{
  "tested_at": "2026-10-11",
  "subject": "Anthropic skill-creator",
  "source_repository": "https://github.com/anthropics/skills",
  "source_commit": "dbd4588f9e1033efb41dad4bef2f7947c8993d44",
  "source_path": "skills/skill-creator",
  "license": "Apache-2.0 (upstream LICENSE.txt at pinned commit)",
  "source_skill_sha256": "dcd4803e61e913e6fc27294184cd3a71f09f5e924ff20c8a9a20173e7b3c2bcf",
  "environment": {
    "scope": "isolated temporary project",
    "os": "macOS 26.4.1",
    "python": "3.14.6",
    "skills_cli": "1.7.2",
    "codex_cli": "0.162.0-alpha.2",
    "pyyaml_for_upstream_validator": "6.0.3"
  },
  "install": {
    "method": "npx skills add <local checkout at pinned commit> --skill skill-creator --agent codex -y --copy --json",
    "result": "installed project-local at .agents/skills/skill-creator; not global"
  },
  "task": "Create a portable Agent Skill that audits local UTF-8 CSV files with case_id, owner, score columns, reports physical source rows in JSON, and checks missing columns, duplicate case_id, blank owner, and score integer range 0..10. Use the two provided synthetic fixtures; run quick_validate.py and package_skill.py.",
  "agent_run": {
    "count": 1,
    "mode": "explicitly directed to use installed skill",
    "exit_status": 0,
    "duration_seconds": 77.2,
    "produced": [
      "SKILL.md",
      "scripts/audit_csv.py",
      "evals/evals.json",
      ".skill archive"
    ],
    "upstream_validation": "passed with PyYAML in isolated venv after system Python lacked yaml",
    "packaging": "passed"
  },
  "files": {
    "skill-creator-good.csv": {
      "url": "/assets/evidence/skill-creator-good.csv",
      "sha256": "6103ff5e4c58de3428359712e83a62cfdf876781cf6915094f8127c144ef0937"
    },
    "skill-creator-bad.csv": {
      "url": "/assets/evidence/skill-creator-bad.csv",
      "sha256": "959204b0464a5509659803be1a4f9bb888f3d33c6d4ca844d2759f69959d55b6"
    },
    "csv-case-audit.skill": {
      "url": "/assets/evidence/csv-case-audit.skill",
      "sha256": "d8b7a4dc653c07852e64cd48767031252ef250d7ef3d71934dc0b02658fa6674"
    }
  },
  "fixture_checks": [
    {
      "input": "skill-creator-good.csv",
      "rows_checked": 2,
      "error_count": 0,
      "exit_status": 0,
      "expected": "quoted comma parsed correctly"
    },
    {
      "input": "skill-creator-bad.csv",
      "rows_checked": 3,
      "error_count": 3,
      "exit_status": 1,
      "errors": [
        {
          "code": "duplicate_case_id",
          "row": 3,
          "first_row": 2
        },
        {
          "code": "score_out_of_range",
          "row": 3
        },
        {
          "code": "blank_owner",
          "row": 4
        }
      ]
    }
  ],
  "extra_checks": [
    {
      "input": "missing required header",
      "observed": "missing_required_column on row 1; row checks stopped"
    },
    {
      "input": "multiline owner field followed by repeated ID",
      "observed": "duplicate_case_id on physical row 4"
    },
    {
      "input": "unclosed quoted field",
      "observed": "csv_parse_error on row 2"
    }
  ],
  "archive_integrity": {
    "zip_testzip": "passed",
    "entries": [
      "csv-case-audit/SKILL.md",
      "csv-case-audit/scripts/audit_csv.py"
    ],
    "sha256": "d8b7a4dc653c07852e64cd48767031252ef250d7ef3d71934dc0b02658fa6674"
  },
  "claude_code_attempt": {
    "count": 1,
    "outcome": "blocked before execution: API reported organization disabled",
    "skill_activation_verified": false
  },
  "not_verified": [
    "automatic natural-language triggering",
    "Claude Code task execution or output",
    "effect versus a no-skill baseline",
    "independent evaluator or human quality review",
    "all CSV dialects and production datasets"
  ],
  "notes": [
    "Generated helper uses Python standard library only.",
    "No real customer data used.",
    "The archive is an educational trial artifact."
  ]
}