Anthropic: Claude Sonnet 4.6 在「做一个 PPT 提纲」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：Anthropic: Claude Sonnet 4.6
- 用例名称：做一个 PPT 提纲
- 测试类型：xsct-a
- 评测维度：PPT 与汇报生成
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：
请帮我做一个关于「OpenClaw 核心架构」的 PPT 提纲，要求简洁，总页数控制在 5 页以内。
任务要求
AI 模型需要满足以下要求：
- 必须包含「第1页」和「第2页」的明确标识
- 总页数不得超过 5 页
- 内容必须围绕「OpenClaw 核心架构」展开
- 每页需列出具体的「要点」
评测结果
综合得分
该模型在此用例的得分为：— 分（满分 100 分），未通过
基础难度评测结果
- 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=anthropic/claude-sonnet-4.6）：[app.services.inference.call_text_model][provider=openrouter][model=anthropic/claude-sonnet-4.6] HTTP 400
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型在生成阶段出现系统错误（HTTP 400），未能完成用户指令，无法进行正常的内容评测。 【KIMI】整体评价：生成结果完全不符合要求，没有提供任何PPT提纲内容，而是返回了一个系统错误信息。
进阶难度评测结果
- 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=anthropic/claude-sonnet-4.6）：[app.services.inference.call_text_model][provider=openrouter][model=anthropic/claude-sonnet-4.6] HTTP 400
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】模型未能成功执行任务，没有生成任何与 PPT 提纲相关的输出，而是返回了一个系统错误信息。这表明模型在处理该任务时遇到了问题，无法正确理解和执行用户的指令。 【GEMINI】由于模型生成阶段出现系统报错（HTTP 400），未提供任何实质性的回答，因此在所有评分维度上均判定为 0 分。
困难难度评测结果
- 得分：34.0 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：
系统报错（阶段=模型生成; 模块=app.services.inference.call_text_model; provider=openrouter; model=anthropic/claude-sonnet-4.6）：[app.services.inference.call_text_model][provider=openrouter][model=anthropic/claude-sonnet-4.6] HTTP 400
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】候选输出显示模型在推理调用阶段出现了 HTTP 400 错误，导致没有生成任何有效内容。作为一个专业的 AI 评测专家，由于模型未能产出任何符合任务要求的提纲，故所有评分维度均判定为 0 分。 【KIMI】模型整体表现良好，在容错与恢复能力、上下文理解与交付两个维度都达到了较高的水平。在工具调用失败后能够快速调整策略，准确理解并响应用户的简短追问，生成了结构清晰、要点突出的PPT提纲，较好地完成了任务。
相关链接
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