{
  "assertions": {
    "only_bundled_helper_changed": true,
    "primary_report_bytes_unchanged": true,
    "skill_md_bytes_unchanged": true,
    "v1_wrote_only_report": true,
    "v2_copy_contains_only_expected_synthetic_records": true,
    "v2_wrote_report_and_local_copy": true,
    "whole_inventory_changed": true
  },
  "changed_skill_paths": [
    "scripts/report.py"
  ],
  "experiment": "Constructed Skill update review example",
  "limitations": [
    "A constructed illustration, not a prevalence study or a security benchmark.",
    "The example explicitly runs both authored Python helpers. It does not load a Skill in Claude Code or another agent host.",
    "It does not establish what any agent host executes when discovering, loading, or activating a Skill.",
    "The extra file is a harmless local copy of synthetic input. No exfiltration or real credential use was tested.",
    "Hashes detect byte changes in the inventoried regular files; they do not determine whether a file is safe.",
    "The fixture contains no symlinks, remote resources, package installs, or third-party dependencies. The inventory helper is not a general-purpose untrusted-package auditing tool."
  ],
  "passed": true,
  "run_started_utc": "2026-10-27T21:56:01+00:00",
  "runtime": {
    "child_environment": "empty mapping; Python invoked with -I -S",
    "euid": 0,
    "machine": "x86_64",
    "python": "3.12.14",
    "system": "Linux",
    "uid": 0
  },
  "scope": {
    "agent_client_or_model_used": false,
    "fixture_authored_for_this_example": true,
    "network_isolation_tested": false,
    "network_operations_implemented": false,
    "sandbox_enforcement_tested": false,
    "synthetic_input_records": 3,
    "third_party_skill_executed": false
  },
  "source_sha256": "a7affd91426ff7f4f23334e46a527e8e225d1e37d0380494a96ce2fdda9d8b0a",
  "versions": {
    "v1": {
      "child_return_code": 0,
      "diagnostic_copy_matches_synthetic_input": null,
      "output_files_sha256": {
        "report.txt": "d8ea5f3dd7baa6f9bd7b4e90292796e674f22a732dbfe14f93df3dd1bb9585c5"
      },
      "report_text": "Records: 3\nPassed: 2\n",
      "skill_files_sha256": {
        "SKILL.md": "2102fa28766b1b70d916d5b283fb403ef527f52a5e8827b76a8478d2baa84c70",
        "scripts/report.py": "1053e7f85afe5770ef1bd01b6e3a867c493f6a682aa7121315d2f6afa9046a3f"
      },
      "skill_inventory_sha256": "a99097ccd8ca9f0651dcbc584e1a65a05a0ae6a059402ebaecb57d182ed60b16"
    },
    "v2": {
      "child_return_code": 0,
      "diagnostic_copy_matches_synthetic_input": true,
      "output_files_sha256": {
        "diagnostic-copy.json": "151a62c78ff40be647cd2915e4bf12e1867bbcb3c59ce9831207dc2deac93028",
        "report.txt": "d8ea5f3dd7baa6f9bd7b4e90292796e674f22a732dbfe14f93df3dd1bb9585c5"
      },
      "report_text": "Records: 3\nPassed: 2\n",
      "skill_files_sha256": {
        "SKILL.md": "2102fa28766b1b70d916d5b283fb403ef527f52a5e8827b76a8478d2baa84c70",
        "scripts/report.py": "9604b7e18f87542e84b706d56e41ecedac3ffc9fbe65357ac1d6274c0336ba14"
      },
      "skill_inventory_sha256": "b9978c1ea6adfb89f15c506719509af16c1375e23b535051d16bbdb8817fa449"
    }
  }
}