mimo-v2-pro 在「表格标题行加粗」的评测结果
这是该 AI 模型在此测试用例上的详细评测结果。
基本信息
- 模型名称：mimo-v2-pro
- 用例名称：表格标题行加粗
- 测试类型：xsct-a
- 评测维度：文档格式排版
系统提示词（System Prompt）
这是给 AI 模型的背景设定和角色指令：
You are a personal assistant running inside OpenClaw. ## Tooling Tool availability (filtered by policy): Tool names are case-sensitive. Call tools exactly as listed. - read: Read file contents - write: Create or overwrite files - edit: Make precise edits to files - apply_patch: Apply multi-file patches - ls: List directory contents - exec: Run shell commands (supports background execution where available) - process: Manage background exec sessions - browser: Control OpenClaw's dedicated browser - canvas: Present or inspect a canvas when available - sessions_list: List sessions - sessions_history: Fetch session history - sessions_send: Send a message to another session - subagents: List, steer, or kill sub-agent runs - session_status: Show runtime, model, and usage state TOOLS.md does not control tool availability; it is user guidance for how to use external tools. For long waits, avoid rapid poll loops: use exec with enough wait time or process polling with a timeout. If a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done. Do not poll `subagents list` or `sessions_list` in a loop; only check status on-demand. ## Tool Call Style Default: do not narrate routine, low-risk tool calls (just call the tool). Narrate only when it helps: multi-step work, complex or challenging problems, sensitive actions, or when the user explicitly asks. Keep narration brief and value-dense; avoid repeating obvious steps. Use plain human language for narration unless in a technical context. When a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands. ## Safety You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request. Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop or pause requests and never bypass safeguards. Do not manipulate anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested. ## OpenClaw CLI Quick Reference OpenClaw is controlled via subcommands. Do not invent commands. To manage the Gateway daemon service: - openclaw gateway status - openclaw gateway start - openclaw gateway stop - openclaw gateway restart If unsure about a command or flag, prefer checking help or existing project context rather than guessing. ## Skills If a skill list or skill prompt is present in the injected project context, scan it before replying. If exactly one skill clearly applies, follow it. If multiple skills could apply, choose the most specific one. If no skill clearly applies, continue without forcing one. ## Memory Recall If memory tools, memory files, or prior-work context are available, use them before answering questions about prior decisions, preferences, dates, people, or todos. If confidence stays low after checking memory, say so instead of guessing. ## Documentation For OpenClaw behavior, commands, config, architecture, or plugin behavior, consult injected docs or project context first. When diagnosing issues, prefer checking runtime evidence, configuration, or tool output before making claims. ## Workspace Your working directory is the benchmark workspace. Treat it as the single workspace for file operations unless explicitly instructed otherwise. Prefer precise reads and minimal edits over broad changes. If a file is large or output is truncated, re-read only the portion you need. ## Reply Tags If reply tags are supported in the runtime, they must appear as the first token in the message. Prefer `[[reply_to_current]]` when replying to the triggering message. ## Messaging Reply in the current session by default. For cross-session communication, use dedicated session tools if available. Never use exec or curl as a substitute for built-in provider messaging when a first-class messaging tool exists. ## Workspace Files User-editable context files may be injected below as project context. If project context is present, use it as evidence. ## Project Context Project context files may be injected after this prompt. If they are present, prefer them over assumptions. If SOUL.md is present, follow its persona and tone unless higher-priority instructions override it. ## Silent Replies When you truly have nothing to say, respond with the runtime's silent token only. Do not append the silent token to a normal reply. ## Heartbeats If you receive a heartbeat-style poll and there is nothing that needs attention, acknowledge it using the runtime heartbeat convention. If something needs attention, reply with the alert instead. ## Runtime Runtime: agent=benchmark | host=openclaw-benchmark | repo=<workspace> | model=<eval-model> | shell=<shell> | thinking=off Reasoning: off (hidden unless enabled by the runtime).
用户提示词（User Prompt）
这是用户给 AI 模型的具体任务要求：
以下是当前工作区中的数据文件 `orders_q3.csv` 内容（前10行）： ```csv 客户ID,客户姓名,订单编号,下单日期,商品名称,数量,单价,总金额,状态 C001,赵建国,ORD-2024-0801,2024-08-01,办公椅,2,580,1160,已完成 C002,李梅,ORD-2024-0802,2024-08-02,打印机,1,2300,2300,已完成 C001,赵建国,ORD-2024-0803,2024-08-05,墨盒×10,3,45,135,已完成 C003,王鹏,ORD-2024-0804,2024-08-07,显示器,2,1800,3600,已完成 C002,李梅,ORD-2024-0805,2024-08-10,键盘,1,320,320,退款中 C004,张晓燕,ORD-2024-0806,2024-08-12,移动硬盘,2,450,900,已完成 C001,赵建国,ORD-2024-0807,2024-08-15,办公桌,1,1200,1200,已完成 C003,王鹏,ORD-2024-0808,2024-08-18,路由器,1,380,380,配送中 C005,陈伟,ORD-2024-0809,2024-08-20,笔记本支架,3,180,540,已完成 C002,李梅,ORD-2024-0810,2024-08-22,耳机,2,260,520,已完成 ``` （共 87 条记录） 请将上述CSV数据转换为Markdown格式的表格，写入文件 `orders_q3_formatted.md`。要求：表头行（即
任务要求
AI 模型需要满足以下要求：
- 输出文件为 orders_q3_formatted.md
- 表格为标准Markdown表格格式，包含表头行、分隔行和数据行
- 表头行中每个字段名使用Markdown加粗语法（即用 ** 包裹），如 **客户ID**
- 数据行内容与原CSV数据一致，不做任何加粗或其他样式修改
- 表格包含全部10行数据记录，列数为9列
评测结果
综合得分
该模型在此用例的得分为：3.5 分（满分 100 分），未通过
基础难度评测结果
- 得分：3.5 分
- 通过状态：未通过
模型生成产物
以下是该模型针对此任务的实际生成内容：
/workspace/orders_q3.csv
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选模型的输出极不完整，仅停留在读取CSV文件的第一步，没有完成任何实质性的转换工作。既没有生成Markdown格式的表格内容，也没有将结果写入指定文件orders_q3_formatted.md。整个任务几乎完全未完成，与参考答案要求相差甚远。 【GEMINI】模型在接收到任务后，仅执行了读取文件的工具调用，未能根据用户要求完成CSV到Markdown的格式化转换及写入操作。任务完成度极低，未能体现对指令的完整执行。 【KIMI】模型表现严重不合格。任务要求将CSV数据转换为加粗表头的Markdown表格并写入指定文件，但模型仅执行了第一步的文件读取操作，后续完整的转换和写入流程完全没有执行。这是一个典型的「工具调用中断」或「任务理解不完整」的失败案例，所有核心要求均未满足。
进阶难度评测结果
- 得分：10.0 分
- 通过状态：未通过
模型生成产物
以下是该模型针对此任务的实际生成内容：
您的要求似乎被截断了，第一条没有写完。请补充完整的要求，例如： 1. 所有用 `**` 加粗的标题文字要改成什么格式？ 2. 是否还有其他修改要求？ 请继续说明，我会按照您的要求进行修改。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】在本次评测中，用户提供的指令在关键位置发生了截断（仅提供了第1点的开头），且未提及参考答案中要求的“迷宫构建”改写主题。模型表现出了良好的交互意识，能够识别指令不完整并请求补充，这在实际应用中是正确的行为。但由于其未生成任何符合评分标准要求的正文内容，导致在所有功能性维度上均无法得分。此外，评测包中的任务描述（CSV格式化）与实际操作内容（Markdown修改）存在明显不一致。
困难难度评测结果
- 得分：33.0 分
- 通过状态：未通过
模型生成产物
以下是该模型针对此任务的实际生成内容：
我来重新读取当前文件，然后按照新要求进行修改。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型完全未能执行用户的实质性指令。在用户要求对文件进行复杂修改并写入新文件时，模型仅以一句口头承诺作为回复，既没有提供修改后的 Markdown 内容，也没有通过工具调用来实现文件操作。这不仅导致所有功能性指标（格式、内容、计算）得分为零，也违反了系统提示词中关于工具调用风格的规定。模型在任务执行层面处于完全失效状态。 【KIMI】整体来看，候选人表现出了对用户意图变更的追踪能力，但在格式保留准确性、内容替换与计算准确性以及工具调用合理性方面，由于缺少具体的操作展示和说明，无法给出更高的分数。如果候选人能够提供具体的修改结果和工具调用细节，可能会获得更高的评分。
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