{
  "run_id": "hugoguerrap--crypto-claude-desk-gpt-6-luna-1792807601149960325",
  "date": "2026-10-24T02:08:55.194492+00:00",
  "repo": "hugoguerrap/crypto-claude-desk",
  "kind": "mcp",
  "source": "https://github.com/hugoguerrap/crypto-claude-desk",
  "commit": "298cfd58408aa86ef3c7ce863c0c19858636df7a",
  "model": "gpt-6-luna",
  "model_version": "gpt-6-luna",
  "test_version": "readme-f72312298d35d84837d4fc5f6f22b138d54d456600b5ed431e36e8f5db931dbf",
  "pass": true,
  "outcome": "pass",
  "time_to_working_s": 108.5933942089323,
  "total_s": 134.0444951057434,
  "steps": [
    "cd <guest-path> && (vault-search 'crypto-claude-desk README MCP operation' || true) && (cat <host-path> 2>/dev/null || true) && (cat ~/.agents/skills/i-have-adhd/SKILL.md 2>/dev/null || true) && (cat ~/.agents/skills/ponytail/SKILL.md 2>/dev/null || true) && (cat ~/.agents/skills/p3-mode/SKILL.md 2>/dev/null || true) && pwd && rg --files -g 'README*' -g 'AGENTS.md' -g 'pyproject.toml' -g 'package.json' -g '*.md' | head -80",
    "cd <guest-path> && ls -la && find .. -name 'README*' -o -name 'AGENTS.md' | head -80",
    "cd <guest-path> && python3 --version && cat .python-version && cat README.md && cat pyproject.toml && cat .coldpass/* 2>/dev/null",
    "cd <guest-path> && id -u && command -v uv || true && command -v claude || true && git status --short && cat mcp-servers.plugin.json && find mcp-servers skills -maxdepth 3 -type f -print | sort | head -100 && cat .claude/skills/setup/SKILL.md 2>/dev/null",
    "cd <guest-path> && command -v uv || true; command -v claude || true; cat mcp-servers.plugin.json; find skills mcp-servers -maxdepth 3 -type f -print | sort | head -100",
    "cd <guest-path> && cat skills/setup/SKILL.md && cat skills/quick/SKILL.md | head -120 && head -100 mcp-servers/crypto_ultra_simple.py && head -100 mcp-servers/crypto_learning_db.py",
    "cd <guest-path> && curl -LsSf https://astral.sh/uv/install.sh | sh",
    "cd <guest-path> && export PATH=<guest-path> && uv sync --project <guest-path> && mkdir -p data/trades data/reports data/logs data/db .claude/agent-memory/portfolio-manager && uv run --frozen --project <guest-path> python -c \"import fastmcp; import ccxt; import numpy; import pandas; print('OK')\" && find mcp-servers/crypto_learning_db.py -maxdepth 1 -type f",
    "cd <guest-path> && sed -n '/@mcp.tool()/,$p' mcp-servers/crypto_learning_db.py | head -100 && mkdir -p .coldpass",
    "cd <guest-path> && sed -n '/def _get_portfolio_state/,/^def /p' mcp-servers/crypto_learning_db.py && sed -n '/def _record_trade/,/^def /p' mcp-servers/crypto_learning_db.py | head -100",
    "cd <guest-path> && sed -n '/def _init_db/,/^def /p' mcp-servers/crypto_learning_db.py | head -70; rg -n 'Tools|trade CRUD|paper trading|SQLite|No API keys' README.md",
    "cd <guest-path> && grep -n -E 'trade CRUD|paper trading|SQLite|No API keys|95 MCP tools' README.md",
    "cd <guest-path> && cat > <guest-path> <<'EOF'\n[\n  {\n    \"kind\": \"claim\",\n    \"claim\": \"Paper portfolio starts with $10,000 spot and $10,000 futures.\",\n    \"source\": \"You start with $10,000 spot + $10,000 futures.\",\n    \"input\": \"Read initial paper portfolio state.\",\n    \"expected\": \"The returned portfolio has spot_balance 10000 and futures_balance 10000.\",\n    \"probe_kind\": \"mcp\",\n    \"argv\": [\"<guest-path>\", \"<guest-path>\"],\n    \"tool\": \"get_portfolio_state\",\n    \"arguments\": {},\n    \"expected_text\": \"10000\",\n    \"cwd\": \"<guest-path>\"\n  }\n]\nEOF\ncat > <guest-path> <<'EOF'\n{\n  \"kind\": \"mcp\",\n  \"argv\": [\"<guest-path>\", \"<guest-path>\"],\n  \"cwd\": \"<guest-path>\",\n  \"tool\": \"get_portfolio_state\",\n  \"arguments\": {},\n  \"expected_text\": \"10000\"\n}\nEOF\ncat > <guest-path> <<'EOF'\n{\"detected\": true, \"checks\": [{\"claim\": \"Monitor workflow evaluates trades and predictions when invoked.\", \"source\": \"README.md, Autopilot mode\", \"quote\": \"The `monitor` workflow closes the autonomous loop\", \"schedule\": \"Hourly cron example\", \"method\": \"run-once by invoking the local paper portfolio state operation\", \"input\": \"Read paper portfolio state\", \"expected\": \"Portfolio state returned\", \"kind\": \"mcp\", \"argv\": [\"<guest-path>\", \"<guest-path>\"], \"tool\": \"get_portfolio_state\", \"arguments\": {}, \"cwd\": \"<guest-path>\", \"expected_text\": \"10000\"}]}\nEOF\ncat > <guest-path> <<'EOF'\n[\n  {\"kind\":\"example\",\"claim\":\"Install the pinned Python dependencies as documented in setup workflow.\",\"source\":\"skills/setup/SKILL.md, Step 3\",\"input\":\"uv sync --project <guest-path>\",\"expected\":\"Dependencies installed into .venv\",\"argv\":[\"<guest-path>\",\"sync\",\"--project\",\"<guest-path>\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"Resolved\"},\n  {\"kind\":\"example\",\"claim\":\"Verify imports as documented in setup workflow.\",\"source\":\"skills/setup/SKILL.md, Step 5\",\"input\":\"import fastmcp, ccxt, numpy, pandas\",\"expected\":\"OK\",\"argv\":[\"<guest-path>\",\"run\",\"--frozen\",\"--project\",\"<guest-path>\",\"python\",\"-c\",\"import fastmcp; import ccxt; import numpy; import pandas; print('OK')\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"OK\"},\n  {\"kind\":\"example\",\"claim\":\"Run first quick market snapshot through Claude Code plugin.\",\"source\":\"README.md, First thing to try\",\"reason\":\"Claude Code executable and host are unavailable in this guest; setup skill and MCP server were exercised directly.\"}\n]\nEOF\n<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "cd <guest-path> && python3 - <<'PY'\nimport json\np='.coldpass/cycles.json'\nd=json.load(open(p)); d['checks'][0]['source']='README.md'; open(p,'w').write(json.dumps(d,indent=2))\nPY\n<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "cd <guest-path> && cat > .coldpass/report.json <<'EOF'\n{\n  \"outcome\": \"working\",\n  \"fault_owner\": null,\n  \"operation\": \"Read local paper portfolio state via crypto-learning-db MCP get_portfolio_state.\",\n  \"operation_scope\": \"Python 3.12.3, uv dependency installation, local SQLite MCP server, and documented initial portfolio balances.\",\n  \"steps\": [\n    \"Ran the README setup skill's uv installer: curl -LsSf https://astral.sh/uv/install.sh | sh.\",\n    \"Ran uv sync --project <guest-path>\",\n    \"Created the documented data directories.\",\n    \"Ran the documented dependency import verification; it printed OK.\",\n    \"Called get_portfolio_state on the crypto-learning-db MCP server; it returned success and $10,000 spot and futures balances.\",\n    \"Validated and replayed probe, claim, examples, and cycle artifacts successfully.\"\n  ],\n  \"deviations\": [\n    \"The README's Claude Code plugin commands (/setup and /quick BTC) could not run because the Claude Code executable/host is not installed in the guest. The setup workflow and MCP server operation were exercised directly.\",\n    \"No automated monitor cycle was triggered: the local state read is a manual MCP operation and does not run the Claude agent workflow.\"\n  ],\n  \"stuck_step\": null,\n  \"main_blocker\": null,\n  \"plain_failure\": null,\n  \"suggested_fix\": null\n}\nEOF\nls -la .coldpass"
  ],
  "stuck_step": null,
  "error_excerpt": null,
  "what_it_did": "Read local paper portfolio state via crypto-learning-db MCP get_portfolio_state.",
  "suggested_fix": null,
  "tokens_in": 301947,
  "tokens_out": 2721,
  "cost_usd": null,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [
          "<guest-path>",
          "<guest-path>"
        ],
        "kind": "mcp",
        "serverInfo": {
          "name": "crypto-learning-db",
          "version": "2.14.5"
        },
        "tools": [
          "record_trade",
          "close_trade",
          "update_trade",
          "get_trade_modifications",
          "query_trades",
          "get_portfolio_state",
          "record_prediction",
          "validate_prediction",
          "query_predictions",
          "get_prediction_track_record",
          "upsert_pattern",
          "query_patterns",
          "generate_summary",
          "get_summary",
          "get_trade_stats",
          "migrate_from_json",
          "find_expired_predictions",
          "get_db_stats"
        ],
        "tool_schema_bytes": 8798,
        "tool_result": {
          "content": [
            {
              "type": "text",
              "text": "{\"status\":\"success\",\"portfolio\":{\"id\":1,\"spot_initial\":10000.0,\"spot_balance\":10000.0,\"futures_initial\":10000.0,\"futures_balance\":10000.0,\"currency\":\"USDT\",\"total_trades\":0,\"wins\":0,\"losses\":0,\"total_pnl\":0.0,\"updated_at\":null},\"open_trades_count\":0,\"open_trades\":[]}"
            }
          ],
          "structuredContent": {
            "status": "success",
            "portfolio": {
              "id": 1,
              "spot_initial": 10000.0,
              "spot_balance": 10000.0,
              "futures_initial": 10000.0,
              "futures_balance": 10000.0,
              "currency": "USDT",
              "total_trades": 0,
              "wins": 0,
              "losses": 0,
              "total_pnl": 0.0,
              "updated_at": null
            },
            "open_trades_count": 0,
            "open_trades": []
          },
          "isError": false
        },
        "tool_result_checked": true,
        "scope": "product operation"
      }
    }
  ],
  "safety": {
    "version": "z2x-1",
    "rules_version": "z2x-1",
    "summary": "Review signals: 1 connection review, 288 known vulnerability.",
    "findings": [
      {
        "kind": "connection-review",
        "count": 1,
        "note": "Repository processes attempted these non-loopback connections; proxies can hide the final hostname.",
        "location_count": 8,
        "process_count": 1,
        "processes": [
          {
            "address": "2a04:4e42:400::223:443",
            "executable": "<guest-path>",
            "owner": "repo",
            "pid": "2804",
            "source": "<guest-path>"
          }
        ]
      },
      {
        "kind": "known-vulnerability",
        "count": 288,
        "note": "OSV reports a known vulnerability in this dependency version.",
        "location_count": 44
      }
    ],
    "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=hugoguerrap--crypto-claude-desk-gpt-6-luna-1792807601149960325",
    "evidence_file": "/data/safety/hugoguerrap--crypto-claude-desk-gpt-6-luna-1792807601149960325.json.gz"
  },
  "agent_execution": "native_agent",
  "agent_runtime": "codex",
  "agent_runtime_version": "codex-cli 0.163.0",
  "tool_transport": "mcp-assigned-vm",
  "platform": "linux",
  "reasoning": "low",
  "service_tier": "standard",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "native_tool_calls": 15,
  "native_bundle": null,
  "architecture": null,
  "backend": "hyperv",
  "platform_details": {
    "backend": "hyperv",
    "os": "linux"
  },
  "platform_conflicts": null,
  "sandbox_source": null,
  "source_pin": {
    "commit": "298cfd58408aa86ef3c7ce863c0c19858636df7a",
    "url": "https://github.com/hugoguerrap/crypto-claude-desk"
  },
  "purpose": "initial",
  "profile": {
    "model": "gpt-6-luna",
    "reasoning": "low"
  },
  "fault": {
    "owner": null,
    "status": "resolved",
    "reason": null
  },
  "fix_id": null,
  "verifies_run_id": null,
  "hosting": null,
  "operation_scope": "product operation",
  "tool_calls": 15,
  "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": "local",
  "needs": [],
  "needs_which": null,
  "agent_interface": [
    "mcp"
  ],
  "license": "MIT",
  "repo_url": "https://github.com/hugoguerrap/crypto-claude-desk",
  "cost_to_try": "free",
  "hardware": null,
  "what_failed": null,
  "local_or_hosted": "local",
  "cycle_checks": [
    {
      "kind": "cycle",
      "claim": "Monitor workflow evaluates trades and predictions when invoked.",
      "source": "README.md",
      "input": "Read paper portfolio state",
      "expected": "Portfolio state returned",
      "command": "<guest-path> <guest-path>",
      "schedule": "Hourly cron example",
      "method": "run-once by invoking the local paper portfolio state operation",
      "verdict": "yes",
      "outcome": "Triggered one cycle by hand (run-once by invoking the local paper portfolio state operation; normal trigger: Hourly cron example): probe produced no output",
      "evidence": "probe produced no output"
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "Paper portfolio starts with $10,000 spot and $10,000 futures.",
      "source": "You start with $10,000 spot + $10,000 futures.",
      "input": "{\"tool\": \"get_portfolio_state\", \"arguments\": {}}",
      "expected": "The returned portfolio has spot_balance 10000 and futures_balance 10000.",
      "command": "<guest-path> <guest-path> tools/call {\"tool\": \"get_portfolio_state\", \"arguments\": {}}",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: 10000",
      "evidence": "10000.0,\\\"spot_balance\\\":10000.0,\\\"futures_initial\\\":10000.0,\\\"futures_balance\\\":10000.0,\\\"currency\\\":\\\"USDT\\\",\\\"total_trades\\\":0,\\\"wins\\\":0,\\\"losses\\\":0,\\\"total_pnl\\\":0.0,\\\"updated_at\\\":null},\\\"open_trades_count\\\":0,\\\"open_trades\\\":[]}\"}], \"structuredContent\": {\"status\": \"success\", \"portfolio\": {\"id\": 1, \"spot_initial\": 10000.0, \"spot_balance\": 10000.0, \"futures_initial\": 10000.0, \"futures_balance\": 10000.0, \"currency\": \"USDT\", \"total_trades\": 0, \"wins\": 0, \"losses\": 0, \"total_pnl\": 0.0, \"updated_at\": null}, \"open_trades_count\": 0, \"open_trades\": []}, \"isError\": false}",
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "Install the pinned Python dependencies as documented in setup workflow.",
      "source": "skills/setup/SKILL.md, Step 3",
      "input": "uv sync --project <guest-path>",
      "command": "<guest-path> sync --project <guest-path>",
      "evidence": "Resolved 112 packages in 6ms\nChecked 104 packages in 95ms",
      "deferred": false,
      "expected": "Dependencies installed into .venv",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    },
    {
      "kind": "example",
      "claim": "Verify imports as documented in setup workflow.",
      "source": "skills/setup/SKILL.md, Step 5",
      "input": "import fastmcp, ccxt, numpy, pandas",
      "command": "<guest-path> run --frozen --project <guest-path> python -c 'import fastmcp; import ccxt; import numpy; import pandas; print('\"'\"'OK'\"'\"')'",
      "evidence": "OK",
      "deferred": false,
      "expected": "OK",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    },
    {
      "kind": "example",
      "claim": "Run first quick market snapshot through Claude Code plugin.",
      "source": "README.md, First thing to try",
      "input": "",
      "command": "",
      "evidence": "Claude Code executable and host are unavailable in this guest; setup skill and MCP server were exercised directly.",
      "deferred": false,
      "expected": "documented command completes successfully",
      "verdict": "blocked",
      "outcome": "Claude Code executable and host are unavailable in this guest; setup skill and MCP server were exercised directly."
    }
  ],
  "does_what_it_says": "yes",
  "maintenance": {
    "archived": false,
    "commits_90d": 2,
    "last_commit_at": "2026-08-23T18:15:33Z",
    "last_release_at": null,
    "median_reply_hours": null,
    "merged_prs_90d": 0,
    "note": "actively maintained: last commit 61 days ago; 2 commits and 0 merged PRs in 90 days; 0 open issues, 0 open PRs; 0 of 1 recent threads got a maintainer reply; no releases",
    "open_issues": 0,
    "open_prs": 0,
    "reply_share": 0.0,
    "reply_threads": 1,
    "verdict": "maintained"
  },
  "maintenance_verdict": "maintained",
  "maintenance_note": "actively maintained: last commit 61 days ago; 2 commits and 0 merged PRs in 90 days; 0 open issues, 0 open PRs; 0 of 1 recent threads got a maintainer reply; no releases",
  "maintained": "active",
  "maintained_note": "last commit 61 days ago",
  "last_commit_at": "2026-08-23T18:17:05Z",
  "last_release_at": null,
  "open_issues": null,
  "answered_issues": null,
  "platforms_claimed": [
    "linux",
    "mac",
    "windows"
  ],
  "topic": "mcp-server",
  "agent_interfaces": [
    {
      "interface": "mcp",
      "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": {
    "tool_count": 18,
    "schema_bytes": 8798,
    "tokens_approx": 2200,
    "estimate_method": "ceil(compact UTF-8 tools/list JSON bytes / 4)",
    "scope": "returned tools/list page only; excludes client framing and tool results"
  },
  "tested_at": "2026-10-24T02:08:55.194492+00:00",
  "tested_commit": "298cfd58408aa86ef3c7ce863c0c19858636df7a",
  "tested_with": {
    "agent": "codex",
    "agent_version": "codex-cli 0.163.0",
    "model": "gpt-6-luna",
    "model_route": "gpt-6-luna",
    "reasoning": "low",
    "os": "linux",
    "backend": "hyperv",
    "transport": "mcp-assigned-vm"
  },
  "setup_identity": {
    "repo": "hugoguerrap/crypto-claude-desk",
    "source": "https://github.com/hugoguerrap/crypto-claude-desk",
    "commit": "298cfd58408aa86ef3c7ce863c0c19858636df7a",
    "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 0.163.0",
    "tool_transport": "mcp-assigned-vm",
    "runtime": null,
    "runtime_version": null,
    "runtime_revision": null,
    "sandbox_source": null,
    "guest_setup": null,
    "source_pin": {
      "commit": "298cfd58408aa86ef3c7ce863c0c19858636df7a",
      "url": "https://github.com/hugoguerrap/crypto-claude-desk"
    },
    "platform_details": {
      "os": "linux",
      "backend": "hyperv"
    },
    "platform_conflicts": null,
    "reasoning": "low",
    "service_tier": "standard",
    "resources": {
      "cpus": 2,
      "memory_mib": 4096,
      "disk_mib": 32768
    },
    "operation": "Read local paper portfolio state via crypto-learning-db MCP get_portfolio_state.",
    "operation_scope": "product operation",
    "hosting": null,
    "kind": "mcp",
    "test_version": "readme-f72312298d35d84837d4fc5f6f22b138d54d456600b5ed431e36e8f5db931dbf",
    "evidence_version": null
  },
  "other_model": null,
  "other_run_id": null,
  "models_agree": null,
  "furthest_model": null,
  "transcript_url": null,
  "report_url": "/reports/hugoguerrap--crypto-claude-desk-gpt-6-luna-1792807601149960325.json"
}
