{
  "context": "This criteria evaluates how well the engineer uses crosshair-tool's file watching and continuous analysis capabilities to implement a contract monitoring service. The focus is on proper integration with CrossHair's watch functionality, contract checking APIs, and result handling.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses watch command",
      "description": "Implementation utilizes CrossHair's `watch` command or equivalent API (e.g., subprocess call to 'crosshair watch' or imports from crosshair.watchers module) to monitor directory for file changes.",
      "max_score": 25
    },
    {
      "name": "Integrates contract checking",
      "description": "Implementation properly invokes CrossHair's contract checking functionality (e.g., using 'crosshair check' command, or importing and calling analysis functions from crosshair.core_and_libs or crosshair.statespace modules) to analyze Python files for contract violations.",
      "max_score": 25
    },
    {
      "name": "Handles watch results",
      "description": "Implementation correctly captures and processes the output from CrossHair's watch/check operations, parsing the standardized output format (filename:line: error: message) to extract violation details.",
      "max_score": 20
    },
    {
      "name": "Implements graceful shutdown",
      "description": "Implementation handles interruption signals properly to allow the file watching process to shut down gracefully, using appropriate signal handling or context managers to clean up watch processes.",
      "max_score": 15
    },
    {
      "name": "Structured output format",
      "description": "Implementation outputs analysis results in the specified JSON structure with file paths, violation details (line numbers and messages), and timestamps as required by the spec.",
      "max_score": 15
    }
  ]
}