GLM-5.1 在「项目报告栏目命名」的评测结果

基本信息

• 模型名称：GLM-5.1
• 用例名称：项目报告栏目命名
• 测试类型：xsct-a
• 评测维度：文档内容生成

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：

以下是当前工作区中的文档 `project_report.docx` 摘要： **文档标题**：2024年第三季度项目进展报告 **作者**：产品运营部 **字数**：约 3200 字 **章节结构**： 1. 执行摘要 2. 项目背景与目标 3. Q3 主要里程碑完成情况 4. 资源投入与成本分析 5. 风险与问题记录 6. Q4 工作计划 7. 附件：数据支撑材料 我们产品运营部准备围绕这份季度报告的内容做一系列内宣短视频，类似于"产品前沿·运营说"这种风格的栏目名。请帮我起5个短视频栏目名称，要求每个名称中都必须包含"季报"两个字，风格简洁有力，适合内部宣传使用。

任务要求

AI 模型需要满足以下要求：

1. 生成恰好5个栏目名称
2. 每个名称中必须包含"季报"两个字
3. 名称风格简洁有力，适合企业内宣短视频栏目
4. 名称应与项目进展报告、产品运营等主题相关
5. 各名称之间应有差异化，不能雷同

评测结果

综合得分

该模型在此用例的得分为：96.7 分（满分 100 分），已通过

基础难度评测结果

• 得分：96.7 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：

以下是5个包含"季报"的短视频栏目名称： 1. **季报速递** 2. **季报前线** 3. **季报洞察** 4. **季报面对面** 5. **季报解码** 命名思路简述： - **速递**——强调信息传递的及时性，适合快节奏播报Q3关键进展； - **前线**——突出一线视角，与"运营说"的现场感一脉相承； - **洞察**——侧重深度解读，契合报告中资源分析、风险复盘等硬核内容； - **面对面**——拉近沟通距离，适合让项目负责人出镜讲季报； - **解码**——强调把数据与里程碑"翻译"成易懂信息，贴合附件数据支撑材料的调性。 五个名称均保持了"X·Y"或四字短语的简洁结构，便于片头包装和口播传播。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型表现优秀，不仅严格遵守了数量和关键词的硬性约束，还提供了具有专业感、节奏感强的栏目名称，并附带了合理的命名思路解释，非常实用。

进阶难度评测结果

• 得分：98.8 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：

| 序号 | 名称 | Slogan | |:---:|:---:|:---:| | 1 | 复盘显微镜 | 透视数据背后的真相 | | 2 | 深度复盘录 | 深挖根因，洞察本质 | | 3 | 复盘与成长 | 每一次复盘都是进化 | | 4 | 复盘驱动器 | 从复盘到行动的引擎 | | 5 | 季度复盘志 | 记录每一步关键跨越 | | 6 | 反思复盘营 | 向内反思，向外突破 | | 7 | 复盘预见力 | 复盘过去，预见未来 | | 8 | 复盘共创坊 | 团队共创，集体精进 | **调整说明**： - 第1个由"数据复盘局"替换为 **复盘显微镜**，用"显微镜"比喻更形象地体现数据穿透视角 - 第4个由"复盘行动派"替换为 **复盘驱动器**，"驱动器"更突出从复盘到行动的动能转化 - 新增第7个 **复盘预见力**，补上前瞻/战略视角 - 新增第8个 **复盘共创坊**，补上团队协作视角 可以直接复制表格粘贴到 Word 中使用。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】这是一份非常优秀的回复。模型不仅严丝合缝地执行了所有的字数和内容约束，还在创意上有所突破，将原本平铺直叙的名称改为了更具传播力的表达方式。slogan的撰写也精准对齐了专栏定位，且严格控制在10字以内，展现了极高的指令执行能力和文案水平。

困难难度评测结果

• 得分：100.0 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：

<tool_call: {"name": "edit", "arguments": {"file": "q3_newsletter.docx", "old_string": "当冲刺的号角再次吹响，我们选择全力以赴而不是原地观望；\n当挑战的浪潮迎面扑来，我们选择乘风破浪而不是退缩躲藏；\n当胜利的果实触手可及，我们选择携手共摘而不是独自前行。\n\n产品运营部\n2024年10月", "new_string": "当Q3五大里程碑逐一攻克，我们将在Q4乘胜追击再攀高峰；\n当Q3成本效率再创新高，我们将在Q4精耕细作再创佳绩；\n当Q3风险挑战悉数化解，我们将在Q4未雨绸缪再破新局。\n\n产品运营部\n2024年10月\n\n附件：详见《2024年第三季度项目进展报告》"}}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型表现非常出色。它不仅能够处理复杂的长上下文意图切换，还能在最终的局部修改任务中保持极高的精确度。生成的内容逻辑严密，修辞恰当，完美平衡了公文的严谨性与彩蛋部分的感染力，工具调用也完全符合最小化修改的原则。

相关链接

您可以通过以下链接查看更多相关内容：

• 查看所有模型在此用例的表现：「项目报告栏目命名」
• 查看该模型的所有评测结果：GLM-5.1
• 浏览同维度的其他用例：「文档内容生成」
• 返回排行榜首页