qwen3-4b 在「首次安装与初始化」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：qwen3-4b
  • 用例名称：首次安装与初始化
  • 测试类型：xsct-a
  • 评测维度：Gateway 配置与管理

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：

我想在本地服务器上安装 OpenClaw Gateway，请告诉我最快的安装命令以及如何启动它来确认服务正常。

任务要求

AI 模型需要满足以下要求：

  1. 准确给出 pip install openclaw-gateway 的安装命令
  2. 说明使用 openclaw-gateway start 或 python -m openclaw_gateway 启动服务
  3. 提到默认监听端口为「8000」或如何查看启动日志
  4. 指出首次启动会生成默认配置文件

评测结果

综合得分

该模型在此用例的得分为：24.5 分（满分 100 分），未通过

基础难度评测结果

  • 得分：24.5 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：

要快速安装和启动 OpenClaw Gateway，请按照以下步骤操作： **安装命令：** ```bash # 对于 Ubuntu/Debian 系统 sudo apt update && sudo apt install -y openclaw-gateway # 对于 CentOS/RHEL 系统 sudo yum install -y openclaw-gateway ``` **启动服务：** ```bash sudo systemctl start openclaw-gateway sudo systemctl enable openclaw-gateway # 设置开机自启 ``` **验证服务状态：** ```bash sudo systemctl status openclaw-gateway ``` 如果系统未预装 OpenClaw Gateway，需先从 [OpenClaw 官方仓库](https://github.com/OpenClaw)克隆源码并编译安装： ```bash git clone https://github.com/OpenClaw/openclaw.git cd openclaw make install ``` 安装完成后，通过 `openclaw-gateway --version` 验证版本，或检查系统服务状态确认服务正常运行。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出在核心指令准确性上严重失分：未使用 pip 安装方式、未使用正确启动命令、未提及端口 8000 及首次启动生成配置文件等关键信息。更重要的是，System Prompt 中已明确提供了 OpenClaw Gateway 的标准管理命令（openclaw gateway start/stop/status），候选输出完全忽视了这些上下文，转而臆造了基于 systemctl 和 apt/yum 的安装流程，属于典型的「幻觉」输出。整体回答虽格式工整，但内容与参考标准严重背离，无法为用户提供正确指导。 【GEMINI】该模型未能识别并利用提供的「Project Context」和「OpenClaw CLI Quick Reference」，而是输出了一套通用的、错误的 Linux 服务安装方案。在面对特定框架的安装任务时，模型未能遵循系统提示词中定义的 CLI 指令集，导致指令准确性极低。 【KIMI】该候选输出在形式上具备技术文档的规范性，但核心内容完全错误。未能正确识别 OpenClaw Gateway 作为 Python 包的安装方式（pip），错误地提供了系统包管理器和源码编译安装路径，且启动命令、服务验证方式均与项目文档不符。关键缺失包括：正确的 pip 安装命令、「openclaw gateway start」启动方式、默认端口 8000、首次启动自动生成 config.yaml 等行为。整体而言，该回复无法帮助用户完成实际的安装与初始化任务。

进阶难度评测结果

  • 得分：57.5 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：

要启动服务并应用配置，请执行以下命令： ```bash openclaw-gateway --port 9090 --debug ``` ✅ **验证配置生效方法**： 1. 检查服务状态：`ps aux | grep gateway` 2. 验证端口监听：`ss -tuln | grep 9090` 3. 查看日志文件（默认路径：`./logs/gateway.log`）是否包含调试信息 4. 访问 http://localhost:9090 查看服务响应 > 注：如果存在`config.yaml`配置文件，命令行参数会覆盖该文件的配置项。调试模式会增加日志输出量，建议在测试后恢复默认配置。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出整体结构清晰，能够回应用户需求，但存在命令格式错误（缺少start子命令）、验证方式不够精准（未指向日志中的关键输出字符串）、未提及config.yaml字段对应关系等问题。对上下文中已检测到config.yaml的信息利用不足，仅在注释中一笔带过。与参考答案相比，在专业准确性和上下文整合能力方面均有提升空间。 【GEMINI】模型在执行任务时未能准确遵循「OpenClaw CLI」的语法规范，遗漏了核心的「start」子命令，导致提供的命令不可用。此外，验证方案过于通用，未结合「调试模式」的特性（如日志级别输出）进行针对性说明，整体表现未达到预期。 【KIMI】候选输出在理解用户需求（自定义端口和调试模式）方面方向正确，但在关键的技术细节上出现错误：启动命令格式不正确（遗漏「start」子命令、错误使用「openclaw-gateway」而非「openclaw gateway」），且验证方式过于通用，未抓住「[DEBUG]」日志和「Listening at」关键输出这一核心验证点。对配置覆盖逻辑的说明流于表面，未深入关联「config.yaml」的具体字段结构。整体表现接近及格线，但技术准确性不足。

困难难度评测结果

  • 得分：36.8 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：

[[reply_to_current]] 我将执行以下步骤： 1. 将配置文件移至用户家目录（~/.openclaw/config.yaml） 2. 生成随机空闲端口 3. 用新配置和端口重新启动服务 请稍等...

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出识别到了两个核心问题（权限和端口冲突），方向基本正确，但整个回复停留在「宣告意图」层面，未给出任何可执行命令，以「请稍等...」收尾，实质上是一个未完成的回复。在「现在呢？」这一追问场景下，用户期望得到完整的修复方案，而非再次等待。与参考答案相比，缺失了 init 命令、完整 start 命令、端口选择理由及「不破坏现状」的明确表述，综合评分偏低。 【GEMINI】模型在处理复杂报错时，虽然逻辑方向正确（避开权限路径、更换端口），但未能将决策转化为具体的工具调用或命令行指令。在用户追问「现在呢？」时，用户期望的是直接的解决方案，而模型仅给出了模糊的步骤描述，导致任务未能闭环。 【KIMI】候选输出在问题识别层面有一定正确性，但在关键的功能交付上严重不足：未提供具体可执行的命令、未明确指定替代端口、未解释报错原理、未体现不杀进程的安全决策逻辑。整体表现为「说了要做但没说明怎么做」，用户无法据此完成Gateway的首次安装与初始化修复。与参考答案相比，信息完整度和可操作性差距显著。

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