{
  "run_id": "GaspardMerten--microsegments-gpt-6-luna-1793126373073382931",
  "date": "2026-10-27T18:41:59.816320+00:00",
  "repo": "GaspardMerten/microsegments",
  "kind": "repo",
  "source": "https://github.com/GaspardMerten/microsegments",
  "commit": "ceada544d6c01c212850253a531c5ca8e473601d",
  "model": "gpt-6-luna",
  "model_version": "gpt-6-luna",
  "test_version": "readme-de82cdff1b18146cdadbe10eaf1e247eee23d0a80cd993653720cd011fb82631",
  "pass": true,
  "outcome": "pass",
  "time_to_working_s": 121.1933984740026,
  "total_s": 146.74288773536682,
  "steps": [
    "pwd; git status --short --branch; git rev-parse HEAD; python3 --version; sed -n '1,240p' README.md",
    "rg --files -g '!*cache*' | head -80; ls -la; cat examples/synth.toml; sed -n '1,240p' examples/make_synth.py",
    "python3 examples/make_synth.py",
    "python3 -m venv /tmp/microsegments-venv && /tmp/microsegments-venv/bin/python -m pip install '.[plot]'",
    "rm -rf examples/data /tmp/microsegments-run; /tmp/microsegments-venv/bin/python examples/make_synth.py && /tmp/microsegments-venv/bin/microsegments run examples/synth.toml -o /tmp/microsegments-run",
    "cat pyproject.toml; find .coldpass -maxdepth 2 -type f -print; python3 - <<'PY'\nimport json\np='/tmp/microsegments-run/analysis.json'\nd=json.load(open(p)); print(type(d).__name__, list(d)[:30] if isinstance(d,dict) else len(d)); print(json.dumps(d,ensure_ascii=False)[:1200])\nPY",
    "mkdir -p .coldpass; cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"/tmp/microsegments-venv/bin/microsegments\",\"run\",\"examples/synth.toml\",\"-o\",\"/tmp/microsegments-coldpass-output\"],\"cwd\":\"<guest-path>\",\"output_directory\":\"/tmp/microsegments-coldpass-output\",\"expected_text\":\"538 segments, 5 hotspots\"}\nEOF\ncat > .coldpass/claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"The offline synthetic-data quick start runs the analysis and produces its report artifacts.\",\"source\":\"microsegments run examples/synth.toml -o out/     # result.parquet, analysis.json, report.html, matrix_dir*.png\",\"input\":\"examples/synth.toml with generated synthetic data\",\"expected\":\"538 segments and 5 hotspots; analysis.json and report.html are produced\",\"probe_kind\":\"cli\",\"argv\":[\"/tmp/microsegments-venv/bin/microsegments\",\"run\",\"examples/synth.toml\",\"-o\",\"/tmp/microsegments-coldpass-claim-output\"],\"expected_text\":\"538 segments, 5 hotspots\",\"cwd\":\"<guest-path>\",\"output_directory\":\"/tmp/microsegments-coldpass-claim-output\"}]\nEOF\ncat > .coldpass/examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"README offline synthetic data quick start\",\"source\":\"README.md / Quick start (offline, synthetic data)\",\"input\":\"Synthetic S1 data generated with the documented script; examples/synth.toml\",\"expected\":\"Analysis completes and writes result.parquet, analysis.json, report.html and matrix images\",\"argv\":[\"/tmp/microsegments-venv/bin/microsegments\",\"run\",\"examples/synth.toml\",\"-o\",\"/tmp/microsegments-coldpass-example-output\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"538 segments, 5 hotspots\",\"output_directory\":\"/tmp/microsegments-coldpass-example-output\"}]\nEOF\ncat > .coldpass/cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"README and CLI entry points describe batch analysis commands (run, tune, hotspots, inspect, compare, sensitivity-table); no scheduled or recurring product cycle is documented.\",\"checks\":[]}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"Run synthetic S1 analysis using the documented CLI\",\"operation_scope\":\"Python 3.12.3; install microsegments[plot] in /tmp/microsegments-venv, generate examples/data with that venv Python, then run microsegments run examples/synth.toml\",\"steps\":[\"python3 -m venv /tmp/microsegments-venv\",\"/tmp/microsegments-venv/bin/python -m pip install '.[plot]'\",\"/tmp/microsegments-venv/bin/python examples/make_synth.py\",\"/tmp/microsegments-venv/bin/microsegments run examples/synth.toml -o /tmp/microsegments-run\"],\"deviations\":[\"Reproduced the test environment defect once: python3 examples/make_synth.py failed with ModuleNotFoundError: No module named 'microsegments'. Re-running the documented generator with the installed virtual environment Python succeeded.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\ncat > .coldpass/claims.json.tmp <<'EOF'\nEOF\n",
    "rm -f .coldpass/claims.json.tmp; rm -rf /tmp/microsegments-coldpass-output /tmp/microsegments-coldpass-claim-output /tmp/microsegments-coldpass-example-output; <env-var>=<guest-path> python3 -I <guest-path> --validate --replay"
  ],
  "stuck_step": null,
  "error_excerpt": null,
  "what_it_did": "Run synthetic S1 analysis using the documented CLI",
  "suggested_fix": null,
  "tokens_in": 165506,
  "tokens_out": 1743,
  "cost_usd": null,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [
          "/tmp/microsegments-venv/bin/microsegments",
          "run",
          "examples/synth.toml",
          "-o",
          "/tmp/microsegments-coldpass-output"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "/tmp/microsegments-coldpass-output/result.parquet\n/tmp/microsegments-coldpass-output/cube.parquet\n/tmp/microsegments-coldpass-output/excluded_days.parquet\n/tmp/microsegments-coldpass-output/versions.parquet\n/tmp/microsegments-coldpass-output/coverage.parquet\n/tmp/microsegments-coldpass-output/hotspots.parquet\n/tmp/microsegments-coldpass-output/hotspots.geojson\n/tmp/microsegments-coldpass-output/analysis.json\n/tmp/microsegments-coldpass-output/report.html\n/tmp/microsegments-coldpass-output/matrix_dir0.png\n/tmp/microsegments-coldpass-output/matrix_dir1.png",
        "stderr": "observations: 201,368 rows\nnetwork: 6 patterns over 15 dates\nplaced: 235,639 rows\nanalysis: 15 days included, 0 excluded\nhotspots: 5\ndone: 15 days, 538 segments, 5 hotspots (read 0.1s coverage 0.1s network 0.1s place 0.4s passages 0.4s count 0.1s analyse 0.1s hotspots 0.1s)",
        "needs_credentials": false,
        "needs_browser": false,
        "scope": "product operation"
      }
    }
  ],
  "safety": {
    "version": "z2x-1",
    "rules_version": "z2x-1",
    "summary": "Review signals: 46 known vulnerability.",
    "expected": "Reviewed as expected for a test run: attempted writes that failed, so nothing was written.",
    "findings": [
      {
        "kind": "known-vulnerability",
        "count": 46,
        "note": "OSV reports a known vulnerability in this dependency version.",
        "location_count": 2
      }
    ],
    "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=GaspardMerten--microsegments-gpt-6-luna-1793126373073382931",
    "evidence_file": "/data/safety/GaspardMerten--microsegments-gpt-6-luna-1793126373073382931.json.gz"
  },
  "agent_execution": "native_agent",
  "agent_runtime": "codex",
  "agent_runtime_version": "codex-cli 0.164.0",
  "tool_transport": "mcp-assigned-vm",
  "platform": "linux",
  "reasoning": "low",
  "service_tier": "standard",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "native_tool_calls": 8,
  "native_bundle": null,
  "architecture": null,
  "backend": "hyperv",
  "platform_details": {
    "backend": "hyperv",
    "os": "linux"
  },
  "platform_conflicts": null,
  "sandbox_source": null,
  "source_pin": {
    "commit": "ceada544d6c01c212850253a531c5ca8e473601d",
    "url": "https://github.com/GaspardMerten/microsegments"
  },
  "purpose": "test_rerun",
  "profile": {
    "model": "gpt-6-luna",
    "reasoning": "low"
  },
  "fault": {
    "owner": null,
    "status": "resolved",
    "reason": null
  },
  "fix_id": null,
  "verifies_run_id": "GaspardMerten--microsegments-gpt-6-luna-1793119491024213227",
  "hosting": null,
  "operation_scope": "product operation",
  "tool_calls": 8,
  "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/GaspardMerten/microsegments",
  "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": "README and CLI entry points describe batch analysis commands (run, tune, hotspots, inspect, compare, sensitivity-table); no scheduled or recurring product cycle is documented.",
      "evidence": "README and CLI entry points describe batch analysis commands (run, tune, hotspots, inspect, compare, sensitivity-table); no scheduled or recurring product cycle is documented.",
      "command": ""
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "The offline synthetic-data quick start runs the analysis and produces its report artifacts.",
      "source": "microsegments run examples/synth.toml -o out/     # result.parquet, analysis.json, report.html, matrix_dir*.png",
      "input": "examples/synth.toml with generated synthetic data",
      "expected": "538 segments and 5 hotspots; analysis.json and report.html are produced",
      "command": "/tmp/microsegments-venv/bin/microsegments run examples/synth.toml -o /tmp/microsegments-coldpass-claim-output",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: 538 segments, 5 hotspots",
      "evidence": "538 segments, 5 hotspots (read 0.2s coverage 0.1s network 0.2s place 0.4s passages 0.4s count 0.1s analyse 0.1s hotspots 0.1s)\n",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "README offline synthetic data quick start",
      "source": "README.md / Quick start (offline, synthetic data)",
      "input": "Synthetic S1 data generated with the documented script; examples/synth.toml",
      "command": "/tmp/microsegments-venv/bin/microsegments run examples/synth.toml -o /tmp/microsegments-coldpass-example-output",
      "evidence": "ass-example-output/hotspots.parquet\n/tmp/microsegments-coldpass-example-output/hotspots.geojson\n/tmp/microsegments-coldpass-example-output/analysis.json\n/tmp/microsegments-coldpass-example-output/report.html\n/tmp/microsegments-coldpass-example-output/matrix_dir0.png\n/tmp/microsegments-coldpass-example-output/matrix_dir1.png\nobservations: 201,368 rows\nnetwork: 6 patterns over 15 dates\nplaced: 235,639 rows\nanalysis: 15 days included, 0 excluded\nhotspots: 5\ndone: 15 days, 538 segments, 5 hotspots (read 0.2s coverage 0.2s network 0.1s place 0.4s passages 0.4s count 0.1s analyse 0.1s hotspots 0.1s)",
      "deferred": false,
      "expected": "Analysis completes and writes result.parquet, analysis.json, report.html and matrix images",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    }
  ],
  "does_what_it_says": "yes",
  "maintenance": {
    "archived": false,
    "commits_90d": 38,
    "last_commit_at": "2026-10-27T07:25:09Z",
    "last_release_at": "2026-10-27T07:25:12Z",
    "median_reply_hours": null,
    "merged_prs_90d": 0,
    "note": "actively maintained: last commit 0 days ago; 38 commits and 0 merged PRs in 90 days; 0 open issues, 0 open PRs; latest release 2026-10-27",
    "open_issues": 0,
    "open_prs": 0,
    "reply_share": null,
    "reply_threads": 0,
    "verdict": "maintained"
  },
  "maintenance_verdict": "maintained",
  "maintenance_note": "actively maintained: last commit 0 days ago; 38 commits and 0 merged PRs in 90 days; 0 open issues, 0 open PRs; latest release 2026-10-27",
  "maintained": "active",
  "maintained_note": "last commit 0 days ago",
  "last_commit_at": "2026-10-27T07:25:12Z",
  "last_release_at": "2026-10-27T07:25:12Z",
  "open_issues": null,
  "answered_issues": null,
  "platforms_claimed": [
    "linux"
  ],
  "topic": "other",
  "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": "2026-10-27T18:41:59.816320+00:00",
  "tested_commit": "ceada544d6c01c212850253a531c5ca8e473601d",
  "tested_with": {
    "agent": "codex",
    "agent_version": "codex-cli 0.164.0",
    "model": "gpt-6-luna",
    "model_route": "gpt-6-luna",
    "reasoning": "low",
    "os": "linux",
    "backend": "hyperv",
    "transport": "mcp-assigned-vm"
  },
  "setup_identity": {
    "repo": "GaspardMerten/microsegments",
    "source": "https://github.com/GaspardMerten/microsegments",
    "commit": "ceada544d6c01c212850253a531c5ca8e473601d",
    "source_revision": null,
    "os": "linux",
    "architecture": null,
    "backend": "hyperv",
    "model": "gpt-6-luna",
    "model_version": "gpt-6-luna",
    "agent_execution": "native_agent",
    "agent_runtime": "codex",
    "agent_runtime_version": "codex-cli 0.164.0",
    "tool_transport": "mcp-assigned-vm",
    "runtime": null,
    "runtime_version": null,
    "runtime_revision": null,
    "sandbox_source": null,
    "guest_setup": null,
    "source_pin": {
      "commit": "ceada544d6c01c212850253a531c5ca8e473601d",
      "url": "https://github.com/GaspardMerten/microsegments"
    },
    "platform_details": {
      "os": "linux",
      "backend": "hyperv"
    },
    "platform_conflicts": null,
    "reasoning": "low",
    "service_tier": "standard",
    "resources": {
      "cpus": 2,
      "memory_mib": 4096,
      "disk_mib": 32768
    },
    "operation": "Run synthetic S1 analysis using the documented CLI",
    "operation_scope": "product operation",
    "hosting": null,
    "kind": "repo",
    "test_version": "readme-de82cdff1b18146cdadbe10eaf1e247eee23d0a80cd993653720cd011fb82631",
    "evidence_version": null
  },
  "transcript_url": "/transcripts/GaspardMerten--microsegments-gpt-6-luna-1793126373073382931.txt",
  "report_url": "/reports/GaspardMerten--microsegments-gpt-6-luna-1793126373073382931.json"
}