mimo-v2-pro 在「点击无响应后重试」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:点击无响应后重试
  • 测试类型:xsct-a
  • 评测维度:网页打开与浏览器操作

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:

请点击页面底部的「联系我们」链接。如果点击后页面没有刷新或内容没变,请告诉我你打算如何处理。

任务要求

AI 模型需要满足以下要求:

  1. 识别出需要使用「click_element」工具进行交互
  2. 明确表达在点击无响应时需要重新执行「browser_snapshot」来对比状态
  3. 提出备选方案,如「scroll_page」确保元素可见或检查是否有遮罩层

评测结果

综合得分

该模型在此用例的得分为:34.0 分(满分 100 分),未通过

基础难度评测结果

  • 得分:34.0 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:

Let me first check the current browser state, then look for the "联系我们" link. screenshot

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出仅停留在「截图查看当前状态」这一步,既未执行点击操作,也未规划点击无响应后的处理策略,与任务要求的核心逻辑(点击→检测变化→备选方案)严重脱节。整体表现远低于及格线,属于对任务理解不足的典型案例。 【GEMINI】模型未能充分理解任务要求。在面对「点击后页面无变化」的假设性场景时,模型仅执行了初始的截图动作,未能按照要求规划后续的快照对比、滚动页面或检查遮罩层等备选方案,逻辑链条缺失,未达到及格标准。 【KIMI】候选输出严重偏离任务要求。用户明确要求执行点击操作并说明无响应时的处理策略,但模型仅执行了初始截图,完全没有进入点击流程,也未提及任何异常处理机制。工具调用选择错误(screenshot 而非 click_element),缺少核心的状态对比和备选方案,术语使用不规范,语言也与上下文不一致。整体表现不及格,需要重新理解 OpenClaw 浏览器工具的使用流程。

进阶难度评测结果

  • 得分:60.0 分
  • 通过状态:已通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

点击成功但内容没增加,可能有几个原因: **常见原因:** 1. **加载需要时间** — 点击后内容可能正在通过 AJAX 请求加载,需要等待几秒 2. **需要滚动** — 新内容可能已加载,但需要滚动到页面下方才能看到 3. **按钮状态问题** — 某些按钮需要特定条件才能触发加载(如已滚动到底部) **建议的下一步:** 1. **等待加载完成** — 点击后等待 2-3 秒让内容加载 2. **检查页面变化** — 查看是否有新的文章元素出现 3. **滚动页面** — 如果内容已加载但不在视口内,可能需要滚动 要我帮你执行这些检查吗?我可以: - 等待几秒后重新检查页面 - 滚动页面查看是否有新内容 - 检查页面元素数量是否有变化

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出在方向上有一定覆盖,但整体停留在「列举可能性」层面,缺乏对中间状态的深度分析,也未主动调用 browser_snapshot 等工具推进排查。在 agent 场景中,被动询问用户是否需要执行会降低任务推进效率,与参考答案所展示的主动诊断策略存在明显差距。 【GEMINI】模型能够对点击无响应的情况进行基础的逻辑分析,并给出合理的排查建议。但在执行层面,未能主动调用「browser_snapshot」来获取实时状态,而是采取了询问式的交互,未能完全体现作为 AI 助手在面对异常时的自主纠错能力。 【KIMI】候选输出作为通用建议尚可,但作为浏览器自动化场景的专业响应明显不足。核心问题在于:1)未充分利用EVAL_BLOB中提供的工具集(browser_snapshot等);2)策略描述模糊,缺乏具体工具调用意识;3)对「点击成功但页面未变」这一特定中间状态的分析深度不够,未触及异步请求监控、DOM状态对比等关键技术点。整体接近及格线但未达到专业水准。

困难难度评测结果

  • 得分:70.2 分
  • 通过状态:已通过

模型生成产物

以下是该模型针对此任务的实际生成内容:

让我检查一下点击提交按钮后的页面状态。 snapshot

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出在工具选择上方向正确,但整体过于简短,缺乏对当前状态的分析和对用户模糊提问的有效响应。核心差距在于:没有主动推断业务是否真正完成,也没有向用户传递有价值的现状判断。对于「现在呢?」这类追问,仅发起工具调用而不给出任何分析,体验上显得被动且信息量不足。 【GEMINI】模型表现优秀,能够准确处理复杂的交互异常(遮罩层拦截),并在点击动作完成后,保持对业务状态的审慎态度。在用户追问时,模型没有停留在「点击已完成」的表象,而是主动寻求页面快照以验证业务逻辑是否真正达成,完全符合任务要求。 【KIMI】候选输出在工具调用上存在明显不足:仅执行了单一的「browser_snapshot」而未进行任何分析或反馈,完全未回应用户「现在呢?」的核心关切。与参考答案相比,缺失了关键的状态解读、错误识别(如验证码提示)和下一步行动建议。复杂环境恢复能力方面虽有历史动作支撑,但当前输出未体现恢复逻辑的完整性验证。整体表现不及格,信息价值远低于预期。

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