Claude Opus 4.6 在「PPT末页机构标注」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：PPT末页机构标注
  • 测试类型：xsct-a
  • 评测维度：演示文稿生成

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：

当前工作区中存在演示文稿 `proposal_draft.pptx`（共 12 页）： - 第1页：封面（标题：智慧社区综合服务平台建设方案） - 第2页：目录 - 第3-4页：项目背景与需求分析 - 第5-6页：解决方案概述 - 第7-8页：技术架构与实施计划 - 第9-10页：预算与效益分析 - 第11页：风险与应对措施 - 第12页：结语与联系方式 请在这份PPT的最后一页（第12页"结语与联系方式"）底部标注所属机构名称：「星河湾智慧科技集团」，要求机构名称居中显示，字体不小于18号。

任务要求

AI 模型需要满足以下要求：

  1. 在第12页（结语与联系方式页）底部添加机构名称文本
  2. 机构名称内容为「星河湾智慧科技集团」，文字准确无误
  3. 机构名称居中显示
  4. 字体大小不小于18号
  5. 不改动PPT其他页面的已有内容

评测结果

综合得分

该模型在此用例的得分为：95.8 分（满分 100 分），已通过

基础难度评测结果

  • 得分：95.8 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：

I'll start by examining the existing PowerPoint file to understand its structure, then add the institution name to slide 12. exec ls -la proposal_draft.pptx exec pip install python-pptx 2>/dev/null | tail -1 exec python3 -c " from pptx import Presentation from pptx.util import Inches, Pt, Emu prs = Presentation('proposal_draft.pptx') slide = prs.slides[11] # Slide 12 (0-indexed) print(f'Slide width: {prs.slide_width}, height: {prs.slide_height}') print(f'Slide width in inches: {prs.slide_width / 914400}, height in inches: {prs.slide_height / 914400}') print(f'Number of shapes on slide 12: {len(slide.shapes)}') for i, shape in enumerate(slide.shapes): print(f' Shape {i}: name={shape.shape_type}, left={shape.left}, top={shape.top}, width={shape.width}, height={shape.height}') if shape.has_text_frame: for p in shape.text_frame.paragraphs: print(f' Text: \"{p.text}\" alignment={p.alignment}') for run in p.runs: print(f' Run: \"{run.text}\" font_size={run.font.size} bold={run.font.bold}') " exec python3 Now let me verify the result: exec python3 -c " from pptx import Presentation prs = Presentation('proposal_draft.pptx') slide = prs.slides[11] print(f'Slide 12 shapes ({len(slide.shapes)}):') for i, shape in enumerate(slide.shapes): print(f' Shape {i}: left={shape.left}, top={shape.top}, w={shape.width}, h={shape.height}') if shape.has_text_frame: for p in shape.text_frame.paragraphs: print(f' Text: \"{p.text}\" alignment={p.alignment}') for run in p.runs: print(f' font_size={run.font.size} ({run.font.size.pt if run.font.size else \"?\"} pt)') " 已完成。在第12页（"结语与联系方式"）底部添加了机构名称「星河湾智慧科技集团」，具体设置如下： - **位置**：页面底部居中（文本框水平居中放置，距页面底部约1英寸） - **对齐**：段落居中对齐（`PP_ALIGN.CENTER`） - **字号**：18磅（满足不小于18号的要求） - **字色**：深灰色（#333333），与正式文档风格协调

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型整体表现优秀，完整实现了任务要求：正确定位第12页、添加准确的机构名称文本、设置居中对齐和18号字体、底部定位合理，并通过验证步骤确认结果。代码结构清晰，使用了标准的 python-pptx API，符合参考答案的关键逻辑。额外添加了字体颜色设置（深灰色），体现了对文档美观性的考量。整体是一个高质量的完成结果。 【GEMINI】模型表现优秀，通过编写并执行 Python 脚本精准完成了对 PPT 的编辑任务。不仅准确添加了文本，还通过代码验证了位置和格式设置，体现了极高的任务执行能力和严谨性。 【KIMI】该候选输出完整完成了任务要求：准确定位到第12页，添加正确的机构名称，设置居中显示和18号字体，且通过验证步骤确认了执行结果。整个流程规范、可复现，无任何功能缺陷。

进阶难度评测结果

  • 得分：94.8 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：

让我先检查工作区中的文件，然后进行修改。 {"name": "ls", "arguments": {}} proposal_draft.pptx {"name": "exec", "arguments": {"command": "pip install python-pptx 2>/dev/null | tail -1"}} Successfully installed python-pptx-1.0.2 {"name": "exec", "arguments": {"command": "cd /home/user && python3 Total slides: 12 === Slide 1 === Layout: Title Slide Shape: PLACEHOLDER (14), name="Title 1", pos=(685800,1981200), size=(7772400,1470025) P0: align=CENTER (2), spc_before=None, spc_after=None, line_spc=None Run: size=381000, bold=True, text="智慧社区综合服务平台建设方案" Shape: PLACEHOLDER (14), name="Subtitle 2", pos=(1143000,3602038), size=(6858000,1655762) P0: align=CENTER (2), spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="Comprehensive Service Platform for Smart Community" === Slide 2 === Layout: Title and Content Shape: PLACEHOLDER (14), name="Title 1", pos=(685800,365125), size=(7772400,1325563) P0: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=317500, bold=True, text="目录" Shape: PLACEHOLDER (14), name="Content Placeholder 2", pos=(685800,1981200), size=(7772400,4114800) P0: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="一、项目背景与需求分析" P1: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="二、解决方案概述" P2: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="三、技术架构与实施计划" P3: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="四、预算与效益分析" P4: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="五、风险与应对措施" P5: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=228600, bold=None, text="六、结语与联系方式" === Slide 3 === Layout: Title and Content Shape: PLACEHOLDER (14), name="Title 1", pos=(685800,365125), size=(7772400,1325563) P0: align=None, spc_before=None, spc_after=None, line_spc=None Run: size=317500, bold=True, text="项目背景"...

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出表现优秀，实际执行了所有排版调整和内容更新，通过代码验证确认了字号（24pt）、行间距（28pt）、目录同步更新（8项）和结语承建单位标注等关键要素，回复清晰专业，多轮对话意图追踪准确，整体质量很高。 【GEMINI】模型表现极其出色，能够熟练运用工具进行复杂的PPT结构调整和格式排版。在处理用户关于字号和间距的细节需求时，不仅执行到位，还通过代码验证确保了最终效果，展现了极高的任务完成度和逻辑一致性。 【KIMI】该候选输出整体表现优秀，完整实现了用户的所有功能要求：排版调整（字号≥24pt、行间距缩小）、目录同步更新确认、承建单位标注，且保持了多轮对话中的一致性。回复专业清晰，参数说明详尽。 minor改进空间在于时间线区分和索引注释的精确性，但不影响最终执行结果的正确性。

困难难度评测结果

  • 得分：94.5 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：

这次需要同时处理多项修改：拆页、调间距、扩充内容，最后导出新文件。让我先确认当前文件状态，再逐步执行。 首先读取当前文件确认结构： {"name": "read", "arguments": {"file_path": "property_digital_transform.pptx"}} [Binary file of type application/vnd.openxmlformats-officedocument.presentationml.presentation, size 36964 bytes] 我需要用 python-pptx 来操作这个文件。先检查环境： {"name": "exec", "arguments": {"command": "python3 -c 'from pptx import Presentation; print(\"pptx available\")'", "timeout": 10}} pptx available 先分析当前PPT的完整结构： {"name": "exec", "arguments": {"command": "python3 === Slide 1 === Shape: PLACEHOLDER (14), name="Title 1", pos=(838200,1825625), size=(7543800,1325563)) P0: "智慧社区物业服务数字化转型升级方案" sizes=[Emu(457200)] Shape: PLACEHOLDER (14), name="Subtitle 2", pos=(1524000,3602038), size=(6400800,1752600)) P0: "锦程数字科技集团有限公司" sizes=[Emu(304800)] P1: "推动物业服务智能化、精细化、高效化" sizes=[Emu(203200)] === Slide 2 === Shape: PLACEHOLDER (14), name="Title 1", pos=(838200,365125), size=(7543800,1325563)) P0: "目录" sizes=[Emu(457200)] Shape: PLACEHOLDER (14), name="Content Placeholder 2", pos=(838200,1825625), size=(7543800,4351338)) P0: "一、物业服务现状与数字化转型需求分析" sizes=[Emu(203200)] P1: "二、数字化转型整体解决方案" sizes=[Emu(203200)] P2: "三、平台技术架构与分期实施计划" sizes=[Emu(203200)] P3: "四、投资预算与预期效益" sizes=[Emu(203200)] P4: "五、智慧物业运营数据看板" sizes=[Emu(203200)] P5: "六、多场景应用案例" sizes=[Emu(203200)] P6: "七、风险评估与应对策略" sizes=[Emu(203200)] P7: "八、结语与联系方式" sizes=[Emu(203200)] === Slide 3 === Shape: PLACEHOLDER (14), name="Title 1", pos=(838200,365125), size=(7543800,1325563)) P0: "物业服务现状分析" sizes=[Emu(457200)] Shape: PLACEHOLDER (14), name="Content Placeholder 2", pos=(838200,1825625), size=(7543800,4351338)) P0: "传统物业管理面临的核心痛点：" sizes=[Emu(203200)] P1: "• 服务响应慢：业主报修、投诉处理流程冗长，缺乏实时跟踪机制" sizes=[Emu(203200)] P2: "• 信息孤岛严重：各业务系统数据不互通，管理决策缺乏数据支撑" sizes=[Emu(203200)] P3: "• 人力成本攀升：依赖大量人工巡检和现场服务，效率低下" sizes=[Emu(203200)] P4: "• 业主满意度下降：服务质量参差不齐，缺乏标准化管理体系" sizes=[Emu(203200)] P5: "• 收费管理困难：物业费催缴效率低，财务透明度不足" sizes=[Emu(203200)] === Slide 4 === Shape: PLACEHOLDER (14), name="Title 1",...

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型整体表现优秀，准确理解并执行了多项复杂修改要求。核心亮点包括：正确处理留白矛盾指令、坚持不缩小字号而是通过拆页解决溢出、完整保留历史修改（机构名称、字号等）、新增案例内容有实质性描述。技术实现上使用python-pptx进行精确操作，并通过验证步骤确认结果。主要不足：应用案例5个场景内容较多，未考虑是否需要拆页；目录章节描述未细化到「看板一/二」的区分。总体来说是一次高质量的多轮编辑任务完成。 【GEMINI】模型表现极其出色，不仅精准理解了复杂的排版与结构调整指令，还通过编写 Python 脚本实现了对 PPT 文件的精确控制。在处理矛盾指令时表现出极高的逻辑处理能力，所有修改要求均得到完美落实，是一次高质量的 AI 辅助创作过程。 【KIMI】模型在多轮复杂修改中表现出色，准确处理了用户的矛盾需求（留白调整）和硬性约束（不缩小字号），通过拆页策略优雅解决了内容溢出问题。结构规划合理，目录同步更新，新增案例内容充实。工具调用专业规范，最终文件命名正确。整体完成度高，是一例优秀的多轮对话任务处理。

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