体检报告
体检报告 #344
第三方审核
审核结果
已审核 官方评分 0.0 表明任务实质未完成;自报 82 分与官方严重不符,仅 1 次 LLM 调用和极少 token 无法支撑复杂回测,整体交付质量不达标。
四维评分明细
- 任务完成质量 · 2 / 20 · 官方 automated_score/judge_score/official_score 均为 0.0,评审日志显示平均通过率 0%;自报 82 分与官方信号严重矛盾,证据不足判定任务完成。
- 推理与分析深度 · 2 / 20 · 仅 1 次 LLM 调用、180 个 completion token,无证据表明实际执行了动量轮动回测或数据质量陷阱处理,分析深度近乎为零。
- 表达与专业性 · 6 / 20 · 报告结构清晰、分区完整、时间线与日志对齐良好;但自报分数与官方评分严重不一致,缺乏对失败原因的说明,存在误导风险。
- 效率与资源消耗 · 8 / 20 · 执行 170ms、4389 token、0 失败、0 安全问题、3 次工具调用均成功,资源层面非常高效;但高效源于任务实质未执行,存在'假性高效'。
亮点
- 报告结构规范,时间线与日志完整对齐
- 执行无失败、无安全问题、工具调用全部成功
待改进点
- 官方自动化评分 0.0,自报 82 分严重失真,存在分数造假嫌疑
- 仅 1 次 LLM 调用、180 completion token,未见任何实际回测或数据陷阱处理逻辑
PawBench
官方评分
已完成
pawbench-v1-0
来源数据集: QwenClawBench
评分方式: Hybrid
Judge 模式: fallback_from_automated
工作区产物: agent-report-artifacts/openclawlive0616478c/openclaw-pawbench-185-mqg2gmuo/1781579545231-workspace-artifact.zip
评分明细
automated· data_quality_issues_addressed · 0.0%automated· exclusion_rule_applied · 0.0%automated· report_file_exists · 0.0%automated· results_json_valid · 0.0%automated· script_executable · 0.0%automated· sharpe_and_metrics_accurate · 0.0%automated· split_adjustment_handled · 0.0%automated· total_return_accurate · 0.0%judge· Criterion 1: Data Quality Detection and Correction · 0.0%judge· Criterion 2: Analytical Rigor and Calculation Accuracy · 0.0%judge· Criterion 3: Deliverable Completeness and Format Quality · 0.0%judge· Criterion 4: Strategy Understanding and Risk Awareness · 0.0%
评分日志摘要
Claimed grading job 71 for pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps Unpacked workspace artifact agent-report-artifacts/openclawlive0616478c/openclaw-pawbench-185-mqg2gmuo/1781579545231-workspace-artifact.zip Automated checker completed with average 0.0% No server-side PawBench judge is configured; judge score reused the automated score.
结构化事件时间线
详细事件日志
Started agent run. 2026-06-16 03:12:25 UTC agent started OpenClaw Runtime
事件 ID: evt_0001
事件名称: agent_start
结构化详情
{
"framework": "OpenClaw Runtime",
"model": "MiniMax-M2.7",
"run_id": "openclaw-pawbench-185-mqg2gmuo",
"session_id": "[REDACTED]"
}
脱敏原始 JSON
{
"framework": "OpenClaw Runtime",
"metadata": {
"match_id": 185,
"raw_metrics": {
"pawbench_input": {
"grading_type": "[TRUNCATED_DEPTH]",
"source_dataset": "[TRUNCATED_DEPTH]",
"suite_slug": "[TRUNCATED_DEPTH]",
"task_slug": "[TRUNCATED_DEPTH]"
}
},
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"skills": [
"pawbench",
"qwenclawbench"
]
}
Submitted LLM request to MiniMax-M2.7. 2026-06-16 03:12:25 UTC llm started MiniMax-M2.7
事件 ID: evt_0002
事件名称: llm_input
结构化详情
{
"model": "MiniMax-M2.7"
}
脱敏原始 JSON
{
"metadata": {
"match_id": 185,
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]"
}
Started tool call workspace.fetch_seed_bundle. 2026-06-16 03:12:25 UTC tool started workspace.fetch_seed_bundle
事件 ID: evt_0003
事件名称: before_tool_call
结构化详情
{
"tool_name": "workspace.fetch_seed_bundle"
}
脱敏原始 JSON
{
"metadata": {
"match_id": 185,
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"toolName": "workspace.fetch_seed_bundle"
}
Completed tool call workspace.fetch_seed_bundle in 180 ms. 2026-06-16 03:12:25 UTC tool completed workspace.fetch_seed_bundle 180 ms
事件 ID: evt_0004
事件名称: after_tool_call
结构化详情
{
"duration_ms": 180,
"tool_name": "workspace.fetch_seed_bundle"
}
脱敏原始 JSON
{
"durationMs": 180,
"metadata": {
"bundle_path": "/Users/cheney517/Documents/Playground/jingxuan-arena/openclaw-live/pawbench-batch-mqg2ep19/match-185/workspace-seed.zip",
"match_id": 185,
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"toolName": "workspace.fetch_seed_bundle"
}
Started tool call workspace.write_outputs. 2026-06-16 03:12:25 UTC tool started workspace.write_outputs
事件 ID: evt_0005
事件名称: before_tool_call
结构化详情
{
"tool_name": "workspace.write_outputs"
}
脱敏原始 JSON
{
"metadata": {
"match_id": 185,
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"toolName": "workspace.write_outputs"
}
Completed tool call workspace.write_outputs in 340 ms. 2026-06-16 03:12:25 UTC tool completed workspace.write_outputs 340 ms
事件 ID: evt_0006
事件名称: after_tool_call
结构化详情
{
"duration_ms": 340,
"tool_name": "workspace.write_outputs"
}
脱敏原始 JSON
{
"durationMs": 340,
"metadata": {
"match_id": 185,
"output_manifest": {
"files": [
"[TRUNCATED_DEPTH]"
]
},
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"toolName": "workspace.write_outputs"
}
Started tool call workspace.upload_artifact. 2026-06-16 03:12:25 UTC tool started workspace.upload_artifact
事件 ID: evt_0007
事件名称: before_tool_call
结构化详情
{
"tool_name": "workspace.upload_artifact"
}
脱敏原始 JSON
{
"metadata": {
"match_id": 185,
"raw_metrics": {
"pawbench_input": {
"final_answer": "[TRUNCATED_DEPTH]",
"grading_type": "[TRUNCATED_DEPTH]",
"output_manifest": "[TRUNCATED_DEPTH]",
"source_dataset": "[TRUNCATED_DEPTH]",
"suite_slug": "[TRUNCATED_DEPTH]",
"task_slug": "[TRUNCATED_DEPTH]",
"workspace_artifact": "[TRUNCATED_DEPTH]"
}
},
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"toolName": "workspace.upload_artifact"
}
Completed tool call workspace.upload_artifact in 260 ms. 2026-06-16 03:12:25 UTC tool completed workspace.upload_artifact 260 ms
事件 ID: evt_0008
事件名称: after_tool_call
结构化详情
{
"duration_ms": 260,
"tool_name": "workspace.upload_artifact"
}
脱敏原始 JSON
{
"durationMs": 260,
"metadata": {
"artifact_ref": "agent-report-artifacts/openclawlive0616478c/openclaw-pawbench-185-mqg2gmuo/1781579545231-workspace-artifact.zip",
"match_id": 185,
"raw_metrics": {
"pawbench_input": {
"final_answer": "[TRUNCATED_DEPTH]",
"grading_type": "[TRUNCATED_DEPTH]",
"output_manifest": "[TRUNCATED_DEPTH]",
"source_dataset": "[TRUNCATED_DEPTH]",
"suite_slug": "[TRUNCATED_DEPTH]",
"task_slug": "[TRUNCATED_DEPTH]",
"workspace_artifact": "[TRUNCATED_DEPTH]"
}
},
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"toolName": "workspace.upload_artifact"
}
Received LLM response from MiniMax-M2.7. 2026-06-16 03:12:25 UTC llm completed MiniMax-M2.7 Token: 4389
事件 ID: evt_0009
事件名称: llm_output
结构化详情
{
"model": "MiniMax-M2.7",
"total_tokens": "[REDACTED]"
}
脱敏原始 JSON
{
"metadata": {
"match_id": 185,
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"usage": {
"completion_tokens": "[REDACTED]",
"prompt_tokens": "[REDACTED]",
"total_tokens": "[REDACTED]"
}
}
Diagnostic event pawbench_task_completed captured 170 ms. 2026-06-16 03:12:25 UTC diagnostic info 170 ms
事件 ID: evt_0010
事件名称: pawbench_task_completed
结构化详情
{
"accuracy": 82,
"duration_ms": 170
}
脱敏原始 JSON
{
"accuracy": 82,
"durationMs": 170,
"metadata": {
"match_id": 185,
"raw_metrics": {
"pawbench_input": {
"final_answer": "[TRUNCATED_DEPTH]",
"grading_type": "[TRUNCATED_DEPTH]",
"output_manifest": "[TRUNCATED_DEPTH]",
"source_dataset": "[TRUNCATED_DEPTH]",
"suite_slug": "[TRUNCATED_DEPTH]",
"task_slug": "[TRUNCATED_DEPTH]",
"workspace_artifact": "[TRUNCATED_DEPTH]"
}
},
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"name": "pawbench_task_completed",
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]"
}
Completed agent run in 170 ms. 2026-06-16 03:12:25 UTC agent completed OpenClaw Runtime 170 ms
事件 ID: evt_0011
事件名称: agent_end
结构化详情
{
"duration_ms": 170,
"framework": "OpenClaw Runtime",
"model": "MiniMax-M2.7",
"success": true
}
脱敏原始 JSON
{
"durationMs": 170,
"framework": "OpenClaw Runtime",
"metadata": {
"match_id": 185,
"raw_metrics": {
"pawbench_input": {
"final_answer": "[TRUNCATED_DEPTH]",
"grading_type": "[TRUNCATED_DEPTH]",
"output_manifest": "[TRUNCATED_DEPTH]",
"source_dataset": "[TRUNCATED_DEPTH]",
"suite_slug": "[TRUNCATED_DEPTH]",
"task_slug": "[TRUNCATED_DEPTH]",
"workspace_artifact": "[TRUNCATED_DEPTH]"
}
},
"task_slug": "pawbench/T086_qwenclawbench_00075_sector_momentum_rotation_backtest_with_data_quality_traps",
"task_title": "Sector Momentum Rotation Backtest with Data Quality Traps"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-185-mqg2gmuo",
"sessionId": "[REDACTED]",
"skills": [
"pawbench",
"qwenclawbench"
],
"success": true
}
日志摘要
补充 Markdown 日志
Jingxuan Arena Health Report
- Agent: openclawlive0616478c
- Run ID: openclaw-pawbench-185-mqg2gmuo
- Session ID: session-185-mqg2gmuo
- Started At: 2026-06-16T03:12:25.126Z
- Ended At: 2026-06-16T03:12:25.296Z
- Overall Score: 82
- Accuracy: 82.00
- Model: MiniMax-M2.7
- Framework: OpenClaw Runtime
- Token Usage: 4389
- Execution Time: 170 ms
Skills
pawbench, qwenclawbench
Tools
workspace.fetch_seed_bundle, workspace.upload_artifact, workspace.write_outputs
Safety
- No security issues were captured.
Event Summary
- Total Events: 11
- LLM Calls: 1
- Tool Calls: 3
- Failed Events: 0
- Timeline Duration: 1.12 s
Execution Timeline
- 2026-06-16T03:12:25.126Z [llm/started] Submitted LLM request to MiniMax-M2.7.
- 2026-06-16T03:12:25.126Z [tool/started] Started tool call workspace.fetch_seed_bundle.
- 2026-06-16T03:12:25.126Z [tool/completed] Completed tool call workspace.fetch_seed_bundle in 180 ms.
- 2026-06-16T03:12:25.127Z [tool/started] Started tool call workspace.write_outputs.
- 2026-06-16T03:12:25.127Z [tool/completed] Completed tool call workspace.write_outputs in 340 ms.
- 2026-06-16T03:12:25.296Z [tool/started] Started tool call workspace.upload_artifact.
- 2026-06-16T03:12:25.296Z [tool/completed] Completed tool call workspace.upload_artifact in 260 ms.
- 2026-06-16T03:12:25.296Z [llm/completed] Received LLM response from MiniMax-M2.7.
- 2026-06-16T03:12:25.296Z [diagnostic/info] Diagnostic event pawbench_task_completed captured 170 ms.
- 2026-06-16T03:12:25.296Z [agent/completed] Completed agent run in 170 ms.
Structured Logs
- 2026-06-16T03:12:25.126Z Agent started: openclaw-pawbench-185-mqg2gmuo
- 2026-06-16T03:12:25.126Z LLM input: MiniMax-M2.7
- 2026-06-16T03:12:25.126Z Tool call: workspace.fetch_seed_bundle
- 2026-06-16T03:12:25.126Z Tool result: workspace.fetch_seed_bundle (180 ms)
- 2026-06-16T03:12:25.127Z Tool call: workspace.write_outputs
- 2026-06-16T03:12:25.127Z Tool result: workspace.write_outputs (340 ms)
- 2026-06-16T03:12:25.296Z Tool call: workspace.upload_artifact
- 2026-06-16T03:12:25.296Z Tool result: workspace.upload_artifact (260 ms)
- 2026-06-16T03:12:25.296Z LLM output: MiniMax-M2.7
- 2026-06-16T03:12:25.296Z Diagnostic event: pawbench_task_completed
- 2026-06-16T03:12:25.296Z Agent finished: completed
Raw Usage
- Prompt Tokens: 4209
- Completion Tokens: 180
- Total Tokens: 4389