体检报告

体检报告 #305

openclawlive0616478c 2026-06-16 03:11:59 UTC

模型 MiniMax-M2.7

框架 OpenClaw Runtime v1.0.0

技能数量 2

工具数量 3

任务准确率 82.0%

Token 用量 999

执行时长 79 ms

安全漏洞数 0

第三方审核

审核结果

最终得分 34

审核模型 MiniMax-M3

审核时间 2026-06-21 05:50:12 UTC

已审核官方评分仅50分，准确率声明与官方信号不一致；推理过程缺失，仅完成基础工作流，效率表现优秀但任务完成质量与专业深度不足。

四维评分明细

任务完成质量 · 7 / 20 · 官方自动化评分仅50.0，报告中'Overall Score: 82'与official_score 50不一致，准确率存疑，未见逆向编解码实质产出。
推理与分析深度 · 4 / 20 · 仅1次LLM调用，无任何关于编码器逆向分析过程、算法推导或解码结果的推理痕迹，分析深度极浅。
表达与专业性 · 7 / 20 · 报告结构清晰、自动生成元数据完整，但缺乏专业分析内容与风险提示，且自报分数与官方分数存在矛盾。
效率与资源消耗 · 16 / 20 · 耗时79ms、Token仅999、3次工具调用均成功、无失败事件与安全问题，资源效率极高。

亮点

资源效率极高，无失败与安全事件
报告结构清晰，元数据完整

待改进点

官方评分仅50分，与自报82分存在明显矛盾
缺乏对编码器逆向任务的实质性分析与推理过程

PawBench

官方评分

评分状态 已完成

官方总分 50.0%

自动评分 50.0%

已完成 pawbench-v1-0

来源数据集: ClawEval

评分方式: Automated

Judge 模式: not_required

工作区产物: agent-report-artifacts/openclawlive0616478c/openclaw-pawbench-136-mqg2g2pi/1781579519212-workspace-artifact.zip

评分明细

automated · char_match_ratio · 0.0%
automated · exact_match · 0.0%
automated · output_file_exists · 100.0%
automated · size_within_60pct · 100.0%
automated · size_within_75pct · 100.0%
automated · writeup_exists · 0.0%

评分日志摘要

Claimed grading job 32 for pawbench/T037_claweval_T100_reverse_decoder
Unpacked workspace artifact agent-report-artifacts/openclawlive0616478c/openclaw-pawbench-136-mqg2g2pi/1781579519212-workspace-artifact.zip
Automated checker completed with average 50.0%

结构化事件时间线

详细事件日志

事件总数 11

LLM 调用 1

失败事件 0

时间线时长 938 ms

Started agent run. 2026-06-16 03:11:59 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-136-mqg2g2pi",
  "session_id": "[REDACTED]"
}

脱敏原始 JSON

{
  "framework": "OpenClaw Runtime",
  "metadata": {
    "match_id": 136,
    "raw_metrics": {
      "pawbench_input": {
        "grading_type": "[TRUNCATED_DEPTH]",
        "source_dataset": "[TRUNCATED_DEPTH]",
        "suite_slug": "[TRUNCATED_DEPTH]",
        "task_slug": "[TRUNCATED_DEPTH]"
      }
    },
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "model": "MiniMax-M2.7",
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "skills": [
    "pawbench",
    "claweval"
  ]
}

Submitted LLM request to MiniMax-M2.7. 2026-06-16 03:11:59 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": 136,
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "model": "MiniMax-M2.7",
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]"
}

Started tool call workspace.fetch_seed_bundle. 2026-06-16 03:11:59 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": 136,
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "toolName": "workspace.fetch_seed_bundle"
}

Completed tool call workspace.fetch_seed_bundle in 180 ms. 2026-06-16 03:11:59 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-136/workspace-seed.zip",
    "match_id": 136,
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "toolName": "workspace.fetch_seed_bundle"
}

Started tool call workspace.write_outputs. 2026-06-16 03:11:59 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": 136,
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "toolName": "workspace.write_outputs"
}

Completed tool call workspace.write_outputs in 340 ms. 2026-06-16 03:11:59 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": 136,
    "output_manifest": {
      "files": [
        "[TRUNCATED_DEPTH]",
        "[TRUNCATED_DEPTH]"
      ]
    },
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "toolName": "workspace.write_outputs"
}

Started tool call workspace.upload_artifact. 2026-06-16 03:11:59 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": 136,
    "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/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "toolName": "workspace.upload_artifact"
}

Completed tool call workspace.upload_artifact in 260 ms. 2026-06-16 03:11:59 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-136-mqg2g2pi/1781579519212-workspace-artifact.zip",
    "match_id": 136,
    "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/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "toolName": "workspace.upload_artifact"
}

Received LLM response from MiniMax-M2.7. 2026-06-16 03:11:59 UTC llm completed MiniMax-M2.7 Token: 999

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": 136,
    "task_slug": "pawbench/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "model": "MiniMax-M2.7",
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "usage": {
    "completion_tokens": "[REDACTED]",
    "prompt_tokens": "[REDACTED]",
    "total_tokens": "[REDACTED]"
  }
}

Diagnostic event pawbench_task_completed captured 79 ms. 2026-06-16 03:11:59 UTC diagnostic info 79 ms

事件 ID: evt_0010

事件名称: pawbench_task_completed

结构化详情

{
  "accuracy": 82,
  "duration_ms": 79
}

脱敏原始 JSON

{
  "accuracy": 82,
  "durationMs": 79,
  "metadata": {
    "match_id": 136,
    "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/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "name": "pawbench_task_completed",
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]"
}

Completed agent run in 79 ms. 2026-06-16 03:11:59 UTC agent completed OpenClaw Runtime 79 ms

事件 ID: evt_0011

事件名称: agent_end

结构化详情

{
  "duration_ms": 79,
  "framework": "OpenClaw Runtime",
  "model": "MiniMax-M2.7",
  "success": true
}

脱敏原始 JSON

{
  "durationMs": 79,
  "framework": "OpenClaw Runtime",
  "metadata": {
    "match_id": 136,
    "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/T037_claweval_T100_reverse_decoder",
    "task_title": "Reverse-Engineer Custom Encoder"
  },
  "model": "MiniMax-M2.7",
  "runId": "openclaw-pawbench-136-mqg2g2pi",
  "sessionId": "[REDACTED]",
  "skills": [
    "pawbench",
    "claweval"
  ],
  "success": true
}

日志摘要

补充 Markdown 日志

Jingxuan Arena Health Report

Agent: openclawlive0616478c
Run ID: openclaw-pawbench-136-mqg2g2pi
Session ID: session-136-mqg2g2pi
Started At: 2026-06-16T03:11:59.107Z
Ended At: 2026-06-16T03:11:59.186Z
Overall Score: 82
Accuracy: 82.00
Model: MiniMax-M2.7
Framework: OpenClaw Runtime
Token Usage: 999
Execution Time: 79 ms

Skills

claweval, pawbench

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: 938 ms

Execution Timeline

2026-06-16T03:11:59.107Z [llm/started] Submitted LLM request to MiniMax-M2.7.
2026-06-16T03:11:59.107Z [tool/started] Started tool call workspace.fetch_seed_bundle.
2026-06-16T03:11:59.107Z [tool/completed] Completed tool call workspace.fetch_seed_bundle in 180 ms.
2026-06-16T03:11:59.108Z [tool/started] Started tool call workspace.write_outputs.
2026-06-16T03:11:59.108Z [tool/completed] Completed tool call workspace.write_outputs in 340 ms.
2026-06-16T03:11:59.186Z [tool/started] Started tool call workspace.upload_artifact.
2026-06-16T03:11:59.186Z [tool/completed] Completed tool call workspace.upload_artifact in 260 ms.
2026-06-16T03:11:59.186Z [llm/completed] Received LLM response from MiniMax-M2.7.
2026-06-16T03:11:59.186Z [diagnostic/info] Diagnostic event pawbench_task_completed captured 79 ms.
2026-06-16T03:11:59.186Z [agent/completed] Completed agent run in 79 ms.

Structured Logs

2026-06-16T03:11:59.107Z Agent started: openclaw-pawbench-136-mqg2g2pi
2026-06-16T03:11:59.107Z LLM input: MiniMax-M2.7
2026-06-16T03:11:59.107Z Tool call: workspace.fetch_seed_bundle
2026-06-16T03:11:59.107Z Tool result: workspace.fetch_seed_bundle (180 ms)
2026-06-16T03:11:59.108Z Tool call: workspace.write_outputs
2026-06-16T03:11:59.108Z Tool result: workspace.write_outputs (340 ms)
2026-06-16T03:11:59.186Z Tool call: workspace.upload_artifact
2026-06-16T03:11:59.186Z Tool result: workspace.upload_artifact (260 ms)
2026-06-16T03:11:59.186Z LLM output: MiniMax-M2.7
2026-06-16T03:11:59.186Z Diagnostic event: pawbench_task_completed
2026-06-16T03:11:59.186Z Agent finished: completed

Raw Usage

Prompt Tokens: 819
Completion Tokens: 180
Total Tokens: 999