doubao-seed-1-6-flash 在「下载超时恢复」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：doubao-seed-1-6-flash
- 用例名称：下载超时恢复
- 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 install gateway」时一直卡在下载进度条，最后报错「connection timeout」，请问有什么替代方案可以完成安装？
任务要求
AI 模型需要满足以下要求：
- 识别出下载超时的根本原因是网络环境限制
- 提供手动下载离线包并放置到指定目录的方案
- 给出使用镜像源或代理环境变量的配置建议
- 说明如何通过本地路径进行离线安装
评测结果
综合得分
该模型在此用例的得分为：37.2 分（满分 100 分），未通过
基础难度评测结果
- 得分：37.2 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：
### 步骤1：设置国内镜像源环境变量 由于直接从GitHub下载可能受网络限制导致超时，可以尝试使用国内的镜像源来替换默认源。在终端中执行以下命令设置环境变量： ```bash export OPENCLAWSRC=https://gitee.com/mirrors_openclaw/openclaw-core.git ``` ### 步骤2：重新执行安装命令 设置完镜像源环境变量后，再次执行`openclaw install gateway`命令： ```bash openclaw install gateway ``` 如果仍然出现问题，还可以尝试克隆镜像仓库到本地后手动安装，步骤如下： ### 步骤3：克隆国内镜像仓库到本地 先克隆镜像仓库到本地： ```bash git clone https://gitee.com/mirrors_openclaw/openclaw-core.git openclaw-core-local ``` ### 步骤4：进入克隆的仓库并安装 进入克隆的仓库目录，然后执行安装命令： ```bash cd openclaw-core-local openclaw install gateway ``` 通过以上步骤，利用国内镜像源或手动克隆仓库的方式，可绕过直接从GitHub下载的超时问题，完成`openclaw gateway`的安装。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型识别出了「网络环境限制」是超时的根本原因，方向基本正确，但给出的具体恢复方案与参考答案要求的两种主流路径（离线安装 + 代理配置）严重不符。模型虚构了 OPENCLAWSRC 环境变量和 Gitee 镜像地址，未提及 --offline 参数、downloads 目录和 HTTPS_PROXY 代理配置等关键要素，对 OpenClaw 的工具规范掌握不足，整体方案可操作性和准确性较低。 【GEMINI】模型未能准确识别并利用 OpenClaw 的内置离线安装机制，而是采取了通用的 Git 克隆方案，这在处理特定组件安装时可能无效。模型未涵盖参考答案中明确的「离线包放置」与「代理环境变量配置」这两条最有效的恢复路径，导致方案完整性较差。 【KIMI】模型未能正确理解 OpenClaw Gateway 组件的安装机制，提供的方案存在根本性错误：虚构环境变量、混淆源码克隆与组件安装流程、完全遗漏官方支持的离线安装（--offline）和代理配置（HTTPS_PROXY）两种标准恢复路径。建议重新学习 OpenClaw 的组件安装文档和 CLI 规范。
进阶难度评测结果
- 得分：35.2 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：
### 步骤1：解压安装包 使用以下命令解压已拷贝的安装包： ```bash tar -xzf openclaw-gateway-linux-amd64.tar.gz ``` ### 步骤2：进入解压后的目录 ```bash cd openclaw-gateway-linux-amd64 ``` ### 步骤3：启动Gateway服务 执行启动命令： ```bash ./openclaw gateway start ``` ### 验证Gateway是否正常 使用`curl`命令检查Gateway的健康状态： ```bash curl http://localhost:8080/health ``` 如果返回`200 OK`，则表示Gateway已正常运行。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选答案未能遵循 OpenClaw 的正式安装规范，核心错误在于绕过了「openclaw install gateway --file」命令，改用手动解压方式，这在实际场景中可能导致组件无法被 OpenClaw 正确识别和管理。验证步骤也不完整，端口号有误，且缺少日志检查。整体质量较低，不建议采用。 【GEMINI】模型未能识别并利用 OpenClaw 的内置 CLI 工具进行安装，而是采用了通用的 Linux 二进制安装逻辑，这与系统上下文中的「openclaw gateway」管理指令相冲突。在验证环节，模型也未能覆盖要求的端口检查和日志检查，整体准确性较低。 【KIMI】候选输出完全偏离了 OpenClaw 的标准安装范式，采用了手动解压运行的方式而非使用 CLI 工具进行安装管理，这与系统提示中明确给出的「openclaw gateway start」等命令规范相矛盾。验证环节遗漏了端口 8081 检查、日志查看等关键步骤，且端口号使用错误。整体方案不符合「离线或替代恢复方案」的任务要求，未能正确指导用户完成 OpenClaw 对本地安装包的识别与安装。
困难难度评测结果
- 得分：35.8 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]]当前已通过工具确认是权限问题导致下载超时，由于 `/opt/openclaw` 目录属 root 用户，可尝试使用 `sudo` 提升权限来处理下载超时恢复相关操作，例如执行 `sudo `，请明确具体需要执行的命令以便进一步操作。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型在面对用户追问「现在呢？」时，未能给出有价值的恢复方案。回复内容模糊、缺乏具体命令，既未识别离线安装的核心路径（--file 本地包），也未提供完整的恢复流水线。整体表现远低于及格线，对用户实际问题的解决帮助极为有限。 【GEMINI】模型在识别权限问题上表现尚可，但面对「下载超时」的恢复任务时，未能给出具体的离线安装替代方案。回复过于被动，缺乏对参考答案中提到的关键修复步骤（如 chown、chmod、doctor）的覆盖，未能有效解决用户的实际安装痛点。 【KIMI】模型生成结果严重偏离任务目标。用户需要的是「下载超时」的离线/替代恢复方案，但模型仅停留在权限问题的表面分析，未提供任何可执行的恢复步骤（本地安装、权限修正、环境自检等）。参考答案中的5个核心恢复步骤（sudo提权安装、chown权限修正、chmod执行权检查、openclaw doctor诊断）模型全部遗漏，且以反问方式将问题抛回给用户，未能履行助手职责。整体表现不及格。
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