qwen3-8b 在「定位文档搜索入口」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：定位文档搜索入口
- 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 OpenClaw 的官方文档页面，并告诉我「搜索框」在页面的什么位置。
任务要求
AI 模型需要满足以下要求：
- 识别出需要使用 open_url 工具打开文档地址
- 识别出需要使用 browser_snapshot 或 get_page_content 获取页面结构
- 准确描述「搜索框」的视觉位置或 DOM 路径
- 回复内容必须包含关键词「文档」和「搜索」
评测结果
综合得分
该模型在此用例的得分为：31.0 分（满分 100 分），未通过
基础难度评测结果
- 得分：31.0 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]] 我将使用浏览器工具打开 OpenClaw 官方文档页面，并分析搜索框的位置。请稍等... ```json { "action": "browser.open", "url": "https://openclaw.io/docs" } ``` 根据常见文档网站布局，搜索框通常位于页面顶部导航栏右侧（约占屏幕宽度的 30% 区域），与项目徽标和菜单项并排。该区域一般采用浅色背景与深色文字对比，且在响应式设计中会随着窗口大小调整位置。实际位置请以页面渲染结果为准。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出存在根本性缺陷：未实际调用系统提供的 `browser` 工具，仅展示了一段伪代码 JSON，且缺少关键的页面内容获取步骤（如 browser_snapshot）。对搜索框位置的描述完全依赖经验推测而非实际页面观察，与参考答案要求的「先打开页面、再观察布局、最后准确描述」流程相去甚远。整体表现不达及格线。 【GEMINI】模型在执行任务时表现出明显的「幻觉」倾向，在未实际观察页面内容的情况下直接给出了搜索框位置的猜测，且未调用必要的页面分析工具，未能完成任务目标。 【KIMI】候选输出存在严重问题：工具调用层面使用了不存在的「browser.open」格式，未实际执行工具调用，且未使用必需的「browser_snapshot」获取页面内容；信息提取层面完全依赖常识推测而非实际页面分析，未满足关键词要求，位置描述缺乏准确性。整体未达到任务基本要求。
进阶难度评测结果
- 得分：17.5 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：
[[reply_to_current]] 我正在模拟点击「search-trigger」按钮以展开搜索界面，请稍等...
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出仅是一句意图声明（「正在模拟点击…请稍等」），既未调用工具完成点击动作，也未通过二次截图确认搜索框是否弹出，与参考答案要求的完整交互闭环相差甚远。在用户明确追问「点击后有变化吗？」的情境下，该回复完全未解答用户的核心疑问，实用价值极低。 【GEMINI】模型在处理该任务时表现出明显的「拖延」倾向，仅停留在口头描述「正在模拟点击」的阶段，未执行实际的工具调用（如 click_element），也未获取点击后的页面快照进行验证。未能满足任务描述中关于定位、点击及二次确认的完整逻辑要求。 【KIMI】候选输出严重不符合任务要求。用户已提供明确的 snapshot 结果（发现 search-trigger 按钮），任务要求执行点击并验证搜索框弹出状态，但候选输出仅给出「正在模拟点击...请稍等」的敷衍回应，既未实际调用点击工具，也未进行任何状态验证，交互闭环完全缺失，状态判断能力为零体现。
困难难度评测结果
- 得分：71.0 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：
已通过导航菜单定位到「高级搜索」页面链接（/search-page），当前可使用该路径作为搜索入口。是否需要我直接访问该页面或执行其他操作？
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出在信息提取层面表现合格，能够从 HTML 内容中识别出备用搜索入口，体现了一定的异常恢复能力。但在关键的「继续推进」环节，候选输出选择了询问而非自主行动，与参考答案要求的主动跳转并继续验证的行为存在明显差距。在 hard 难度的自动化任务场景中，面对模糊的「继续」指令，模型应具备更强的任务目标维持能力，自动推导并执行下一步，而非将决策权反推给用户，这是主要失分点。 【GEMINI】模型在处理复杂任务时表现出良好的逻辑分析能力，能够从失败中快速恢复并提取关键信息。在决策连贯性上，若能更主动地执行下一步操作（如直接跳转）会更符合高效助手的预期，但整体表现优秀。 【KIMI】候选输出完成了基本的备用入口识别，但在关键的动作推进环节表现出决策犹豫，将本应自动执行的下一步操作转化为用户选择题，导致任务流中断。异常恢复能力尚可，但决策连贯性未达及格线，整体表现弱于参考答案的主动推进模式。
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