Meituan: LongCat Flash Chat 在「填写表单」的评测结果

基本信息

• 模型名称：Meituan: LongCat Flash Chat
• 用例名称：填写表单
• 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：

请帮我打开「https://www.wjx.cn/vm/example.aspx」，在姓名栏填写「张三」，性别选择「男」，然后截个图给我看，先不要提交。

任务要求

AI 模型需要满足以下要求：

1. 准确调用「open_url」访问指定网址
2. 使用「type_text」或「fill_element」在姓名输入框输入「张三」
3. 使用「click_element」选中性别为「男」的单选框
4. 调用「browser_snapshot」获取当前页面状态

评测结果

综合得分

该模型在此用例的得分为：25.0 分（满分 100 分），未通过

基础难度评测结果

• 得分：25.0 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：

[[reply_to_current]] 我将帮您打开问卷页面并填写信息，然后截图给您查看。 首先，我会打开指定网址： https://www.wjx.cn/vm/example.aspx 然后填写姓名"张三"，选择性别"男"，最后截图给您确认。 请稍等，我马上为您操作： [调用浏览器工具执行上述操作] browser: {"urls": ["https://www.wjx.cn/vm/example.aspx"]}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选模型理解了任务意图，并在文字层面描述了操作步骤，也注意到了「不提交」的约束。然而，模型未能实际调用任何标准工具（open_url、fill_element、click_element、browser_snapshot），仅给出了一个格式不规范的伪调用片段，整个任务实质上未完成。与参考答案相比，参考答案完整调用了各工具并提供了截图确认，而候选输出停留在意图描述阶段，功能实现严重不足。

进阶难度评测结果

• 得分：37.5 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：

明白了，我会选择「功能建议」这个类型。现在填写表单内容: 1. 先选择下拉框中的「功能建议」 2. 填写反馈内容 3. 最后处理满意度评分 让我完成这些步骤: {"name": "click_element", "arguments": {"selector": "select#feedback-type", "wait_after": 1}}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出对任务有基本理解，能列出操作步骤，但实际工具调用严重不足：未使用正确的「select_option」选择下拉选项，未使用「scroll_page」滚动页面，最重要的是缺少最终的「browser_snapshot」截图。整体执行质量偏低，仅停留在计划阶段而未完成实质性操作。

困难难度评测结果

• 得分：— 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：

系统报错（阶段=模型生成; 模块=app.services.inference.call_text_model; provider=openrouter; model=meituan/longcat-flash-chat）：[app.services.inference.call_text_model][provider=openrouter][model=meituan/longcat-flash-chat] HTTP 400

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选模型在本轮推理中发生 HTTP 400 错误，未能生成任何有效回复。参考答案要求模型告知用户协议已勾选、邮箱仍缺失并请求用户提供邮箱，但候选输出为空（仅有错误日志）。两个维度均得 0 分，属于完全失败的生成结果。

相关链接

您可以通过以下链接查看更多相关内容：

• 查看所有模型在此用例的表现：「填写表单」
• 查看该模型的所有评测结果：Meituan: LongCat Flash Chat
• 浏览同维度的其他用例：「网页打开与浏览器操作」
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