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  "tokens_out": 6465,
  "outcome": "unsupported",
  "suggested_fix": "Build the pinned commit per README 'Building from Source' (install cmake, ninja, vcpkg, gcc-12, write libsynapx/CMakeUserPresets.json with linux-release preset, then `make rebuild preset=ninja-release target=install` in libsynapx), or use a synapx release whose tensor() accepts lists; then add a CLI-style operation probe.",
  "cycle_checks": null,
  "fault": {
    "owner": "prerequisite",
    "status": "diagnosed",
    "reason": "The PyPI synapx 0.2.0 wheel does not match the README snippet, and the pinned source was not built, so the Quick Start's list-based tensor call fails. Probe has no CLI operation the checker accepts.",
    "evidence": []
  },
  "runtime_revision": null,
  "agent_execution": "native_agent",
  "time_to_working_s": null,
  "usage_complete": true,
  "runtime": null,
  "architecture": null,
  "local_or_hosted": null,
  "agent_interfaces_note": null,
  "platform_details": null,
  "platforms_claimed": null,
  "maintenance": null,
  "evidence_strength": null,
  "purpose": "initial",
  "topic": null,
  "needs_which": null,
  "tested_with": null,
  "native_bundle": null,
  "agent_runtime": "claude-code",
  "maintenance_note": null,
  "runtime_version": null,
  "does_what_it_says": null,
  "commit": "8f7bb1c532a3fd9838242044ac1ca5622b0c0483",
  "failure_origin": null,
  "stuck_step": "README 'Quick Start' (synapx.tensor with a Python list) on the PyPI wheel",
  "repo_url": null,
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  "checks": [
    {
      "status": "PASS",
      "details": {
        "working": false,
        "argv": [
          "/tmp/synvenv/bin/pip",
          "install",
          "synapx"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "Requirement already satisfied: synapx in ./synvenv/lib/python3.12/site-packages (0.2.0)\nRequirement already satisfied: torch<=2.7.0,>=2.4.0 in ./synvenv/lib/python3.12/site-packages (from synapx) (2.7.0)\nRequirement already satisfied: filelock in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (4.2.2)\nRequirement already satisfied: typing-extensions>=4.10.0 in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (4.16.0)\nRequirement already satisfied: setuptools in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (84.0.0)\nRequirement already satisfied: sympy>=1.13.3 in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (1.14.0)\nRequirement already satisfied: networkx in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (3.7)\nRequirement already satisfied: jinja2 in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (3.1.6)\nRequirement already satisfied: fsspec in ./synvenv/lib/python3.12/site-packages (from torch<=2.7.0,>=2.4.0->synapx) (2026.9.0)\nRequirement already satisfied: nvidia-cuda-nvrtc-cu12==12.6.77 in ./synvenv/lib/python3.12\n[excerpt truncated]",
        "stderr": "",
        "needs_credentials": false,
        "needs_browser": false,
        "scope": "partial: install"
      },
      "check": "install",
      "optional": false
    },
    {
      "status": "PASS",
      "details": {
        "working": false,
        "argv": [
          "/tmp/synvenv/bin/python",
          "-I",
          "-W",
          "ignore",
          "-c",
          "import synapx, synapx.nn; print('synapx', synapx.__version__)"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "synapx 0.2.0",
        "stderr": "",
        "needs_credentials": false,
        "needs_browser": false,
        "scope": "partial: start"
      },
      "check": "start",
      "optional": false
    }
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  "open_issues": null,
  "agent_runtime_version": "2.1.300 (Claude Code)",
  "verifies_run_id": null,
  "total_s": 422.5689125061035,
  "license": null,
  "tool_calls": 12,
  "model_version": "claude-haiku-5-5",
  "example_checks": [],
  "mcp": null,
  "other_model": null,
  "first_use_s": null,
  "native_tool_calls": 12,
  "last_commit_at": null,
  "source": "https://github.com/pgmesa/synapx",
  "models_agree": null,
  "maintenance_verdict": null,
  "cost_usd": 0.008595779999999999,
  "safety": null,
  "answered_issues": null,
  "what_failed": null,
  "steps": [
    "cd <host-path> && ls -la && cat README* 2>/dev/null | head -300",
    "cd <host-path> && git log -1 --format=%H 2>/dev/null; ls <host-path>; which node npm python3 pip3; node -v 2>/dev/null; echo \"CDP=$CDP_URL\"",
    "cat <host-path> | head -150; python3 --version; ls <host-path> 2>/dev/null; ls <host-path> <host-path>",
    "cd /tmp && python3 -m venv /tmp/synvenv 2>&1 | tail -3; /tmp/synvenv/bin/pip install -q --upgrade pip 2>&1 | tail -3; timeout 280 /tmp/synvenv/bin/pip install -q torch --index-url https://download.pytorch.org/whl/cpu 2>&1 | tail -5; echo rc=$?",
    "sudo apt-get update -qq >/dev/null 2>&1; sudo DEBIAN_FRONTEND=noninteractive apt-get install -y -qq python3-venv python3-pip >/tmp/apt.log 2>&1; echo apt=$?; rm -rf /tmp/synvenv; python3 -m venv /tmp/synvenv && /tmp/synvenv/bin/pip install -q --upgrade pip 2>&1 | tail -2; echo ok=$?",
    "cd /tmp && timeout 290 /tmp/synvenv/bin/pip install synapx 2>&1 | tail -8; echo rc=$?",
    "cd /tmp && cat > /tmp/qs.py <<'EOF'\nimport synapx\nimport synapx.nn as nn\nw = synapx.randn((3, 4), requires_grad=True)\nx = synapx.randn((2, 3), requires_grad=True)\nb = synapx.tensor([1.0, 2.0, 3.0, 4.0], requires_grad=True)\ny = synapx.matmul(x, w) + b\ny_slice = y[:, 1:3]\ny1, y2 = synapx.unbind(y_slice, dim=0)\nloss = (y1 * y2).sum()\nloss.backward()\nprint(f\"w.grad shape: {w.grad.shape}\")\nprint(f\"x.grad shape: {x.grad.shape}\")\nprint(f\"b.grad: {b.grad}\")\nwith synapx.no_grad():\n    print(f\"Inference (no gradients): {synapx.addmm(b, x, w)}\")\nclass SimpleNet(nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.linear1 = nn.Linear(784, 128)\n        self.linear2 = nn.Linear(128, 10)\n        self.relu = nn.ReLU()\n    def forward(self, x):\n        return self.linear2(self.relu(self.linear1(x)))\nprint(SimpleNet()(synapx.randn((32, 784))).shape)\nEOF\n/tmp/synvenv/bin/python -I /tmp/qs.py 2>&1 | tail -20; echo rc=$?; /tmp/synvenv/bin/python -c \"import synapx,sys;print(synapx.__version__ if hasattr(synapx,'__version__') else 'ok')\"",
    "cd <host-path> && grep -rn \"def tensor\" synapx/ | head; grep -n \"version\" pyproject.toml setup.py | head -5; ls synapx | head -30",
    "cd /tmp && sed -i 's/^b = synapx.tensor.*/b = synapx.randn((4,), requires_grad=True)/' /tmp/qs.py && /tmp/synvenv/bin/python -I -W ignore /tmp/qs.py 2>&1 | tail -12; echo rc=$?; /tmp/synvenv/bin/python -I -W ignore -c \"import synapx;print(synapx.tensor.__doc__[:300])\" 2>&1 | tail -5",
    "cd <host-path> && mkdir -p .coldpass && rm -f .coldpass/probe.json .coldpass/report.json && cat > .coldpass/probe.json <<'EOF'\n{\"checks\":[\n {\"check\":\"install\",\"kind\":\"cli\",\"argv\":[\"/tmp/synvenv/bin/pip\",\"install\",\"synapx\"],\"cwd\":\"/tmp\"},\n {\"check\":\"start\",\"kind\":\"cli\",\"argv\":[\"/tmp/synvenv/bin/python\",\"-I\",\"-W\",\"ignore\",\"-c\",\"import synapx, synapx.nn; print('synapx', synapx.__version__)\"],\"cwd\":\"/tmp\",\"expected_text\":\"synapx 0.2.0\"}\n]}\nEOF\n<env-var>=<host-path> python3 -I <host-path> --validate 2>&1 | tail -20",
    "cd <host-path> && cat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"blocked\",\n \"operation\":\"README Quick Start: synapx tensor/matmul/autograd/no_grad and nn.Module SimpleNet forward (executed manually, not as the probe)\",\n \"operation_scope\":\"Quick Start executed with synapx 0.2.0 from PyPI (README 'Installation'), not built from the pinned commit 8f7bb1c. The README snippet's synapx.tensor([1.0,2.0,3.0,4.0]) raises TypeError in 0.2.0 (accepts only TensorDataContainer); substituting synapx.randn((4,)) made the rest of the snippet succeed (grads shapes, no_grad addmm, SimpleNet output (32, 10)). Probe only covers install and import; the Quick Start is python code, not a CLI command, so no README CLI command exercises the product.\",\n \"steps\":[\"python3 -m venv /tmp/synvenv (apt python3-venv, python3-pip installed first)\",\"/tmp/synvenv/bin/pip install --upgrade pip\",\"/tmp/synvenv/bin/pip install synapx  (README Installation; pulled torch 2.7.0 CUDA wheels)\",\"Ran README Quick Start via /tmp/qs.py with randn substitution: rc=0\"],\n \"deviations\":[\"README Quick Start synapx.tensor(list) fails with TypeError on synapx 0.2.0 wheel; replaced with synapx.randn((4,)) for manual verification only.\",\"Did not build from source (README 'Building from Source' needs CMake, vcpkg, CMakeUserPresets.json, libtorch); pinned commit not compiled.\",\"Installed python3-venv and python3-pip via apt because the guest had no venv support.\"],\n \"stuck_step\":\"README 'Quick Start' (synapx.tensor with a Python list) on the PyPI wheel\",\n \"main_blocker\":\"The PyPI synapx 0.2.0 wheel does not match the README snippet, and the pinned source was not built, so the Quick Start's list-based tensor call fails. Probe has no CLI operation the checker accepts.\",\n \"suggested_fix\":\"Build the pinned commit per README 'Building from Source' (install cmake, ninja, vcpkg, gcc-12, write libsynapx/CMakeUserPresets.json with linux-release preset, then `make rebuild preset=ninja-release target=install` in libsynapx), or use a synapx release whose tensor() accepts lists; then add a CLI-style operation probe.\"}\nEOF\npython3 -m json.tool .coldpass/report.json >/dev/null && python3 -m json.tool .coldpass/probe.json >/dev/null && <env-var>=<host-path> python3 -I <host-path> --validate 2>&1 | tail -5; ps aux | grep -c \"[s]ynapx\"",
    "ps aux | grep \"[s]ynapx\"| cut -c1-200"
  ],
  "platform_conflicts": null,
  "claims_note": null,
  "maintained_note": null,
  "repo": "pgmesa/synapx",
  "service_tier": null,
  "maintained": null,
  "source_pin": null,
  "operation_scope": "partial checks",
  "reasoning": "low",
  "claims": [],
  "platform": "linux",
  "cost_to_try": null,
  "backend": null,
  "tool_transport": "mcp-assigned-vm",
  "hardware": null,
  "agent_interface": null,
  "profile": {
    "model": "claude-haiku-5-5",
    "reasoning": "low"
  },
  "date": "2026-10-18T18:48:10.091341+00:00",
  "kind": "repo",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "error_excerpt": "The PyPI synapx 0.2.0 wheel does not match the README snippet, and the pinned source was not built, so the Quick Start's list-based tensor call fails. Probe has no CLI operation the checker accepts.",
  "pass": null,
  "evidence_version": null,
  "source_revision": null,
  "run_id": "pgmesa--synapx-claude-haiku-5-5-1792348867522418262",
  "last_release_at": null,
  "furthest_model": null,
  "model": "claude-haiku-5-5",
  "what_it_did": "README Quick Start: synapx tensor/matmul/autograd/no_grad and nn.Module SimpleNet forward (executed manually, not as the probe)",
  "sandbox_source": null,
  "other_run_id": null,
  "hosting": null,
  "tested_commit": null,
  "guest_setup": null,
  "mcp_context": null,
  "agent_interfaces": [],
  "setup_identity": null,
  "works": null,
  "install_s": null,
  "fix_id": null,
  "tokens_in": 205607,
  "tested_at": null,
  "test_version": "readme-80bce05978a913d9396742111125106710e3c4b0dc4098ba6143b35960c73717",
  "recovery": {
    "source": "legacy-oct16-18",
    "original_run_id": "pgmesa--synapx-claude-haiku-5-5-1792348867522418262",
    "historical": true,
    "ledger_sha256": "c5e6a833c182c1e2aecf69d0bd0020aec63c65d98f3e933e4b32232340312736"
  },
  "transcript_url": "/transcripts/pgmesa--synapx-claude-haiku-5-5-1792348867522418262.txt",
  "report_url": "/reports/pgmesa--synapx-claude-haiku-5-5-1792348867522418262.json"
}