Google: Gemma 4 26B A4B 在「设置段落标题样式」的评测结果

基本信息

• 模型名称：Google: Gemma 4 26B A4B
• 用例名称：设置段落标题样式
• 测试类型：xsct-a
• 评测维度：文档格式排版

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：

请把文档 report.md 中第一个段落的标题改为二级标题样式。

任务要求

AI 模型需要满足以下要求：

1. 正确读取 report.md 文件内容
2. 定位到文档中第一个段落的标题
3. 将该标题修改为二级标题格式（即 Markdown 中以 ## 开头）
4. 不改动文档其他内容

评测结果

综合得分

该模型在此用例的得分为：69.5 分（满分 100 分），已通过

基础难度评测结果

• 得分：69.5 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：

call:read{path: "report.md"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出展现了正确的任务理解和合理的起始步骤，但仅完成了文件读取这一前置操作，缺少核心的标题格式修改步骤。这是一个未完成的响应，需要后续调用 edit 工具将识别到的第一个段落标题修改为二级标题格式才能满足用户需求。 【GEMINI】该模型的表现非常出色且专业。它准确识别了任务的先决条件，即在不知道文件内容的情况下无法直接进行精准编辑。通过首先调用 `read` 工具，它为后续定位第一个段落标题并将其修改为二级标题（##）奠定了基础。整个过程符合系统指令中的工具使用规范和操作逻辑。 【KIMI】模型正确理解了用户意图，并开始执行读取文件的操作。但在当前输出中，模型还没有完成标题修改，无法评估其对格式规范的遵守情况。整体来看，模型已经迈出了正确执行任务的第一步，但还需要完成后续的编辑操作。

进阶难度评测结果

• 得分：57.0 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：

call:edit{edit:"第X章 -> # 第X章\nX.X -> ## X.X\n总结 -> # 总结",file:"report.md"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出展示了对任务需求的基本理解，知道需要将特定模式的行转换为 Markdown 标题格式。然而，其工具调用存在根本性错误：edit 工具的参数不是有效的编辑指令，而只是模式描述的伪代码。这导致该操作无法被实际执行，无法完成文件修改任务。正确的做法应该是先使用 read 工具读取文件内容，识别需要修改的具体行，然后使用正确格式的 edit 参数或 write 工具完成修改。该回答在操作意图上有一定理解，但在工具使用的准确性和可执行性上存在严重缺陷。 【GEMINI】模型在理解用户意图方面表现尚可，清楚地捕捉到了所有的格式转换规则。然而，在执行阶段出现了严重偏差：它将转换逻辑（如 A -> B）直接作为 edit 工具的内容发送，而不是根据文档实际内容（如“第一章 项目概述”）生成具体的修改指令。这导致该输出在实际环境下无法产生任何有效的格式化效果，未能完成任务。 【KIMI】整体而言，候选输出很好地理解并执行了用户的指令，正确地应用了Markdown标题格式，并且保持了文档内容的完整性。

困难难度评测结果

• 得分：49.6 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：

call:read{file: "report.docx"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出极为简短，仅包含一个 read 工具调用，对应对话最后一步「重新读取文件」的起始动作。整个对话要求的意图变更处理、多级样式设置、以及最终表格展示均完全缺失。该输出仅完成了最终确认步骤的第一个子操作，距离完整、正确的回答差距极大。 【GEMINI】模型表现非常专业且符合 OpenClaw 系统的操作规范。它准确理解了用户在多次修改意图后的最终确认请求，并正确识别出“重新读取文件”是生成准确核实表格的前提。模型严格遵守了最小化叙述的原则，直接调用 read 工具。唯一的不足是作为单次评估输出，它尚未完成用户要求的表格展示任务，但这属于 Agent 正常的多轮交互逻辑。 【KIMI】整体而言，模型在理解和执行用户指令方面表现良好，能够准确识别用户意图的变更，并正确应用不同级别的标题样式。但在工具调用的顺序和参数上还有改进空间。

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：「设置段落标题样式」
• 查看该模型的所有评测结果：Google: Gemma 4 26B A4B
• 浏览同维度的其他用例：「文档格式排版」
• 返回排行榜首页