{
  "run_id": "Btike--bulk-bg-remove-claude-haiku-5-5-1793150620837881741",
  "date": "2026-10-28T01:30:48.756289+00:00",
  "repo": "Btike/bulk-bg-remove",
  "kind": "repo",
  "source": "https://github.com/Btike/bulk-bg-remove",
  "commit": "6f4f721e9b6b6cc959081cdc28f7381460a37404",
  "model": "claude-haiku-5-5",
  "model_version": "claude-haiku-5-5",
  "test_version": "readme-c03644542c69939a9374958136a8b3431f7456269d3fb4b3c433785f59cfd637",
  "pass": true,
  "outcome": "pass",
  "time_to_working_s": 393.02659754199703,
  "total_s": 427.91833114624023,
  "steps": [
    "cd <guest-path> && pwd && ls -la && id -u && cat README.md | head -c 6000",
    "cd <guest-path> && git log --oneline -1 2>&1; python3 --version; echo $CDP_URL; curl -s -m 10 -i $CDP_URL/json/version | head -20",
    "cd <guest-path> && tail -c 1000 README.md; echo ----; cat .python-version; grep -n requires-python pyproject.toml; ls scripts tests .coldpass; which uv; uv --version 2>&1",
    "cd /tmp && timeout 900 uv tool install bulk-bg-remove 2>&1 | tail -20; echo \"rc=$?\"; which bulk-bg-remove; bulk-bg-remove --help 2>&1 | head -60",
    "export PATH=<guest-path>; cd /tmp && bulk-bg-remove --help 2>&1 | head -80; bulk-bg-remove --version 2>&1 | head -3",
    "cd <guest-path> && grep -n '^version' pyproject.toml; ls assets benchmark | head -50; export PATH=<guest-path>; cd /tmp && timeout 600 bulk-bg-remove doctor 2>&1 | head -60",
    "mkdir -p <guest-path> && cp <guest-path> <guest-path> && export PATH=<guest-path> && cd /tmp && timeout 600 bulk-bg-remove <guest-path> --dry-run --json 2>&1 | head -30; ls <guest-path>",
    "export PATH=<guest-path> && cd /tmp && timeout 1500 bulk-bg-remove <guest-path> -y 2>&1 | tail -30; echo rc=${PIPESTATUS[0]}; find <guest-path> -type f 2>/dev/null | head",
    "export PATH=<guest-path>; cd /tmp && bulk-bg-remove <guest-path> --shop --dry-run --json 2>&1 | tail -1 | head -c 1500; echo; cd <guest-path> && grep -rnE \"while True|schedule|cron|--once|--now|sleep\\(|webhook\" src | head -20; ls src/*",
    "mkdir -p <guest-path> <guest-path> && cp <guest-path> <guest-path> && ls -la <guest-path> <guest-path> && ls <guest-path> 2>&1 | head -1",
    "cd <guest-path> && cat > probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"-o\",\"<guest-path>\",\"-y\"],\"cwd\":\"<guest-path>\",\"env\":{\"HOME\":\"<guest-path>\"},\"output_directory\":\"<guest-path>\",\"expected_text\":\"1 done\"}\nEOF\npython3 -I -c \"import json;print(json.load(open('probe.json'))['argv'])\"",
    "cd <guest-path> && cat > claims.json <<'EOF'\n[\n{\"kind\":\"claim\",\"claim\":\"Default output folder is <name>-no-bg next to the input and a real photo is cut out\",\"source\":\"Output goes to a new `<name>-no-bg/` folder next to the input.\",\"input\":\"<guest-path>\",\"expected\":\"one image processed into <guest-path>\",\"probe_kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"-y\"],\"env\":{\"HOME\":\"<guest-path>\"},\"output_directory\":\"<guest-path>\",\"expected_text\":\"1 done\",\"cwd\":\"<guest-path>\"},\n{\"kind\":\"claim\",\"claim\":\"--dry-run --json plans the run as JSON with the model chosen\",\"source\":\"scan and plan only; one JSON event per line for agents\",\"input\":\"<guest-path>\",\"expected\":\"JSON plan event naming the auto-chosen model silueta\",\"probe_kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"--dry-run\",\"--json\"],\"env\":{\"HOME\":\"<guest-path>\"},\"expected_text\":\"\\\"model\\\": \\\"silueta\\\"\",\"cwd\":\"<guest-path>\"},\n{\"kind\":\"claim\",\"claim\":\"--shop plans a white square 2000 px JPEG output\",\"source\":\"`--shop` puts every product on white, square, 2000 px and ready to\",\"input\":\"<guest-path>\",\"expected\":\"plan with output_format jpg\",\"probe_kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"--shop\",\"--dry-run\",\"--json\"],\"env\":{\"HOME\":\"<guest-path>\"},\"expected_text\":\"\\\"output_format\\\": \\\"jpg\\\"\",\"cwd\":\"<guest-path>\"}\n]\nEOF\npython3 -I -c \"import json;print(len(json.load(open('claims.json'))))\"",
    "mkdir -p <guest-path> && cp <guest-path> <guest-path> && cd <guest-path> && cat > examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Documented folder run: bulk-bg-remove PATH writes PATH-no-bg, with --format webp for smaller lossless files\",\"source\":\"README.md Options table: --format webp|jpg\",\"input\":\"<guest-path> --format webp\",\"expected\":\"one image processed into <guest-path> as webp\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"--format\",\"webp\",\"-y\"],\"cwd\":\"<guest-path>\",\"env\":{\"HOME\":\"<guest-path>\"},\"output_directory\":\"<guest-path>\",\"expected_text\":\"1 done\"}]\nEOF\ncat > cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Entry points inspected (README, src/bulk_bg_remove cli.py and the ui server). The product is a one-shot CLI run per folder; no cron, scheduler, --once/--now, or webhook loop was found. The only while-True loop is the local UI server's event stream (src/bulk_bg_remove/ui/server.py:343), which is not a product cycle.\",\"checks\":[]}\nEOF\npython3 -I -c \"import json;[json.load(open(f)) for f in ['examples.json','cycles.json','claims.json','probe.json']];print('ok')\"",
    "cd /tmp && <env-var>=<guest-path> timeout 1500 python3 -I <guest-path> --validate --replay 2>&1 | tail -c 5000; echo rc=$?",
    "cd <guest-path> && cat > claims.json <<'EOF'\n[\n{\"kind\":\"claim\",\"claim\":\"Each photo is cut out into a new output folder (tested with -o, since the default <name>-no-bg location is not an argv destination)\",\"source\":\"Output goes to a new `<name>-no-bg/` folder next to the input.\",\"input\":\"<guest-path>\",\"expected\":\"one image processed into the new folder <guest-path>\",\"probe_kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"-o\",\"<guest-path>\",\"-y\"],\"env\":{\"HOME\":\"<guest-path>\"},\"output_directory\":\"<guest-path>\",\"expected_text\":\"1 done\",\"cwd\":\"<guest-path>\"},\n{\"kind\":\"claim\",\"claim\":\"--dry-run --json plans the run as JSON with the model chosen\",\"source\":\"scan and plan only; one JSON event per line for agents\",\"input\":\"<guest-path>\",\"expected\":\"JSON plan event naming the auto-chosen model silueta\",\"probe_kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"--dry-run\",\"--json\"],\"env\":{\"HOME\":\"<guest-path>\"},\"expected_text\":\"\\\"model\\\": \\\"silueta\\\"\",\"cwd\":\"<guest-path>\"},\n{\"kind\":\"claim\",\"claim\":\"--shop plans a white square 2000 px JPEG output\",\"source\":\"`--shop` puts every product on white, square, 2000 px and ready to\",\"input\":\"<guest-path>\",\"expected\":\"plan with output_format jpg\",\"probe_kind\":\"cli\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"--shop\",\"--dry-run\",\"--json\"],\"env\":{\"HOME\":\"<guest-path>\"},\"expected_text\":\"\\\"output_format\\\": \\\"jpg\\\"\",\"cwd\":\"<guest-path>\"}\n]\nEOF\ncat > examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Documented folder run with --format webp for smaller lossless files\",\"source\":\"README.md Options table: --format webp|jpg\",\"input\":\"<guest-path> --format webp\",\"expected\":\"one image processed into <guest-path> as webp\",\"argv\":[\"<guest-path>\",\"<guest-path>\",\"-o\",\"<guest-path>\",\"--format\",\"webp\",\"-y\"],\"cwd\":\"<guest-path>\",\"env\":{\"HOME\":\"<guest-path>\"},\"output_directory\":\"<guest-path>\",\"expected_text\":\"1 done\"}]\nEOF\npython3 -I -c \"import json;[json.load(open(f)) for f in ['examples.json','claims.json']];print('ok')\"",
    "cd /tmp && <env-var>=<guest-path> timeout 1500 python3 -I <guest-path> --validate --replay > <guest-path> 2>&1; echo rc=$?; python3 -I -c \"\nimport json\nd=json.load(open('<guest-path>'))\nprint('valid',d.get('valid'),d.get('problems'))\nr=d.get('replay',{})\nprint('status',r.get('status'))\ndet=r.get('details',{})\nprint('probe rc',det.get('returncode'),det.get('argv'))\nfor c in det.get('claims',[]): print('CLAIM',c.get('verdict'),c.get('outcome'),c.get('evidence'))\nfor e in det.get('example_checks',[]): print('EX',e.get('verdict'),e.get('outcome'),e.get('evidence'))\nfor c in det.get('cycle_checks',[]): print('CYC',c.get('verdict'))\n\"",
    "cd /tmp && grep -o '\"verdict\": \"[a-z_]*\"' <guest-path> | sort | uniq -c; grep -o '\"outcome\": \"[^\"]\\{0,160\\}' <guest-path> | head -8; rm -rf <guest-path>; ls <guest-path>",
    "cd <guest-path> && cat > report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"Remove backgrounds from every photo in a folder with the bulk-bg-remove CLI, writing a new output folder with cut-out PNGs\",\"operation_scope\":\"Linux x86_64 guest (Ubuntu, Python 3.12.3, uv 0.13.5), CPU only, 3.5 GB free RAM; downloads the silueta model (44 MB) on first run; no browser or credentials needed for the CLI path\",\"steps\":[\"curl -s $CDP_URL/json/version (HTTP 200, Chrome/155 shared endpoint reachable; not needed for CLI)\",\"uv tool install bulk-bg-remove (installed 0.1.0 into <guest-path>)\",\"bulk-bg-remove doctor (READY)\",\"bulk-bg-remove <guest-path> --dry-run --json (plan: model silueta)\",\"bulk-bg-remove <guest-path> -y (1 done, 0 failed; output showcase.png)\",\"bulk-bg-remove <guest-path> -o <guest-path> -y (probe, replayed PASS)\",\"bulk-bg-remove <guest-path> --shop --dry-run --json (output_format jpg)\"],\"deviations\":[\"Installed the PyPI release (uv tool install bulk-bg-remove, version 0.1.0) as the README documents, instead of building from the pinned checkout; the workspace pyproject also says 0.1.0 but I did not diff the sources.\",\"Input photo was assets/showcase.webp from the repo (a composite of four real photos), copied into fresh input folders.\",\"Claim and example runs use an explicit -o output folder, because the checker requires output_directory to match an argv destination; the README default location (<name>-no-bg next to the input) was observed manually in the first run but not replayed.\",\"The --ui browser drag-and-drop page was not exercised; the CLI path was used instead.\",\"No Git metadata setup was needed; the workspace was used directly, not as a git checkout.\",\"Removed my manual photos-no-bg output before replay; checker-generated output folders were left in <guest-path>\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\npython3 -I -c \"import json;d=json.load(open('report.json'));print(d['outcome'], len(d['steps']))\"; ls -la <guest-path>"
  ],
  "stuck_step": null,
  "error_excerpt": null,
  "what_it_did": "Remove backgrounds from every photo in a folder with the bulk-bg-remove CLI, writing a new output folder with cut-out PNGs",
  "suggested_fix": null,
  "tokens_in": 506679,
  "tokens_out": 14739,
  "cost_usd": 0.02049895,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [
          "<guest-path>",
          "<guest-path>",
          "-o",
          "<guest-path>",
          "-y"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": " \u2584\u2584\u2584 BULK-BG-REMOVE \u2584\u2584\u2584\n v0.1.0 \u00b7 100% local \u00b7 subject pixels untouched\n\n [1/4 SCAN]    x86_64 \u00b7 1 perf cores \u00b7 3.5 GB free RAM \u00b7 cpu\n               1 images (WebP 1) \u00b7 0 MB \u00b7 0 skipped\n [2/4 PLAN]    1 to process \u00b7 1 worker, one image at a time (limited by RAM) \u00b7 \nETA ~2s\n               model silueta \u00b7 edges matte \u00b7 needs 3.0 GB free RAM\n               auto: silueta fits your free RAM (8.1/10 on uniform images; best \nbirefnet-general-lite 8.6)\n               output \u2192 \n<guest-path>\n[excerpt truncated]",
        "stderr": "",
        "needs_credentials": false,
        "needs_browser": false,
        "scope": "product operation"
      }
    }
  ],
  "safety": {
    "version": "z2x-1",
    "rules_version": "z2x-1",
    "summary": "Review signals: 1 connection review.",
    "expected": "Reviewed as expected for a test run: attempted writes that failed, so nothing was written.",
    "findings": [
      {
        "kind": "connection-review",
        "count": 1,
        "note": "Repository processes attempted these non-loopback connections; proxies can hide the final hostname.",
        "location_count": 12,
        "process_count": 15
      }
    ],
    "context": [],
    "limitations": [
      "A short run cannot establish that code is safe.",
      "Connections show IP addresses; proxies can hide the final hostname.",
      "Tracing covers dispatched commands and their children, not the whole OS; guest root can interfere with tracing."
    ],
    "static": {
      "dependency_note": "OSV scanned supported lockfiles; unpinned dependencies and unsupported formats are outside this check."
    },
    "evidence_url": "/safety/?run=Btike--bulk-bg-remove-claude-haiku-5-5-1793150620837881741",
    "evidence_file": "/data/safety/Btike--bulk-bg-remove-claude-haiku-5-5-1793150620837881741.json.gz"
  },
  "agent_execution": "native_agent",
  "agent_runtime": "claude-code",
  "agent_runtime_version": "2.1.310 (Claude Code)",
  "tool_transport": "mcp-assigned-vm",
  "platform": "linux",
  "reasoning": "low",
  "service_tier": null,
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "native_tool_calls": 18,
  "native_bundle": null,
  "architecture": null,
  "backend": "hyperv",
  "platform_details": {
    "backend": "hyperv",
    "os": "linux"
  },
  "platform_conflicts": null,
  "sandbox_source": null,
  "source_pin": {
    "commit": "6f4f721e9b6b6cc959081cdc28f7381460a37404",
    "url": "https://github.com/Btike/bulk-bg-remove"
  },
  "purpose": "initial",
  "profile": {
    "model": "claude-haiku-5-5",
    "reasoning": "low"
  },
  "fault": {
    "owner": null,
    "status": "resolved",
    "reason": null
  },
  "fix_id": null,
  "verifies_run_id": null,
  "hosting": null,
  "operation_scope": "product operation",
  "tool_calls": 18,
  "guest_setup": null,
  "runtime": null,
  "runtime_version": null,
  "runtime_revision": null,
  "source_revision": null,
  "evidence_version": null,
  "failure_origin": null,
  "evidence_strength": "readme_checked",
  "works": "yes",
  "install_s": null,
  "first_use_s": null,
  "mcp": "none",
  "needs": [],
  "needs_which": null,
  "agent_interface": [
    "cli"
  ],
  "license": "MIT",
  "repo_url": "https://github.com/Btike/bulk-bg-remove",
  "cost_to_try": "free",
  "hardware": null,
  "what_failed": null,
  "local_or_hosted": "local",
  "cycle_checks": [
    {
      "kind": "cycle",
      "claim": "Scheduled or looping main behavior",
      "source": "repository entry points",
      "input": "source inspection",
      "expected": "identify the product trigger",
      "verdict": "yes",
      "outcome": "Entry points inspected (README, src/bulk_bg_remove cli.py and the ui server). The product is a one-shot CLI run per folder; no cron, scheduler, --once/--now, or webhook loop was found. The only while-True loop is the local UI server's event stream (src/bulk_bg_remove/ui/server.py:343), which is not a product cycle.",
      "evidence": "Entry points inspected (README, src/bulk_bg_remove cli.py and the ui server). The product is a one-shot CLI run per folder; no cron, scheduler, --once/--now, or webhook loop was found. The only while-True loop is the local UI server's event stream (src/bulk_bg_remove/ui/server.py:343), which is not a product cycle.",
      "command": ""
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "Each photo is cut out into a new output folder (tested with -o, since the default <name>-no-bg location is not an argv destination)",
      "source": "Output goes to a new `<name>-no-bg/` folder next to the input.",
      "input": "<guest-path>",
      "expected": "one image processed into the new folder <guest-path>",
      "command": "<guest-path> <guest-path> -o <guest-path> -y",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: 1 done",
      "evidence": "\u20261 done \u00b7 0 failed \u00b7 0 already done \u00b7 13s\n               ! showcase.png: edge <email> MP to fit free RAM\n               output \u2192 \n<guest-path>\n",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    },
    {
      "kind": "claim",
      "claim": "--dry-run --json plans the run as JSON with the model chosen",
      "source": "scan and plan only; one JSON event per line for agents",
      "input": "<guest-path>",
      "expected": "JSON plan event naming the auto-chosen model silueta",
      "command": "<guest-path> <guest-path> --dry-run --json",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: \"model\": \"silueta\"",
      "evidence": "\u2026\"model\": \"silueta\", \"model_choice\": {\"profile\": \"uniform\", \"model\": \"silueta\", \"score\": 8.1, \"best_model\": \"birefnet-general-lite\", \"best_score\": 8.6, \"best_needs_gb\": 11.7, \"needs_gb\": 3.0, \"fits\": true, \"gap\": 0.5}, \"edges\": \"matte\", \"output_format\": \"png\", \"finish\": null, \"already_done\": 0}\n",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    },
    {
      "kind": "claim",
      "claim": "--shop plans a white square 2000 px JPEG output",
      "source": "`--shop` puts every product on white, square, 2000 px and ready to",
      "input": "<guest-path>",
      "expected": "plan with output_format jpg",
      "command": "<guest-path> <guest-path> --shop --dry-run --json",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: \"output_format\": \"jpg\"",
      "evidence": "\u2026\"output_format\": \"jpg\", \"finish\": {\"background\": \"#FFFFFF\", \"square\": true, \"pad\": 7.5, \"size\": 2000}, \"already_done\": 0}\n",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "Documented folder run with --format webp for smaller lossless files",
      "source": "README.md Options table: --format webp|jpg",
      "input": "<guest-path> --format webp",
      "command": "<guest-path> <guest-path> -o <guest-path> --format webp -y",
      "evidence": " by RAM) \u00b7 \nETA ~2s\n               model silueta \u00b7 edges matte \u00b7 needs 3.0 GB free RAM\n               auto: silueta fits your free RAM (8.1/10 on uniform images; best \nbirefnet-general-lite 8.6)\n               output \u2192 \n<guest-path>\n [3/4 RUN]     loading model in each worker\u2026\n               worker 0 ready\n               \u2713 demo.webp  1280\u00d7720  1.6s\n\n [4/4 VERIFY]  checking 1 outputs\u2026\n               GAME CLEAR \u00b7 1 done \u00b7 0 failed \u00b7 0 already done \u00b7 5s\n               output \u2192 \n<guest-path>",
      "deferred": false,
      "expected": "one image processed into <guest-path> as webp",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    }
  ],
  "does_what_it_says": "yes",
  "maintenance": {
    "last_commit_at": "2026-10-27T23:25:28Z",
    "commits_90d": 36,
    "merged_prs_90d": 2,
    "open_issues": 0,
    "open_prs": 0,
    "reply_share": null,
    "reply_threads": 0,
    "median_reply_hours": null,
    "last_release_at": null,
    "archived": false,
    "verdict": "maintained",
    "note": "actively maintained: last commit 0 days ago; 36 commits and 2 merged PRs in 90 days; 0 open issues, 0 open PRs; no releases"
  },
  "maintenance_verdict": "maintained",
  "maintenance_note": "actively maintained: last commit 0 days ago; 36 commits and 2 merged PRs in 90 days; 0 open issues, 0 open PRs; no releases",
  "maintained": "active",
  "maintained_note": "last commit 0 days ago",
  "last_commit_at": "2026-10-27T23:26:01Z",
  "last_release_at": null,
  "open_issues": null,
  "answered_issues": null,
  "platforms_claimed": [
    "linux",
    "mac",
    "windows"
  ],
  "topic": "agent-harness",
  "agent_interfaces": [
    {
      "interface": "cli",
      "evidence": "independent checker",
      "observed": true,
      "operation_checked": true
    }
  ],
  "agent_interfaces_note": "README metadata is a discovery hint, not pinned documentation proof. Observed interfaces were exercised in this run. An empty list means unknown.",
  "mcp_context": null,
  "tested_at": "2026-10-28T01:30:48.756289+00:00",
  "tested_commit": "6f4f721e9b6b6cc959081cdc28f7381460a37404",
  "tested_with": {
    "agent": "claude-code",
    "agent_version": "2.1.310 (Claude Code)",
    "model": "claude-haiku-5-5",
    "model_route": "claude-haiku-5-5",
    "reasoning": "low",
    "os": "linux",
    "backend": "hyperv",
    "transport": "mcp-assigned-vm"
  },
  "setup_identity": {
    "repo": "Btike/bulk-bg-remove",
    "source": "https://github.com/Btike/bulk-bg-remove",
    "commit": "6f4f721e9b6b6cc959081cdc28f7381460a37404",
    "source_revision": null,
    "os": "linux",
    "architecture": null,
    "backend": "hyperv",
    "model": "claude-haiku-5-5",
    "model_version": "claude-haiku-5-5",
    "agent_execution": "native_agent",
    "agent_runtime": "claude-code",
    "agent_runtime_version": "2.1.310 (Claude Code)",
    "tool_transport": "mcp-assigned-vm",
    "runtime": null,
    "runtime_version": null,
    "runtime_revision": null,
    "sandbox_source": null,
    "guest_setup": null,
    "source_pin": {
      "commit": "6f4f721e9b6b6cc959081cdc28f7381460a37404",
      "url": "https://github.com/Btike/bulk-bg-remove"
    },
    "platform_details": {
      "os": "linux",
      "backend": "hyperv"
    },
    "platform_conflicts": null,
    "reasoning": "low",
    "service_tier": null,
    "resources": {
      "cpus": 2,
      "memory_mib": 4096,
      "disk_mib": 32768
    },
    "operation": "Remove backgrounds from every photo in a folder with the bulk-bg-remove CLI, writing a new output folder with cut-out PNGs",
    "operation_scope": "product operation",
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