{
  "tokens_out": 6672,
  "outcome": "pass",
  "suggested_fix": null,
  "cycle_checks": null,
  "fault": {
    "owner": null,
    "status": "resolved",
    "reason": null,
    "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": "43c946739f6fe4f105f6f3c70d6051c205bc0a3e",
  "failure_origin": null,
  "stuck_step": null,
  "repo_url": null,
  "needs": null,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [],
        "kind": "mcp",
        "serverInfo": {
          "name": "DataGatherer",
          "version": "1.30.0"
        },
        "tools": [
          "process_url_mcp",
          "process_articles_mcp"
        ],
        "scope": "product operation"
      }
    }
  ],
  "open_issues": null,
  "agent_runtime_version": "2.1.300 (Claude Code)",
  "verifies_run_id": null,
  "total_s": 427.5831446647644,
  "license": null,
  "tool_calls": 15,
  "model_version": "claude-haiku-5-5",
  "example_checks": [],
  "mcp": null,
  "other_model": null,
  "first_use_s": null,
  "native_tool_calls": 15,
  "last_commit_at": null,
  "source": "https://github.com/VIDA-NYU/data-gatherer",
  "models_agree": null,
  "maintenance_verdict": null,
  "cost_usd": 0.009662829999999999,
  "safety": null,
  "answered_issues": null,
  "what_failed": null,
  "steps": [
    "cd <host-path> && git log -1 --format=%H 2>/dev/null; ls -la; cat README.md 2>/dev/null | head -300",
    "echo CDP=$CDP_URL $<env-var>; python3 --version; which node npm uv pip3 2>&1; ls <host-path> 2>&1",
    "cd <host-path> && cat README.rst; cat requirements.txt; sed -n 1,80p pyproject.toml; ls .github/workflows",
    "cd <host-path> && cat .github/workflows/tests.yml | head -80; ls docs; grep -ril \"mcp\" docs data_gatherer --include=*.rst --include=*.md --include=*.py | head -20",
    "cd <host-path> && cat docs/installation.rst; sed -n 1,80p data_gatherer/mcp.py",
    "cd <host-path> && python3 -m venv <host-path> && <host-path> install -q --upgrade pip 2>&1 | tail -3; export NODE_USE_ENV_PROXY=1; timeout 1500 <host-path> install -e . > /tmp/dg-install.log 2>&1; echo rc=$?; tail -5 /tmp/dg-install.log",
    "cd <host-path> && (sudo apt-get update -qq && sudo DEBIAN_FRONTEND=noninteractive apt-get install -y -qq python3.12-venv >/tmp/apt.log 2>&1); echo apt=$?; rm -rf <host-path>; python3 -m venv <host-path> && <host-path> install -q --upgrade pip 2>&1 | tail -3; echo ok",
    "cd <host-path> && export NODE_USE_ENV_PROXY=1; timeout 1700 <host-path> install -e . > /tmp/dg-install.log 2>&1; echo rc=$?; tail -5 /tmp/dg-install.log; ls <host-path> | grep -i gatherer",
    "cd /tmp && <host-path> -c \"import mcp.server.fastmcp\" 2>&1 | tail -2; <host-path> - <<'EOF' 2>&1 | tail -30\nimport json, subprocess, sys, time\np = subprocess.Popen([\"<host-path>\"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, cwd=\"/tmp\")\ndef send(m):\n    p.stdin.write(json.dumps(m)+\"\\n\"); p.stdin.flush()\nsend({\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{},\"clientInfo\":{\"name\":\"probe\",\"version\":\"0\"}}})\nprint(p.stdout.readline()[:300])\nsend({\"jsonrpc\":\"2.0\",\"method\":\"notifications/initialized\"})\nsend({\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/list\",\"params\":{}})\nprint(p.stdout.readline()[:1500])\np.kill()\nprint(\"stderr:\", p.stderr.read()[-800:])\nEOF",
    "cd /tmp && <host-path> install -q mcp 2>&1 | tail -2; <host-path> - <<'EOF' 2>&1 | tail -30\nimport json, subprocess, sys, time\np = subprocess.Popen([\"<host-path>\"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, cwd=\"/tmp\")\ndef send(m):\n    p.stdin.write(json.dumps(m)+\"\\n\"); p.stdin.flush()\nsend({\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{},\"clientInfo\":{\"name\":\"probe\",\"version\":\"0\"}}})\nprint(p.stdout.readline()[:300])\nsend({\"jsonrpc\":\"2.0\",\"method\":\"notifications/initialized\"})\nsend({\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/list\",\"params\":{}})\nprint(p.stdout.readline()[:1500])\np.kill()\nprint(\"stderr:\", p.stderr.read()[-800:])\nEOF",
    "cd /tmp && <host-path> install -q \"mcp<2\" 2>&1 | tail -2; <host-path> - <<'EOF' 2>&1 | tail -30\nimport json, subprocess, sys, time\np = subprocess.Popen([\"<host-path>\"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, cwd=\"/tmp\")\ndef send(m):\n    p.stdin.write(json.dumps(m)+\"\\n\"); p.stdin.flush()\nsend({\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{},\"clientInfo\":{\"name\":\"probe\",\"version\":\"0\"}}})\nprint(p.stdout.readline()[:300])\nsend({\"jsonrpc\":\"2.0\",\"method\":\"notifications/initialized\"})\nsend({\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/list\",\"params\":{}})\nprint(p.stdout.readline()[:1500])\np.kill()\nprint(\"stderr:\", p.stderr.read()[-800:])\nEOF",
    "cd /tmp && <host-path> - <<'EOF' 2>&1 | tail -30\nimport json, subprocess\np = subprocess.Popen([\"<host-path>\"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True, cwd=\"/tmp\")\ndef send(m):\n    p.stdin.write(json.dumps(m)+\"\\n\"); p.stdin.flush()\ndef recv_id(i):\n    while True:\n        line = p.stdout.readline()\n        if not line: return None\n        msg = json.loads(line)\n        if msg.get(\"id\") == i: return msg\nsend({\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{},\"clientInfo\":{\"name\":\"probe\",\"version\":\"0\"}}})\nrecv_id(1)\nsend({\"jsonrpc\":\"2.0\",\"method\":\"notifications/initialized\"})\nsend({\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/list\",\"params\":{}})\nr = recv_id(2)\nprint([t[\"name\"] for t in r[\"result\"][\"tools\"]])\np.kill()\nEOF",
    "cd /tmp && <host-path> - <<'EOF' 2>&1 | tail -30\nimport json, subprocess\np = subprocess.Popen([\"<host-path>\"], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True, cwd=\"/tmp\")\ndef send(m):\n    p.stdin.write(json.dumps(m)+\"\\n\"); p.stdin.flush()\ndef recv_id(i):\n    while True:\n        line = p.stdout.readline()\n        if not line: return None\n        if not line.lstrip().startswith(\"{\"): continue\n        msg = json.loads(line)\n        if msg.get(\"id\") == i: return msg\nsend({\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{},\"clientInfo\":{\"name\":\"probe\",\"version\":\"0\"}}})\nrecv_id(1)\nsend({\"jsonrpc\":\"2.0\",\"method\":\"notifications/initialized\"})\nsend({\"jsonrpc\":\"2.0\",\"id\":2,\"method\":\"tools/list\",\"params\":{}})\nr = recv_id(2)\nprint([t[\"name\"] for t in r[\"result\"][\"tools\"]])\np.kill()\nEOF",
    "cd <host-path> && mkdir -p .coldpass && ls -la .coldpass && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"mcp\",\"argv\":[\"<host-path>\"],\"cwd\":\"<host-path>\",\"env\":{\"NODE_USE_ENV_PROXY\":\"1\"}}\nEOF\ncat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"operation\":\"Start the data-gatherer-mcp stdio MCP server and list its tools (tools/list returns process_url_mcp and process_articles_mcp).\",\"operation_scope\":\"Only server start and tool listing were exercised. No article extraction was run: process_url_mcp needs an LLM API key (default extraction model gpt-4o-mini, Portkey enabled by default) and network access to publisher sites, neither of which was provided. The shared CDP browser endpoint was not used.\",\"steps\":[\"Read README.rst (no install or run section; points to docs/installation.rst: pip install git+https://github.com/VIDA-NYU/data-gatherer.git)\",\"python3 -m venv <host-path> (after apt-get install python3.12-venv)\",\"<host-path> install -e . (from .github/workflows/tests.yml; succeeded)\",\"<host-path> install 'mcp<2' (see deviations)\",\"Started <host-path> over stdio, sent initialize, notifications/initialized, tools/list; got 2 tools; stopped the process\"],\"deviations\":[\"README.rst has no install/run section; used CI workflow pip install -e . and the pyproject console script data-gatherer-mcp.\",\"Guest lacked venv support: ran apt-get install python3.12-venv.\",\"Server import failed: No module named 'mcp'. mcp is listed in requirements.txt but not in pyproject dependencies; installed mcp.\",\"Unpinned mcp resolved to 2.x, which removed mcp.server.fastmcp (ModuleNotFoundError). Installed 'mcp<2' as the error message recommends. Source not edited.\",\"The server writes a fitz deprecation warning to stdout, so MCP clients must skip non-JSON lines. Not fixed in source.\"],\"stuck_step\":null,\"main_blocker\":null,\"suggested_fix\":null}\nEOF\n<env-var>=<host-path> python3 -I <host-path> --validate",
    "pgrep -fa data-gatherer-mcp || echo \"no leftover server processes\""
  ],
  "platform_conflicts": null,
  "claims_note": null,
  "maintained_note": null,
  "repo": "VIDA-NYU/data-gatherer",
  "service_tier": null,
  "maintained": null,
  "source_pin": null,
  "operation_scope": "product operation",
  "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": "2026-10-18T17:07:35.790426+00:00",
  "kind": "mcp",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "error_excerpt": null,
  "pass": true,
  "evidence_version": null,
  "source_revision": null,
  "run_id": "VIDA-NYU--data-gatherer-claude-haiku-5-5-1792342828207267386",
  "last_release_at": null,
  "furthest_model": null,
  "model": "claude-haiku-5-5",
  "what_it_did": "Start the data-gatherer-mcp stdio MCP server and list its tools (tools/list returns process_url_mcp and process_articles_mcp).",
  "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": 237042,
  "tested_at": null,
  "test_version": "readme-35a4df7562ac6aaecbf68c5247f5297931fc216885efe8863696871d144439bf",
  "recovery": {
    "source": "legacy-oct16-18",
    "original_run_id": "VIDA-NYU--data-gatherer-claude-haiku-5-5-1792342828207267386",
    "historical": true,
    "ledger_sha256": "c5e6a833c182c1e2aecf69d0bd0020aec63c65d98f3e933e4b32232340312736"
  },
  "transcript_url": "/transcripts/VIDA-NYU--data-gatherer-claude-haiku-5-5-1792342828207267386.txt",
  "report_url": "/reports/VIDA-NYU--data-gatherer-claude-haiku-5-5-1792342828207267386.json"
}