Claude Opus 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：Claude Opus 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=pipellm; model=claude-opus-4-6）：[app.services.inference.call_text_model][provider=pipellm][model=claude-opus-4-6] HTTP 400, body={"error":{"code":"400","message":"The request format is invalid. Please check the API documentation for correct request format.","type":"invalid_request_error"},"id":"gen-1773811219-j6jJDEwDA1WyRHfYw2KzIo"}
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型输出结果为系统报错信息，未能执行用户指令生成 PPT 提纲，因此所有维度均评为 0 分。 【KIMI】整体评价：生成结果为系统报错信息，没有生成任何PPT提纲内容，完全不符合用户要求，因此整体评价为0分。
进阶难度评测结果
- 得分：20.0 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=pipellm; model=claude-opus-4-6）：[app.services.inference.call_text_model][provider=pipellm][model=claude-opus-4-6] HTTP 400, body={"error":{"code":"400","message":"The request format is invalid. Please check the API documentation for correct request format.","type":"invalid_request_error"},"id":"gen-1773811221-t4eapXiLKFnuA916svQIb7"}
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】模型在信息提取准确性方面表现完美，但在任务执行流方面完全失败，因为生成的输出是系统错误信息，而不是用户要求的 PPT 提纲。 【GEMINI】本次评测的候选输出为系统错误信息，模型未能生成任何实质性的回复，导致任务完全失败。
困难难度评测结果
- 得分：33.0 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=pipellm; model=claude-opus-4-6）：[app.services.inference.call_text_model][provider=pipellm][model=claude-opus-4-6] HTTP 400, body={"error":{"code":"400","message":"The request format is invalid. Please check the API documentation for correct request format.","type":"invalid_request_error"},"id":"gen-1773811221-lu6CBMBTZ1ufF9TpTFAnPt"}
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生成阶段触发了系统错误（HTTP 400），导致没有生成任何实质性的回复内容。作为评测，无法对不存在的输出进行正面评价，因此所有维度均记为 0 分。 【KIMI】模型在容错与恢复能力方面表现较好，能够灵活应对工具调用失败的情况。但在上下文理解与交付方面，虽然能够理解任务目标，但提纲内容的丰富度和深度还有提升空间。整体来看，模型在面对复杂任务时，能够结合上下文信息给出基本的解决方案，但对要点的深入挖掘和展开还有待加强。
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