{ "run_id": "girder--large_image-claude-haiku-5-5-1793111945401386962", "date": "2026-10-27T14:48:50.342661+00:00", "repo": "girder/large_image", "kind": "repo", "source": "https://github.com/girder/large_image", "commit": "c76b5a3000b2a2780dfc090e53b1b680fbada7f5", "model": "claude-haiku-5-5", "model_version": "claude-haiku-5-5", "test_version": "readme-d5b140d3c0f8b95c2dd6fe6fc381a303cacb92679582c22317d8e78b572f0cf2", "pass": true, "outcome": "pass", "time_to_working_s": 523.9803677999998, "total_s": 584.941220998764, "steps": [ "cd && pwd && ls -la && id -u && python3 --version && (git -C . rev-parse HEAD 2>&1 | head -1) && ls /inputs 2>&1 | head", "cd && wc -c README* 2>/dev/null; head -c 6000 README.md 2>/dev/null", "cd && cat README.rst", "cd && ls -la .coldpass; grep -n -i \"python_requires\\|requires-python\" setup.py pyproject.toml; ls large_image; sed -n 1,40p large_image/cli.py 2>/dev/null | head -5; ls large_image/tilesource | head -3; ls utilities examples | head -40", "cd /tmp && (python3 -m venv --help >/dev/null 2>&1 && echo venv_ok || (sudo -n apt-get -o DPkg::Lock::Timeout=300 install -y python3-venv >/tmp/venv_install.log 2>&1; echo \"apt rc=$?\"; tail -3 /tmp/venv_install.log)); python3 -m venv && --version && --version", "cd /tmp && timeout 7000 install \"large-image[common]\" > 2>&1; echo rc=$?; tail -15 ", "cd && grep -rn \"entry_points\\|console_scripts\" -A6 setup.py | head -30; ls utilities/converter; grep -n \"def main\\|argparse\\|add_argument('--\" utilities/converter/large_image_converter/__init__.py 2>/dev/null | head -20; ls | grep -i \"large\\|convert\"", "cd && grep -rn \"scripts\\|entry\" utilities/converter/setup.py utilities/converter/pyproject.toml | head; ls utilities/converter/large_image_converter; grep -n \"add_argument\" utilities/converter/large_image_converter/__main__.py 2>/dev/null | head -5; grep -n \"\\-\\-\" utilities/converter/README.rst | head -40", "cd && sed -n 1,80p utilities/converter/README.rst", "cd /tmp && timeout 7000 install \"large-image[converter]\" \"large-image-converter\" > 2>&1; echo rc=$?; tail -4 | cut -c1-600; ls | grep -i convert; which vips gdal_translate; -c \"import pyvips\" 2>&1 | tail -1", "sudo -n apt-get -o DPkg::Lock::Timeout=300 update > 2>&1; echo upd=$?; sudo -n apt-get -o DPkg::Lock::Timeout=300 install -y libvips42t64 libvips-tools > 2>&1; echo inst=$?; tail -3 ; -c \"import pyvips; print('pyvips ok', pyvips.version(0))\" 2>&1 | tail -1", "cd /tmp && --help 2>&1 | head -60; find -iname \"*.png\" -o -iname \"*.jpg\" -o -iname \"*.tif*\" -o -iname \"*.svs\" 2>/dev/null | head", "mkdir -p && cp && cd && ; echo rc=$?; ls -la ", "cd && --verbose ; echo rc=$?; ls ; -c \"\nimport large_image\nts = large_image.open('')\nm = ts.getMetadata()\nprint('levels', m['levels'], 'tile', m['tileWidth'], m['tileHeight'], 'size', m['sizeX'], m['sizeY'])\n\" 2>&1 | tail -3", "ls 2>&1; grep -n \"expected_text\" | head -20; grep -n \"stderr\" | head -10", "sed -n 750,800p ", "grep -n \"README\\|source_file\" | head -30", "cd && grep -nF \"Convert to tiled Cloud Optimized (Geo)Tiffs (also known as pyramidal tiffs)\" README.rst; grep -nF \"Single-image non-geospatial files are converted into pyramidal tiff files via pyvips.\" utilities/converter/README.rst; grep -nF \"Convert a variety of images into the most efficient format for Large Image.\" utilities/converter/README.rst; file docs/static/K.png test/test_files/geotiff_9_89_207_py3.png; ls -la docs/static/K.png; python3 -c \"\nimport struct\nfor p in ['docs/static/K.png','test/test_files/geotiff_9_89_207_py3.png','test/test_files/test_RGBA_8.png']:\n d=open(p,'rb').read(32); print(p, struct.unpack('>II', d[16:24]))\"", "rm -f && cp && cd && --verbose --tile 64 ; echo rc=$?; -c \"\nimport large_image\nts = large_image.open('')\nm = ts.getMetadata()\nprint('levels', m['levels'], 'tile', m['tileWidth'], m['tileHeight'], 'size', m['sizeX'], m['sizeY'])\nprint('thumb', ts.getThumbnail(width=50, encoding='PNG')[0][:4])\n\" 2>&1 | tail -3", "rm -f && cd && cat > probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"\",\"--verbose\",\"--tile\",\"64\",\"\",\"\"],\"cwd\":\"\",\"expected_text\":\"Created ,\"}\nEOF\ncat > claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"Convert images to tiled pyramidal tiffs\",\"source\":\"Convert to tiled Cloud Optimized (Geo)Tiffs (also known as pyramidal tiffs)\",\"source_file\":\"README.rst\",\"input\":\"\",\"expected\":\"tiled pyramidal tiff written at the destination\",\"probe_kind\":\"cli\",\"argv\":[\"\",\"--verbose\",\"--tile\",\"64\",\"\",\"\"],\"cwd\":\"\",\"expected_text\":\"Created ,\"},\n{\"kind\":\"claim\",\"claim\":\"Single-image non-geospatial files become pyramidal tiff via pyvips\",\"source\":\"Single-image non-geospatial files are converted into pyramidal tiff files via pyvips.\",\"source_file\":\"utilities/converter/README.rst\",\"input\":\"\",\"expected\":\"pyramidal tiff written at the destination\",\"probe_kind\":\"cli\",\"argv\":[\"\",\"--verbose\",\"--tile\",\"64\",\"\",\"\"],\"cwd\":\"\",\"expected_text\":\"Created ,\"}]\nEOF\npython3 -m json.tool probe.json >/dev/null && python3 -m json.tool claims.json >/dev/null && echo json_ok; ls -la ", "cd && ls examples docs | head -40; grep -rln -i \"cron\\|--once\\|scheduler\\|webhook\" --include=*.py --include=*.rst --include=*.md . 2>/dev/null | grep -v test/ | head; sed -n 1,30p examples/average_color.py", "cd && grep -n \"large_image_converter\\|::$\" docs/image_conversion.rst | head -20; grep -n \"large_image_converter\" -A3 docs/*.rst | head -40", "mkdir -p && cp && cd && ; echo rc=$?; ls -la ", "cd && strings -n 6 K.tiff | head -30; python3 -c \"\nd=open('K.tiff','rb').read(); import re\nprint(len(d)); print([m.group(0)[:80] for m in re.finditer(rb'[ -~]{12,}', d)][:10])\"", "rm -f && cd && cat > examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Quickstart: convert an image with the default output next to the source\",\"source\":\"utilities/converter/README.rst\",\"input\":\"\",\"expected\":\"K.tiff written next to the source with the image size in its metadata\",\"argv\":[\"\",\"\"],\"cwd\":\"\",\"expected_file\":\"\",\"expected_text\":\"\\\"sizeX\\\":200,\\\"sizeY\\\":200\"},\n{\"kind\":\"example\",\"claim\":\"Python convert() API from the converter README\",\"source\":\"utilities/converter/README.rst\",\"reason\":\"The README gives only a Python snippet (from large_image_converter import convert; convert()), which is agent-written code and not a documented command-line entry point. Ran the documented command-line quickstart instead, in the example above.\"}]\nEOF\ncat > cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Inspected README.rst and utilities/converter/README.rst and the converter entry point (large_image_converter = large_image_converter.__main__:main). No cron, scheduler, polling loop, webhook, --once or --now behavior is documented; the converter runs once per invocation and exits.\",\"checks\":[]}\nEOF\npython3 -m json.tool examples.json >/dev/null && python3 -m json.tool cycles.json >/dev/null && echo ok; ls ", "cd && = timeout 900 python3 -I --validate --replay > 2>&1; echo rc=$?; tail -c 5000 ", "cd && cat > examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Quickstart: convert an image to a tiled tiff given the source and an output path\",\"source\":\"utilities/converter/README.rst\",\"input\":\"\",\"expected\":\"tiled tiff written silently at the output path with the image size in its metadata\",\"argv\":[\"\",\"\",\"\"],\"cwd\":\"\",\"expected_file\":\"\",\"expected_text\":\"\\\"sizeX\\\":200,\\\"sizeY\\\":200\"},\n{\"kind\":\"example\",\"claim\":\"Python convert() API from the converter README\",\"source\":\"utilities/converter/README.rst\",\"reason\":\"The README gives only a Python snippet (from large_image_converter import convert; convert()), which is agent-written code and not a documented command-line entry point. Ran the documented command-line form instead, in the example above.\"}]\nEOF\npython3 -m json.tool examples.json >/dev/null && echo ok; cd && = timeout 900 python3 -I --validate --replay > 2>&1; echo rc=$?; python3 -c \"\nimport json;d=json.loads(open('').read().split('\\n',1)[1]) if False else None\" ; tail -c 1800 ", "cd && python3 -c \"\nimport json\nt=open('').read()\ni=t.index('{')\nd=json.loads(json.loads('\\\"'+'')) if False else None\nimport re\nprint(t[:600])\n\" ; grep -o '\"valid\": [a-z]*' ; grep -o '\"problems\": \\[[^]]*\\]' | head -c 1500; echo; grep -o '\"status\": \"[A-Z]*\"' ", "rm -f && ls -la && cd && = timeout 900 python3 -I --validate --replay > 2>&1; echo rc=$?; grep -o '\"valid\": [a-z]*' ; grep -o '\"problems\": \\[[^]]*\\]' | head -c 800; echo; grep -o '\"status\": \"[A-Z]*\"' ; grep -o '\"verdict\": \"[a-z]*\"' ", "cd && cat > report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"Convert a PNG image into a tiled pyramidal TIFF with the large_image_converter command and read the result back through large_image (3 levels, 64px tiles, 200x200 size).\",\"operation_scope\":\"Linux guest, Python 3.12.3 in , large-image 1.35.6 and large-image-converter 1.35.6 from PyPI, libvips 8.15 system library (for pyvips); GDAL not installed (only needed for geospatial inputs). Probe, claims and example all use the documented large_image_converter CLI; claims cover the README.rst highlight and utilities/converter/README.rst pyvips sentence.\",\"steps\":[\"pip install \\\"large-image[common]\\\" (README.rst Installation > Pip; Python 3.12.3 meets python_requires>=3.10)\",\"pip install \\\"large-image[converter]\\\" \\\"large-image-converter\\\" (README.rst Modules > converter extra; utilities/converter/README.rst Installation)\",\"sudo apt-get -o DPkg::Lock::Timeout=300 install -y libvips42t64 libvips-tools (required by pyvips; import failed with missing libvips.so.42)\",\"large_image_converter --help (setup only)\",\"large_image_converter --verbose --tile 64 docs/static/K.png .tiff (probe and claims)\",\"large_image_converter (quickstart example, silent, expected file checked for sizeX/sizeY metadata)\"],\"deviations\":[\"Installed the PyPI releases of large-image and large-image-converter (1.35.6) using the README's documented pip commands instead of building the pinned commit c76b5a3000b2a2780dfc090e53b1b680fbada7f5 from the workspace; the workspace is not a git repository, so the git init/fetch/reset pin step was not run.\",\"Installed libvips42t64 and libvips-tools with apt-get, which the README does not list explicitly; the converter could not load pyvips without them.\",\"The README's Python snippet convert() was not run as it is not a command-line entry point; the documented CLI was used instead (recorded as a reason-only example).\",\"Converter uses no GDAL here (warning 'Cannot import GDAL.' printed); this only affects geospatial inputs, which were not tested.\",\"Validation used because /inputs/coldpass-preflight.py does not exist in this guest.\",\"Validation was rerun once after removing the outputs of the first replay, because the converter refuses to overwrite an existing output file (replay needs fresh paths).\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\npython3 -m json.tool report.json >/dev/null && echo report_ok; ls ", "cd && = timeout 900 python3 -I --validate --replay > 2>&1; echo rc=$?; grep -o '\"valid\": [a-z]*' ; grep -o '\"status\": \"[A-Z]*\"' ; rm -f ; ls -la ; ls -la ; ls | grep -i report", "cd && ls && = timeout 900 python3 -I --validate --replay > 2>&1; echo rc=$?; grep -o '\"valid\": [a-z]*' ; grep -o '\"status\": \"[A-Z]*\"' ; rm -f ; ls " ], "stuck_step": null, "error_excerpt": null, "what_it_did": "Convert a PNG image into a tiled pyramidal TIFF with the large_image_converter command and read the result back through large_image (3 levels, 64px tiles, 200x200 size).", "suggested_fix": null, "tokens_in": 947508, "tokens_out": 22415, "cost_usd": 0.030239829999999995, "usage_complete": true, "checks": [ { "check": "operation", "status": "PASS", "details": { "working": true, "argv": [ "", "--verbose", "--tile", "64", "", "" ], "kind": "cli", "returncode": 0, "stdout": "", "stderr": "Cannot import GDAL.\nInput: , Output: /tmp/tmpr85r1z08/probe_K_tiled.tiff-20261027-144823.tiff, Options: {'tile': True, 'tile_width': 64, 'tile_height': 64, 'pyramid': True, 'bigtiff': True, 'compression': 'lzw', 'Q': 90, 'predictor': 'horizontal'}\nCreated , 31894 bytes, 2.5 s", "needs_credentials": false, "needs_browser": false, "scope": "product operation" } } ], "safety": { "version": "z2x-1", "rules_version": "z2x-1", "summary": "Review signals: 72 known vulnerability.", "findings": [ { "kind": "known-vulnerability", "count": 18, "note": "OSV reports a known vulnerability in this dependency version.", "location_count": 1, "path": "pip" } ], "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=girder--large_image-claude-haiku-5-5-1793111945401386962", "evidence_file": "/data/safety/girder--large_image-claude-haiku-5-5-1793111945401386962.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": 32, "native_bundle": null, "architecture": null, "backend": "hyperv", "platform_details": { "backend": "hyperv", "os": "linux" }, "platform_conflicts": null, "sandbox_source": null, "source_pin": { "commit": "c76b5a3000b2a2780dfc090e53b1b680fbada7f5", "url": "https://github.com/girder/large_image" }, "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": 32, "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": "Apache-2.0", "repo_url": "https://github.com/girder/large_image", "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": "Inspected README.rst and utilities/converter/README.rst and the converter entry point (large_image_converter = large_image_converter.__main__:main). No cron, scheduler, polling loop, webhook, --once or --now behavior is documented; the converter runs once per invocation and exits.", "evidence": "Inspected README.rst and utilities/converter/README.rst and the converter entry point (large_image_converter = large_image_converter.__main__:main). No cron, scheduler, polling loop, webhook, --once or --now behavior is documented; the converter runs once per invocation and exits.", "command": "" } ], "claims": [ { "kind": "claim", "claim": "Convert images to tiled pyramidal tiffs", "source": "Convert to tiled Cloud Optimized (Geo)Tiffs (also known as pyramidal tiffs)", "input": "", "expected": "tiled pyramidal tiff written at the destination", "command": " --verbose --tile 64 ", "verdict": "yes", "outcome": "Real input produced the expected result: Created ,", "evidence": "Created , 31894 bytes, 2.4 s\n", "returncode": 0, "source_checked": true, "source_file": "README.rst" }, { "kind": "claim", "claim": "Single-image non-geospatial files become pyramidal tiff via pyvips", "source": "Single-image non-geospatial files are converted into pyramidal tiff files via pyvips.", "input": "", "expected": "pyramidal tiff written at the destination", "command": " --verbose --tile 64 ", "verdict": "yes", "outcome": "Real input produced the expected result: Created ,", "evidence": "Created , 31894 bytes, 2.6 s\n", "returncode": 0, "source_checked": true, "source_file": "utilities/converter/README.rst" } ], "claims_note": null, "example_checks": [ { "kind": "example", "claim": "Quickstart: convert an image to a tiled tiff given the source and an output path", "source": "utilities/converter/README.rst", "input": "", "command": " ", "evidence": "\b\ufffd6\ufffd\ufffd\ufffdb`\ufffd\ufffdy\ufffd\ufffd\u0000\u001d\ufffd1\ufffd\b.5\ufffd)j\ufffd8C\ufffdN\b\ufffd@\u0003\ufffd\u00100\ufffdEB\u000e\ufffdT\u0000\u0004\ufffd\u000f\ufffd\u0006\u0015\ufffd\u001c\ufffdE[\ufffd>\ufffd\tY\ufffd\u000e \u0011\ufffd\ufffd;\u0000\ufffd\u0014A`\ufffda\ufffd-\ufffd\ufffdQ\ufffd\ufffdSI\u0010\ufffd\ufffd\u6b4b\u001e\ufffdcX\ufffd\ufffd\ufffd{\r\ufffd\ufffd\ufffd-&/Cn\u000b\ufffdU\u0000@\ufffd\u00028\u0007\u00018\b\u0002!\t-1\ufffdS\u0018\u0686\ufffd\u0702\ufffd\ufffdj\ufffd\ufffdl^\ufffdln\ufffdl~\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdm\u000e\ufffdm\u001e\ufffdm.\ufffdm>\ufffdmN\ufffdm^\ufffdmn\ufffdm~\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdn\u000e\ufffdn\u001e\ufffdn.\ufffdn>\ufffdnN\ufffdn^\ufffdnn\ufffdn~\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdo\u000e\ufffdo\u001e\ufffdo.\ufffdo>\ufffdoN\ufffdo^\ufffdon\ufffdo~\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\u0000p\u000f\u0001p\u001f\u0002p/\u0003p?\u0004pO\u0005p_\u0006po\u0007p\u007f\bp\ufffd\tp\ufffd\np\ufffd\u000bp\ufffd\fp\ufffd\rp\ufffd\u000ep\ufffd\u000fp\ufffd\ufffd\b\b\u0001\u0000\u0001\u0000\u0001\u0000\u0001\u0000\u0013\u0000\u0000\u0001\u0003\u0000\u0001\u0000\u0000\u0000\ufffd\u0000\u0000\u0000\u0001\u0001\u0003\u0000\u0001\u0000\u0000\u0000\ufffd\u0000\u0000\u0000\u0002\u0001\u0003\u0000\u0004\u0000\u0000\u0000\b\u0000\u0000\u0000\u0003\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0006\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000\u000e\u0001\u0002\u0000\ufffd\u0001\u0000\u0000\u0010\u0000\u0000\u0000\u0012\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0015\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0004\u0000\u0000\u0000\u001a\u0001\u0005\u0000\u0001\u0000\u0000\u0000\ufffd\u0001\u0000\u0000\u001b\u0001\u0005\u0000\u0001\u0000\u0000\u0000\ufffd\u0001\u0000\u0000\u001c\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000(\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000=\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000B\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0000\u0001\u0000\u0000C\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0000\u0001\u0000\u0000D\u0001\u0004\u0000\u0001\u0000\u0000\u0000\ufffd\u0001\u0000\u0000E\u0001\u0004\u0000\u0001\u0000\u0000\u0000p'\u0000\u0000R\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000S\u0001\u0003\u0000\u0004\u0000\u0000\u0000*)\u0000\u0000\u0000\u0000\u0000\u0000", "deferred": false, "expected": "tiled tiff written silently at the output path with the image size in its metadata", "returncode": 0, "verdict": "yes", "outcome": "command completed successfully" }, { "kind": "example", "claim": "Python convert() API from the converter README", "source": "utilities/converter/README.rst", "input": "", "command": "", "evidence": "The README gives only a Python snippet (from large_image_converter import convert; convert()), which is agent-written code and not a documented command-line entry point. Ran the documented command-line form instead, in the example above.", "deferred": false, "expected": "documented command completes successfully", "verdict": "blocked", "outcome": "The README gives only a Python snippet (from large_image_converter import convert; convert()), which is agent-written code and not a documented command-line entry point. Ran the documented command-line form instead, in the example above." } ], "does_what_it_says": "yes", "maintenance": { "last_commit_at": "2026-10-27T12:10:39Z", "commits_90d": 60, "merged_prs_90d": 24, "open_issues": 49, "open_prs": 5, "reply_share": 0.77, "reply_threads": 13, "median_reply_hours": 15.4, "last_release_at": "2026-10-14T13:00:29Z", "archived": false, "verdict": "maintained", "note": "actively maintained: last commit 0 days ago; 60 commits and 24 merged PRs in 90 days; 49 open issues, 5 open PRs; 10 of 13 recent threads got a maintainer reply, median first reply 15.4h; latest release 2026-10-14" }, "maintenance_verdict": "maintained", "maintenance_note": "actively maintained: last commit 0 days ago; 60 commits and 24 merged PRs in 90 days; 49 open issues, 5 open PRs; 10 of 13 recent threads got a maintainer reply, median first reply 15.4h; latest release 2026-10-14", "maintained": "active", "maintained_note": "last commit 0 days ago; 0 open issues, 2 answered or closed", "last_commit_at": "2026-10-27T13:00:58Z", "last_release_at": "2026-10-14T13:00:29Z", "open_issues": 0, "answered_issues": 2, "platforms_claimed": [ "linux", "mac", "windows" ], "topic": "creative", "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": "2026-10-27T14:48:50.342661+00:00", "tested_commit": "c76b5a3000b2a2780dfc090e53b1b680fbada7f5", "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": "girder/large_image", "source": "https://github.com/girder/large_image", "commit": "c76b5a3000b2a2780dfc090e53b1b680fbada7f5", "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": "c76b5a3000b2a2780dfc090e53b1b680fbada7f5", "url": "https://github.com/girder/large_image" }, "platform_details": { "os": "linux", "backend": "hyperv" }, "platform_conflicts": null, "reasoning": "low", "service_tier": null, "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "operation": "Convert a PNG image into a tiled pyramidal TIFF with the large_image_converter command and read the result back through large_image (3 levels, 64px tiles, 200x200 size).", "operation_scope": "product operation", "hosting": null, "kind": "repo", "test_version": "readme-d5b140d3c0f8b95c2dd6fe6fc381a303cacb92679582c22317d8e78b572f0cf2", "evidence_version": null }, "other_model": null, "other_run_id": null, "models_agree": null, "furthest_model": null, "transcript_url": "/transcripts/girder--large_image-claude-haiku-5-5-1793111945401386962.txt", "report_url": "/reports/girder--large_image-claude-haiku-5-5-1793111945401386962.json" }