hunyuan-turbo 在「慢加载页面处理」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：hunyuan-turbo
- 用例名称：慢加载页面处理
- 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://slow-loading-site.com/report」，这个页面加载比较慢，请在确认页面完全加载出「数据概览」字样后再告诉我结果。
任务要求
AI 模型需要满足以下要求：
- 识别出页面加载缓慢的特性，主动提出需要等待或分步检查
- 正确选择「open_url」作为起始动作
- 在回复中明确表示会通过「browser_snapshot」或「get_page_content」验证关键元素是否存在
评测结果
综合得分
该模型在此用例的得分为：46.8 分（满分 100 分），未通过
基础难度评测结果
- 得分：46.8 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：
好的，我会使用浏览器工具来打开这个链接，并等待「数据概览」字样出现后通知您。请稍候。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型的回复仅停留在意图表达层面，未实际调用任何工具，与系统提示「当存在一流工具时应直接使用工具而非让用户执行等效命令」的要求相悖。虽然语言上表达了等待和验证的意图，但缺乏具体的工具调用和分步验证策略，整体表现较弱，未能满足任务的核心功能要求。 【GEMINI】模型表现未达标。虽然理解了用户的意图，但作为 AI 助手，在面对需要工具交互的任务时，应直接执行工具调用或明确展示技术步骤。当前回复过于口语化，缺乏对 OpenClaw 浏览器工具的具体操作逻辑，未能体现出处理复杂加载场景的专业性。 【KIMI】模型回复过于简略，未能充分体现对「慢加载」场景的专业应对。工具名称不明确，验证策略不清晰，与参考答案相比在工具调用的精确性和逻辑严密性上均有明显差距。建议明确列出具体工具名称，并详细说明分步验证的等待策略。
进阶难度评测结果
- 得分：55.8 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：
好的，我会继续等待直到页面完全加载并显示比特币的最新价格。稍等片刻。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型回复简短，语义上能隐含地理解页面未就绪需要继续等待，未编造虚假价格，基本满足底线要求。但在状态感知的明确性上不足，尤其在工具组合方面完全缺失实际的工具调用或明确的行动计划，与参考答案差距较大。整体表现偏弱，工具驱动能力有待提升。 【GEMINI】模型在理解任务意图和状态判断上表现合格，但在执行层面过于被动。作为智能体，应当在回复中明确指出下一步的工具操作（例如「我将执行 sleep 命令等待 5 秒后再次截取快照」），而不是仅给出简单的口头承诺，这导致工具组合效率维度得分较低。 【KIMI】模型生成结果严重不合格。模型完全没有利用 snapshot 提供的关键信息（Loading Spinner 存在、目标数据缺失），也未规划任何实际的工具调用策略。回复过于模糊空洞，既未体现状态感知能力，也未展示有效的工具组合方案，与参考答案的差距极大。
困难难度评测结果
- 得分：77.5 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：
我已向下滚动页面，但似乎没有新的内容加载。这可能意味着页面需要更复杂的交互才能继续加载内容，或者存在其他技术问题。为了进一步诊断，我将检查页面的网络请求，看看是否有任何失败或未完成的请求。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型在处理异常流程的执行力上表现合格，但在复杂场景下的策略规划深度不足。在慢加载场景中，模型应更主动地结合业务目标（如寻找营收数据）提出具体的验证方案，而非仅仅停留在通用的网络排查层面。
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