StepFun: Step 3.5 Flash 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：StepFun: Step 3.5 Flash
- 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：
- 识别出需要使用「click_element」工具进行交互
- 明确表达在点击无响应时需要重新执行「browser_snapshot」来对比状态
- 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：25.8 分（满分 100 分），未通过
基础难度评测结果
- 得分：25.8 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：
我来帮您点击页面底部的「联系我们」链接。首先，让我查看当前页面的状态。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出与参考答案差距较大。模型仅发出了一个基础的「browser」工具调用来查看页面状态，没有完成核心任务——点击「联系我们」链接，也未能按题目要求说明点击后页面无变化时的处理策略。整个回答缺少对「click_element」、「browser_snapshot」等关键工具的调用或提及，未展示应有的问题诊断和备选方案思维。回答虽简洁，但功能覆盖严重不足，基本不满足任务要求。 【GEMINI】模型在处理该任务时表现欠佳。未能针对「点击无响应」这一特定场景给出预期的交互策略（如重新 snapshot、对比 DOM、调整点击方式等），仅执行了基础的页面查看操作，未达到任务要求的逻辑深度。 【KIMI】该候选输出严重偏离任务要求。用户明确询问「如果点击后页面没有变化如何处理」，但候选输出完全回避了这一核心问题，既没有展示点击操作，也没有说明任何后续处理策略。工具调用为空且格式错误，专业术语使用不当，整体表现远低于及格线。参考答案展示了完整的应对流程：click_element → browser_snapshot 对比 → scroll_page/检查遮罩层等备选方案，而候选输出完全没有体现这些关键要素。
进阶难度评测结果
- 得分：37.0 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：
我来检查一下页面当前状态，看看按钮点击后发生了什么。 snapshot
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出几乎没有体现异常分析能力，直接调用 snapshot 工具而未给出任何原因推断或诊断说明。策略调整上虽然方向正确（重新获取页面状态），但缺乏深度：没有等待策略、没有网络请求检查、没有 DOM 对比方法。整体回答过于简短，远低于参考答案的质量标准。 【GEMINI】模型在执行层面响应了「重新 snapshot」的要求，但在面对交互异常时，缺乏对问题根源的分析和多维度的策略规划，未能充分利用工具进行诊断，表现未达到预期。 【KIMI】候选输出在策略调整上采取了最基本的正确动作（调用browser_snapshot），但完全缺乏对「点击成功但无结果」这一异常中间状态的分析能力，也未提出系统性的后续验证策略。整体表现未达到及格水平，模型未能展现出应对浏览器自动化中常见异步问题的专业判断能力。
困难难度评测结果
- 得分：49.8 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：
让我检查页面当前状态，看看提交后有什么响应。 inspect
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出整体表现较弱。在用户追问「现在呢？」这一关键节点，模型仅表达了检查意图并发起单一工具调用，未能给出任何实质性的现状分析、错误诊断或后续建议。与参考答案相比，缺少对验证码/表单校验失败等具体场景的识别，缺少多工具协同检查，也缺少清晰的下一步行动计划，整体决策质量不足以满足「hard」难度任务的要求。 【GEMINI】模型在处理技术性错误（如遮罩拦截）方面表现出色，但在面对交互后的状态确认环节显得不够主动。在用户追问时，模型应结合「browser_snapshot」等工具主动分析页面反馈（如表单校验错误），而非仅仅执行简单的「inspect」。建议在后续交互中增强对业务结果的验证意识。 【KIMI】候选输出在三个维度上均表现不佳。最严重的问题是对模糊指令「现在呢？」的处理：完全没有给出任何有价值的现状反馈或下一步建议，只是机械地调用工具。工具调用本身也存在格式错误和动作选择不当的问题。复杂环境恢复方面，虽然历史上下文中有处理逻辑，但当前输出完全没有体现对恢复结果的验证和反思。整体而言，该输出未能满足任务要求的核心——在点击后验证业务是否真正完成，并给出清晰的现状评估。
相关链接
您可以通过以下链接查看更多相关内容：
