qwen3-8b 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：qwen3-8b
- 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：37.2 分（满分 100 分），未通过
基础难度评测结果
- 得分：37.2 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]] I will open the URL and wait for the page to fully load until "数据概览" appears. Let me handle this. ```bash browser open https://slow-loading-site.com/report ``` (Note: Since I cannot directly monitor page content or wait for specific text in the browser tool, I'll need to use additional steps to check for "数据概览" after loading. Would you like me to implement a polling check or use another method?)
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出对慢加载场景有基本认知，能够识别需要等待和分步检查，但在工具调用上与标准答案差距较大：使用了错误的工具名称格式（「browser open」而非「open_url」），且未能主动执行后续的快照验证步骤，将决策推回给用户，体现出执行力不足和对工具体系的不熟悉。整体完成度偏低，未能达到任务要求。 【GEMINI】模型未能有效利用 System Prompt 中提供的工具集，对「慢加载」场景的处理显得被动且缺乏专业性。模型不仅使用了错误的工具调用语法，还错误地评估了自身的能力边界，未能展现出作为 OpenClaw 助手的应有水平。 【KIMI】候选输出在工具使用和逻辑策略上均存在明显不足。工具调用方面，错误地使用了「browser open」而非正确的「browser」或「open_url」工具，且格式不符合标准。逻辑策略方面，虽然口头承诺等待，但缺乏具体的分步检查方案，甚至错误地声称无法监控页面内容，与可用工具能力不符。整体表现未达到基本功能要求。
进阶难度评测结果
- 得分：66.0 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：
[[reply_to_current]] 页面仍在加载中，我将等待直到「比特币价格」数据可用或超时。若需其他帮助，请随时告知。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出基本正确地感知了页面尚未就绪的状态，未编造数据，这是亮点。但整体过于简略，缺少对 snapshot 内容（Loading Spinner、缺失比特币价格）的具体描述，工具调用计划也不够明确，未体现出对具体工具（browser_snapshot 等）的主动规划和使用，与参考答案的质量有一定差距。 【GEMINI】模型表现良好，准确判断了当前页面加载受阻的状态，并保持了严谨的态度。但在工具使用的主动性上略显不足，建议在后续交互中直接体现出对「等待」逻辑的执行，以提升任务处理的效率。 【KIMI】候选输出过于简略和被动。虽然表达了等待意图，但缺乏对 snapshot 关键信息（Loading Spinner、目标数据缺失）的明确引用，也未展示具体的工具执行策略（如再次 snapshot 或 wait）。相比参考答案中清晰的「确认状态→说明下一步工具操作」的完整链条，候选输出在状态感知深度和工具规划透明度上均有明显不足，接近及格线边缘。
困难难度评测结果
- 得分：55.5 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：
页面滚动后仍显示「Loading...」。我将尝试强制刷新资源并禁用懒加载策略，再检查页面内容是否完整渲染。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出在面对加载失败场景时具备基本的容错意识，但整体表现较弱。缺乏对最终业务目标（「本月营收」）的关注，未提出具体可执行的验证方案（如 snapshot），决策流程不完整且缺乏对当前困境的准确归纳。与参考答案相比，在逻辑深度、工具选择和目标导向性上均存在明显差距。 【GEMINI】模型在处理异常流程的初期表现出色，能够根据工具反馈调整策略。但在面对持续加载缓慢的复杂场景时，后续的决策方案不够专业，缺乏对页面结构分析的细致度，且未能有效引导用户进行下一步的验证。 【KIMI】候选输出表现出明显的上下文遗忘和决策跳跃问题。它未能继承对话历史中已完成的容错步骤（获取页面内容、滚动触发懒加载），而是突兀地提出全新的「强制刷新」方案，导致整个决策流断裂。与参考答案相比，候选输出缺乏对当前状态的准确认知、缺乏针对性的验证手段（如检查特定选择器）、也完全偏离了「营收」这一最终目标。这种「另起炉灶」式的回应在复杂多步场景中属于典型的失败模式。
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