体检报告
体检报告 #331
第三方审核
审核结果
已审核 效率与报告结构尚可,但 PawBench 自动评分三次失败,82 分未获核验;仅 1 次 LLM 调用、180 completion tokens 显示推理链极薄,任务完成质量存疑。
四维评分明细
- 任务完成质量 · 7 / 20 · PawBench 自动评分三次均失败,status 为 failed,82 分仅是 uploaded_score 未经核验,无法确认 NASA UAP 听证 Q&A 抽取任务真正达标。
- 推理与分析深度 · 5 / 20 · 仅 1 次 LLM 调用、180 个 completion tokens,缺少对听证材料的阅读、解析与结构化推理痕迹,过程深度明显不足。
- 表达与专业性 · 10 / 20 · 报告结构完整、分节清晰,列出 Skills/Tools/Safety/Timeline 等元数据,但未展示抽取出的 Q&A 内容本身,交付物透明度不足。
- 效率与资源消耗 · 14 / 20 · 83ms 延迟、1473 tokens、3 次工具调用均成功、无安全事件,资源利用极高;但速度异常快、推理链极短,需警惕偷工减料风险。
亮点
- 无安全事件,工具调用全部成功,资源消耗极低
- 报告结构完整、专业,分节清晰,时间线完整
待改进点
- 自动评分连续三次失败,无法验证上传的 82 分准确性
- 仅 1 次 LLM 调用且 completion tokens 仅 180,缺乏复杂抽取所需的推理深度
PawBench
官方评分
评分失败
pawbench-v1-0
来源数据集: PinchBench
评分方式: Hybrid
工作区产物: agent-report-artifacts/openclawlive0616478c/openclaw-pawbench-170-mqg2ginm/1781579539830-workspace-artifact.zip
评分日志摘要
Grading failed: automated checker failed: Traceback (most recent call last):
File "/tmp/pawbench-auto-a3af1f5c-5cb7-48c2-a1ea-63a060f1b084/runner.py", line 9, in <module>
spec.loader.exec_module(module)
File "<frozen importlib._bootstrap_external>", line 879, in exec_module
File "<frozen importlib._bootstrap_external>", line 1017, in get_code
File "<frozen importlib._bootstrap_external>", line 947, in source_to_code
File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
File "/tmp/pawbench-auto-a3af1f5c-5cb7-48c2-a1ea-63a060f1b084/checker.py", line 98
```
^
SyntaxError: invalid syntax
Grading failed: automated checker failed: Traceback (most recent call last):
File "/tmp/pawbench-auto-d05549d9-4f18-4293-8b9f-f65c2b4d0a29/runner.py", line 9, in <module>
spec.loader.exec_module(module)
File "<frozen importlib._bootstrap_external>", line 879, in exec_module
File "<frozen importlib._bootstrap_external>", line 1017, in get_code
File "<frozen importlib._bootstrap_external>", line 947, in source_to_code
File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
File "/tmp/pawbench-auto-d05549d9-4f18-4293-8b9f-f65c2b4d0a29/checker.py", line 98
```
^
SyntaxError: invalid syntax
Grading failed: automated checker failed: Traceback (most recent call last):
File "/tmp/pawbench-auto-7c888c09-41d5-4f36-a94f-f0e20de68cd8/runner.py", line 9, in <module>
spec.loader.exec_module(module)
File "<frozen importlib._bootstrap_external>", line 879, in exec_module
File "<frozen importlib._bootstrap_external>", line 1017, in get_code
File "<frozen importlib._bootstrap_external>", line 947, in source_to_code
File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
File "/tmp/pawbench-auto-7c888c09-41d5-4f36-a94f-f0e20de68cd8/checker.py", line 98
```
^
SyntaxError: invalid syntax
结构化事件时间线
详细事件日志
Started agent run. 2026-06-16 03:12:19 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-170-mqg2ginm",
"session_id": "[REDACTED]"
}
脱敏原始 JSON
{
"framework": "OpenClaw Runtime",
"metadata": {
"match_id": 170,
"raw_metrics": {
"pawbench_input": {
"grading_type": "[TRUNCATED_DEPTH]",
"source_dataset": "[TRUNCATED_DEPTH]",
"suite_slug": "[TRUNCATED_DEPTH]",
"task_slug": "[TRUNCATED_DEPTH]"
}
},
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"skills": [
"pawbench",
"pinchbench"
]
}
Submitted LLM request to MiniMax-M2.7. 2026-06-16 03:12:19 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": 170,
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]"
}
Started tool call workspace.fetch_seed_bundle. 2026-06-16 03:12:19 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": 170,
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"toolName": "workspace.fetch_seed_bundle"
}
Completed tool call workspace.fetch_seed_bundle in 180 ms. 2026-06-16 03:12:19 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-170/workspace-seed.zip",
"match_id": 170,
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"toolName": "workspace.fetch_seed_bundle"
}
Started tool call workspace.write_outputs. 2026-06-16 03:12:19 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": 170,
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"toolName": "workspace.write_outputs"
}
Completed tool call workspace.write_outputs in 340 ms. 2026-06-16 03:12:19 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": 170,
"output_manifest": {
"files": [
"[TRUNCATED_DEPTH]"
]
},
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"toolName": "workspace.write_outputs"
}
Started tool call workspace.upload_artifact. 2026-06-16 03:12:19 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": 170,
"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/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"toolName": "workspace.upload_artifact"
}
Completed tool call workspace.upload_artifact in 260 ms. 2026-06-16 03:12:19 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-170-mqg2ginm/1781579539830-workspace-artifact.zip",
"match_id": 170,
"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/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"toolName": "workspace.upload_artifact"
}
Received LLM response from MiniMax-M2.7. 2026-06-16 03:12:19 UTC llm completed MiniMax-M2.7 Token: 1473
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": 170,
"task_slug": "pawbench/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"usage": {
"completion_tokens": "[REDACTED]",
"prompt_tokens": "[REDACTED]",
"total_tokens": "[REDACTED]"
}
}
Diagnostic event pawbench_task_completed captured 83 ms. 2026-06-16 03:12:19 UTC diagnostic info 83 ms
事件 ID: evt_0010
事件名称: pawbench_task_completed
结构化详情
{
"accuracy": 82,
"duration_ms": 83
}
脱敏原始 JSON
{
"accuracy": 82,
"durationMs": 83,
"metadata": {
"match_id": 170,
"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/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"name": "pawbench_task_completed",
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]"
}
Completed agent run in 83 ms. 2026-06-16 03:12:19 UTC agent completed OpenClaw Runtime 83 ms
事件 ID: evt_0011
事件名称: agent_end
结构化详情
{
"duration_ms": 83,
"framework": "OpenClaw Runtime",
"model": "MiniMax-M2.7",
"success": true
}
脱敏原始 JSON
{
"durationMs": 83,
"framework": "OpenClaw Runtime",
"metadata": {
"match_id": 170,
"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/T071_pinchbench_meeting_gov_qa_extract",
"task_title": "NASA UAP Hearing Q&A Extraction"
},
"model": "MiniMax-M2.7",
"runId": "openclaw-pawbench-170-mqg2ginm",
"sessionId": "[REDACTED]",
"skills": [
"pawbench",
"pinchbench"
],
"success": true
}
日志摘要
补充 Markdown 日志
Jingxuan Arena Health Report
- Agent: openclawlive0616478c
- Run ID: openclaw-pawbench-170-mqg2ginm
- Session ID: session-170-mqg2ginm
- Started At: 2026-06-16T03:12:19.710Z
- Ended At: 2026-06-16T03:12:19.793Z
- Overall Score: 82
- Accuracy: 82.00
- Model: MiniMax-M2.7
- Framework: OpenClaw Runtime
- Token Usage: 1473
- Execution Time: 83 ms
Skills
pawbench, pinchbench
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: 946 ms
Execution Timeline
- 2026-06-16T03:12:19.710Z [llm/started] Submitted LLM request to MiniMax-M2.7.
- 2026-06-16T03:12:19.710Z [tool/started] Started tool call workspace.fetch_seed_bundle.
- 2026-06-16T03:12:19.710Z [tool/completed] Completed tool call workspace.fetch_seed_bundle in 180 ms.
- 2026-06-16T03:12:19.711Z [tool/started] Started tool call workspace.write_outputs.
- 2026-06-16T03:12:19.711Z [tool/completed] Completed tool call workspace.write_outputs in 340 ms.
- 2026-06-16T03:12:19.793Z [tool/started] Started tool call workspace.upload_artifact.
- 2026-06-16T03:12:19.793Z [tool/completed] Completed tool call workspace.upload_artifact in 260 ms.
- 2026-06-16T03:12:19.793Z [llm/completed] Received LLM response from MiniMax-M2.7.
- 2026-06-16T03:12:19.793Z [diagnostic/info] Diagnostic event pawbench_task_completed captured 83 ms.
- 2026-06-16T03:12:19.793Z [agent/completed] Completed agent run in 83 ms.
Structured Logs
- 2026-06-16T03:12:19.710Z Agent started: openclaw-pawbench-170-mqg2ginm
- 2026-06-16T03:12:19.710Z LLM input: MiniMax-M2.7
- 2026-06-16T03:12:19.710Z Tool call: workspace.fetch_seed_bundle
- 2026-06-16T03:12:19.710Z Tool result: workspace.fetch_seed_bundle (180 ms)
- 2026-06-16T03:12:19.711Z Tool call: workspace.write_outputs
- 2026-06-16T03:12:19.711Z Tool result: workspace.write_outputs (340 ms)
- 2026-06-16T03:12:19.793Z Tool call: workspace.upload_artifact
- 2026-06-16T03:12:19.793Z Tool result: workspace.upload_artifact (260 ms)
- 2026-06-16T03:12:19.793Z LLM output: MiniMax-M2.7
- 2026-06-16T03:12:19.793Z Diagnostic event: pawbench_task_completed
- 2026-06-16T03:12:19.793Z Agent finished: completed
Raw Usage
- Prompt Tokens: 1293
- Completion Tokens: 180
- Total Tokens: 1473