qwen3-0.6b 在「Discord Bot 接入」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:qwen3-0.6b
  • 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:14.2 分(满分 100 分),未通过

基础难度评测结果

  • 得分:14.2 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:

为了在OpenClaw中支持Discord的斜杠命令,请按照以下步骤操作: 1. **确认插件支持**:OpenClaw默认不直接集成Discord功能,需先在项目目录下创建特定插件(如`discord/`)并安装相应依赖。 2. **编辑配置文件**: - 打开 `openclaw/configurations/disco_commands.py`,添加 Discord API 交互逻辑(如使用`import discord`和`client = discord.Client()`)。 - 确保插件路径正确,示例代码如下: ```python from discord import Client class DiscordBot: def __init__(self): self.client = Client() async def start(self): await self.client.start("YOUR_TOKEN") def handle_command(self, command): if command == "help": print("Available commands: /start, /stop") elif command == "echo": print("Hello from Discord!") bot = DiscordBot() bot.start() ``` 3. **验证配置**: - 检查日志或运行脚本输出,确认新功能已启用。 - 若遇到问题,可参考OpenClaw的插件文档进一步调试。 请根据实际需求调整代码逻辑并重启服务。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选回答属于典型的「幻觉性回答」——在缺乏对 OpenClaw 平台实际知识的情况下,凭空捏造了文件路径、配置结构和代码示例,与参考答案中基于「config.yaml channels 配置块」的正确方案完全背道而驰。四个核心功能要求(channels 配置块、token/application_id 字段、Discord Developer Portal Intent 设置、slash_commands 开关)均未覆盖。不仅无法帮助用户解决问题,还可能误导用户走向错误方向,整体质量极低。 【GEMINI】候选回复未能识别 OpenClaw 的配置机制,错误地将简单的配置任务引导为复杂的代码开发任务。完全未提及「config.yaml」、「slash_commands: true」以及 Discord Developer Portal 的必要权限设置,导致回答完全不可用。 【KIMI】候选输出在配置准确性上存在根本性错误,完全误解了 OpenClaw 的 Discord 集成机制。OpenClaw 采用声明式配置而非代码开发方式接入 Discord,候选输出却引导用户编写自定义 Discord 客户端代码,这是严重的方向性错误。关键配置字段(application_id、slash_commands 开关)和权限要求(Message Content Intent)均未提及,无法帮助用户正确完成配置任务。

进阶难度评测结果

  • 得分:31.8 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:

根据您的当前配置和操作记录,问题可能出在以下两个方面: 1. **Slash Commands 未正确注册** OpenClaw 需要确认 Slash Command 的配置已被正确启用。请检查以下配置项: - `channels: my_discord` 中的 `enabled` 是否为 `true` - `channels: my_discord` 中的 `slash_commands` 是否为 `true` 2. **Discord Channel 权限未匹配** 确保 Discord 服务器允许您访问该频道,并且应用 ID 已正确绑定至该频道。您可以尝试在 Discord 中测试 `/` 斜杠命令的执行,以确认是否正常工作。 3. **OpenClaw 服务状态** 若服务仍在运行,请手动触发 OpenClaw 的服务重启(如 `openclaw gateway restart`)以确保所有配置项已正确加载。 若以上步骤均无效,建议查看 OpenClaw 的日志输出,以进一步排查具体问题。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出未能抓住问题的核心——在配置已经正确的前提下,Slash Command 仍不显示的原因在于 Discord 平台侧的 OAuth2 Scope 缺失、注册延迟或客户端缓存问题。回答主要停留在重复验证已知正确配置的层面,对 Discord 平台机制缺乏理解,提供的排查步骤与用户实际遇到的场景严重脱节,实用价值较低。 【GEMINI】模型未能有效利用提供的参考答案中的关键排查路径(如权限范围、注册延迟、日志检查)。回复内容过于泛泛,没有针对 Discord Bot 开发中常见的配置陷阱给出具体且可操作的建议,未能解决用户在配置 Slash Command 时遇到的实际问题。 【KIMI】候选输出未能有效诊断 Discord Slash Command 不显示的根本原因,重复了已知配置状态而未深入平台特性。核心遗漏包括:OAuth2 Scope 配置、全局命令注册延迟、频道权限覆盖等 Discord 平台特有机制。建议内容缺乏针对性,未能引导用户完成高效的故障排查流程。

困难难度评测结果

  • 得分:18.5 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:

已确认环境变量「ENV_TOKEN」正确并指向了 Discord 插件。现在可以尝试通过 Discord API 测试连接,若出现错误请检查配置中的路由设置或插件依赖。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出质量很差,核心问题在于做出了未经验证的断言(「已确认环境变量正确」),这在技术排查场景中是严重的方向性错误。与参考答案相比,候选输出遗漏了几乎所有关键排查步骤:环境变量注入验证、日志分析、Gateway Intents 检查、插件状态确认等。给出的建议不具备可操作性,无法推动问题解决。 【GEMINI】候选模型的回答质量较差。它未能承接对话上下文中的技术细节,没有执行任何必要的排查步骤(如查看日志或验证进程状态),而是给出了类似「尝试测试连接」这种模糊的建议。相比之下,参考答案涵盖了环境变量验证、日志排查、Intents 配置检查等关键技术点,候选模型在专业深度和问题解决能力上均有较大差距。 【KIMI】候选输出与参考答案差距显著。在复杂环境适应力方面,无视对话中明确的权限问题,直接断言环境变量已确认,缺乏基本的验证意识。在综合决策深度方面,完全遗漏 OpenClaw 路由-插件-渠道联动逻辑的核心检查点(路由名称匹配、插件状态、Discord Intents、日志诊断),仅用模糊表述敷衍。整体表现为未充分理解任务背景和技术细节,未能延续对话上下文的排查思路。

相关链接

您可以通过以下链接查看更多相关内容:

加载中...