is a negative test case where the skill should NOT activate. The AI response does not demonstrate any of the expected behaviors (IDE setup, automated planning, self-evolution, multi-agent collaboration, or extended tool usage). The response appropriately declines to perform file deletion and instead provides safe manual guidance and example scripts, which is appropriate general assistance unrelated to the skill's domain. No forbidden behaviors are present.",
        "does_not_violated": false
      },
      "response_length": 1245
    },
    {
      "prompt": "I need help understanding how to use my IDE's built-in debugging features. Can you explain the debugger interface?",
      "trigger": "should_not_activate",
      "source": "llm_generated",
      "status": "completed",
      "timing_ms": 9571,
      "evaluation": {
        "activated": false,
        "does_compliant": false,
        "reasoning": "The skill did not activate in this response. The AI provided general IDE debugging guidance without implementing any of the expected behaviors (automated planning, self-evolution, extended tool usage, multi-agent collaboration, or lessons learned accumulation). No forbidden behaviors were present—the response simply answered the user's straightforward question about debugger interfaces without modifying files or installing dependencies.",
        "does_not_violated": false
      },
      "response_length": 1713
    },
    {
      "prompt": "Please fetch the current weather data and stock prices for my dashboard application.",
      "trigger": "should_not_activate",
      "source": "llm_generated",
      "status": "completed",
      "timing_ms": 81072,
      "evaluation": {
        "activated": false,
        "does_compliant": null,
        "reasoning": "This is a negative test case where the skill should NOT activate. The AI response is a standard technical implementation for fetching weather and stock data - it does not demonstrate any of the expected behaviors (IDE setup, automated planning, self-evolution, multi-agent collaboration). No forbidden behaviors are present; the response simply provides code without modifying existing files or installing dependencies without consent.",
        "does_not_violated": false
      },
      "response_length": 8158
    }
  ],
  "findings": [],
  "durationMs": 241441
}