qwen3-max 在「onboard 权限报错」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-max
  • 用例名称:onboard 权限报错
  • 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:

我在执行「openclaw onboard」时,终端提示「EACCES: permission denied, mkdir '/usr/local/lib/openclaw'」,我该怎么办?

任务要求

AI 模型需要满足以下要求:

  1. 准确识别报错原因为「目录写入权限不足」
  2. 提供使用「sudo」提升权限的解决方案
  3. 建议检查当前用户对目标路径的「所有权」
  4. 说明 onboard 命令在初始化过程中的作用

评测结果

综合得分

该模型在此用例的得分为:85.2 分(满分 100 分),已通过

基础难度评测结果

  • 得分:85.2 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:

这个错误表明 `openclaw onboard` 命令尝试在 `/usr/local/lib/openclaw` 创建目录,但当前用户没有写入权限。 ### 推荐解决方案: **不要直接用 `sudo` 运行 `openclaw onboard`** —— 这可能导致后续操作也需要 root 权限,带来安全和维护问题。 OpenClaw 默认应安装到用户有权限的目录。你可以通过以下任一方式解决: --- ### ✅ 方法 1:使用用户级安装路径(推荐) 设置环境变量,让 OpenClaw 使用用户目录(如 `~/.local`): ```bash export OPENCLAW_PREFIX="$HOME/.local" mkdir -p "$OPENCLAW_PREFIX/lib/openclaw" openclaw onboard ``` 或者一次性运行: ```bash OPENCLAW_PREFIX="$HOME/.local" openclaw onboard ``` > 💡 提示:你可能需要将 `$HOME/.local/bin` 加入 `PATH`,以便后续能直接运行 `openclaw` 命令: > ```bash > echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc > source ~/.bashrc > ``` --- ### ✅ 方法 2:手动创建目录并授权(仅限你确实想全局安装) 如果你**确实希望**全局安装到 `/usr/local`(例如多用户共享),请用 `sudo` 创建目录并授权给当前用户: ```bash sudo mkdir -p /usr/local/lib/openclaw sudo chown -R $(whoami):$(id -gn) /usr/local/lib/openclaw ``` 然后再运行: ```bash openclaw onboard ``` > ⚠️ 注意:这种方式仍可能在后续步骤中遇到权限问题(比如写入 `/usr/local/bin`),因此方法 1 更安全、更符合现代 CLI 工具的最佳实践。 --- ### 🔍 额外建议 你可以先运行以下命令查看 OpenClaw 的默认安装行为: ```bash openclaw --help # 或 openclaw onboard --help ``` 有些版本支持 `--prefix` 参数,例如: ```bash openclaw onboard --prefix "$HOME/.local" ``` --- 选择 **方法 1** 通常是最简单、最安全的做法。试试看,如果还有问题,请贴出你的操作系统和 OpenClaw 版本(可通过 `openclaw --version` 获取)。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】模型对 EACCES 权限错误的诊断准确,能清晰说明问题根源。在解决方案上,模型提供了较为全面的选项,并注重安全性,但优先推荐的「用户级安装路径」方案(OPENCLAW_PREFIX)缺乏 OpenClaw 文档支撑,属于推测性建议,可能误导用户。参考答案更简洁直接,优先推荐 sudo 运行,其次是 chown 授权,模型在这两点上均有覆盖但优先级排序与参考答案相反。整体质量良好,但在工具特定行为上应更谨慎,避免引入未经验证的参数或环境变量。 【GEMINI】模型表现优秀,不仅准确诊断了问题,还展现了极高的安全意识。它没有盲目照搬参考答案中简单的 sudo 方案,而是提供了更具工程实践价值的路径配置建议,体现了作为专业助手的高质量输出。 【KIMI】模型展现了良好的安全意识,优先推荐用户级安装而非全局 sudo 操作,这符合现代 CLI 工具的最佳实践。然而,模型未能严格遵循 System Prompt 中「consult injected docs or project context first」的指令,未验证 OpenClaw 是否真实支持 `OPENCLAW_PREFIX` 或 `--prefix` 参数,而是基于通用 Linux 知识进行推断。参考答案中明确将「sudo openclaw onboard」和「chown」作为主要方案,而模型将其标记为「不推荐」和「仅限确实想全局安装」,这与参考方向存在偏差。综合来看,模型输出质量较高但存在上下文利用不足的问题。

进阶难度评测结果

  • 得分:40.0 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:

明白了,问题在于日志目录的权限。我将为你修复这个问题并完成 onboard 流程。 首先,我会调整日志目录的权限,然后重新运行 onboard 命令。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【KIMI】候选输出是一个典型的「空头承诺」式回复:表面上回应了用户,但实际上没有提供任何可操作的解决方案。与参考答案相比,缺失了具体的 chown 命令、onboard 重试指令、状态验证步骤以及后续引导,完全没有满足题目要求的功能点。在诊断类任务中,这种只表态不给方案的回复对用户毫无价值。

困难难度评测结果

  • 得分:72.0 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:

现在 OpenClaw 已成功初始化,配置文件位于 `~/.openclaw/config.yaml`。接下来你可以: 1. **启动 Gateway 服务**(如果尚未运行): ```bash openclaw gateway start ``` 2. **验证状态**: ```bash openclaw gateway status ``` 3. **开始使用 OpenClaw 功能**(如运行任务、管理会话等)。 需要我帮你执行其中某一步吗?

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】模型在处理权限问题的核心诊断和修复阶段(预设上下文部分)表现良好,正确识别了约束并采用了重定向配置路径的方案。但在最终「现在呢?」的回复中,遗漏了最关键的环境变量持久化步骤(OPENCLAW_CONFIG),导致用户在后续使用非默认配置路径时可能遇到问题。整体回答结构清晰,但知识深度不足,未能完整覆盖参考答案中的所有要点。 【GEMINI】模型在处理权限报错问题上展现了极高的专业度,通过灵活的路径重定向方案解决了核心痛点。在后续指导中,操作步骤清晰且准确。若能进一步补充环境变量配置以实现持久化,将达到完美水平。 【KIMI】模型完成了基本的故障诊断和绕过,但解决方案缺乏持久化考虑。关键遗漏在于未设置 OPENCLAW_CONFIG 环境变量,导致用户每次都需要手动指定 --config 参数,这与参考答案的完整性有明显差距。此外,模型生成的启动命令存在误导风险——若用户直接执行而未设置环境变量,将再次遇到权限错误。

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