doubao-seed-1-8 在「Discord Bot 接入」的评测结果

基本信息

• 模型名称：doubao-seed-1-8
• 用例名称：Discord Bot 接入
• 测试类型：xsct-a
• 评测维度：渠道连接与消息路由

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：

我想让 OpenClaw 支持 Discord 的斜杠命令，应该怎么配置？

任务要求

AI 模型需要满足以下要求：

1. 明确指出需要在「channels」配置块下添加「discord」类型
2. 列出必要的「token」和「application_id」字段
3. 提到必须在 Discord Developer Portal 开启「Message Content Intent」
4. 说明「slash_commands: true」开关的作用

评测结果

综合得分

该模型在此用例的得分为：17.5 分（满分 100 分），未通过

基础难度评测结果

• 得分：17.5 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：

我将帮你配置 OpenClaw 以支持 Discord 斜杠命令。首先让我查看项目结构，了解相关配置文件和插件： ```bash ls -la ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型生成结果严重不足，仅输出了一个探索性的 shell 命令「ls -la」，完全没有回答用户关于如何配置 Discord 斜杠命令的问题。参考答案要求的四个核心要点（channels 配置、token/application_id 字段、Intent 权限、slash_commands 开关）均未涉及。这表明模型可能陷入了「先调查再回答」的工具调用模式，但未能在此基础上给出实质性答案，导致用户得不到任何有用的配置指导。 【GEMINI】模型在处理该任务时表现不佳。面对用户明确的配置咨询，模型未能直接提供参考答案中涵盖的关键配置项（如「slash_commands: true」或 Discord Developer Portal 的权限设置），而是选择了机械地执行「ls -la」。作为专家助手，模型应优先根据已知知识提供配置方案，并在必要时才通过工具验证，而不是直接跳过回答过程。 【KIMI】该生成结果严重不合格。模型未能理解用户的直接询问意图，没有提供任何关于 Discord 斜杠命令配置的实质性内容，仅执行了一个无关紧要的目录查看命令后就停止了输出。这是一个典型的「启动工具但忘记完成回答」的失败案例，在配置准确性和专业表达两个维度均远低于及格线。

进阶难度评测结果

• 得分：31.5 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：

我先查看你当前的完整配置，确认「application_id」是否正确配置： ```bash read config.yaml ``` 同时，我需要检查 OpenClaw 的运行日志，看看命令注册过程是否有隐藏的问题： ```bash exec openclaw logs --tail 50 ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型生成结果质量极差，完全未能理解用户问题的核心。用户已明确表示配置已修正但问题依然存在，且日志无报错，这是一个典型的Discord平台侧问题（OAuth2权限范围、注册延迟、客户端缓存等），但模型仍然停留在「读配置、看日志」的初级排查阶段，没有任何针对Discord平台特性的分析和建议，与参考答案差距极大，未能为用户提供实质性帮助。 【GEMINI】模型在处理该问题时表现较为机械，仅依赖于基础的日志查看和配置读取，未能结合 Discord 开发的实际场景（如权限范围、缓存延迟、权限覆盖等）提供专业的故障排查路径。建议模型在后续回答中，应优先考虑平台特有的配置要求和常见延迟现象，而非仅关注本地日志。 【KIMI】模型回答未能抓住 Discord Slash Command 问题的核心原因（OAuth2 Scope 和注册延迟），操作步骤也存在 CLI 命令错误和效率问题。与参考答案相比，缺少平台特性的关键知识，排查思路过于依赖日志而忽视了 Discord 端的配置检查，整体表现低于及格水平。

困难难度评测结果

• 得分：41.5 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：

我来检查 Discord Bot 的运行状态和环境变量配置： 1. **检查环境变量是否存在** ```bash echo $ENV_TOKEN ``` 2. **查看 Gateway 服务状态** ```bash openclaw gateway status ``` 3. **检查 Discord 插件日志** ```bash openclaw gateway logs --plugin discord ``` 如果环境变量未设置，我会帮你注入 Discord Bot Token 并重启服务。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型的回复方向基本正确（检查环境变量、服务状态），但整体深度严重不足。主要问题有三：一是使用了系统提示中未定义的openclaw子命令（logs --plugin），违反了平台规范；二是对Discord Bot接入问题的排查维度过于单一，遗漏了日志分析、Intents检查、debug_plugin行为分析等关键环节；三是未能将「ENV_TOKEN」、「routes」、「channels」三者的联动关系纳入分析框架。与参考答案相比，模型的回复更像是一个初级排查清单，而非具备系统性思维的专业诊断。 【GEMINI】模型表现一般，未能充分利用提供的项目上下文进行深度排查。在处理权限受限和环境变量检查时，采取了较为基础的方案，缺乏对 OpenClaw 路由逻辑和 Discord Bot 常见故障点（如 Intents）的专业洞察。建议在后续回复中加强对日志分析和系统配置关联性的逻辑推演。 【KIMI】该生成结果未能有效承接预设上下文中的关键信息（权限问题、环境变量注入方式、debug_plugin 路由），排查建议存在多处技术错误（虚构 CLI 命令、错误的环境变量检查方式），且遗漏了参考答案中强调的核心检查点（Intents、路由匹配、插件状态）。整体表现低于及格水平。

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：「Discord Bot 接入」
• 查看该模型的所有评测结果：doubao-seed-1-8
• 浏览同维度的其他用例：「渠道连接与消息路由」
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