Cost-Analysis-Closure-Counter

The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Return JSON only with keys benchmark, title, diagnosis, fix, done. Set benchmark to "cost", title to "Fix closure capture bug in counter factory", and done to true. Counters created in a loop all share the final index. Diagnose and fix concisely.

{
  "metrics": {
    "strict": {
      "checks": [
        {
          "contains": [
            "cost"
          ]
        },
        {
          "contains": [
            "done"
          ]
        },
        {
          "contains": [
            "closure"
          ]
        },
        {
          "contains": [
            "index"
          ]
        },
        {
          "contains": [
            "let"
          ]
        }
      ]
    }
  }
}