MiniMax-M2.5 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:MiniMax-M2.5
- 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:
- 明确指出需要在「channels」配置块下添加「discord」类型
- 列出必要的「token」和「application_id」字段
- 提到必须在 Discord Developer Portal 开启「Message Content Intent」
- 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:11.75 分(满分 100 分),未通过
基础难度评测结果
- 得分:11.75 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:
用户想知道如何配置 OpenClaw 以支持 Discord 的斜杠命令(slash commands)。 让我先检查一下项目上下文,看看是否有相关的文档或配置文件可以帮助回答这个问题。 [TOOL_CALL] {tool => "ls", args => { --path "." }} [/TOOL_CALL]
AI 评审点评
以下是 AI 评审对该模型输出的点评:
【CLAUDE】候选输出仅停留在「调用 ls 工具」这一准备阶段,未能向用户提供任何关于 Discord 斜杠命令配置的实质内容。与参考答案相比,缺少全部关键信息:channels 配置块、discord 类型、token/application_id 字段、slash_commands 开关以及 Discord Developer Portal 权限设置。该回复对用户毫无帮助,整体质量极低。 【GEMINI】模型在接收到用户请求后,采取了正确的初步行动(查看文件列表),但作为评测对象,其当前输出并未包含任何针对问题的解答,导致在配置准确性维度上得分极低。建议模型在后续步骤中结合项目上下文,直接给出具体的配置指导。 【KIMI】该候选输出完全未能回答用户关于 Discord 斜杠命令配置的问题。输出仅包含一个未完成的工具调用(ls),没有提供任何配置指导、字段说明或操作步骤。与参考答案相比,缺失了所有关键配置信息(config.yaml 结构、channels 配置、token/application_id、slash_commands 开关、Discord Developer Portal 权限设置等)。这是一个失败的回复,未能满足用户的基本信息需求。
进阶难度评测结果
- 得分:10.5 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:
用户说已经改成了 true 并补齐了 application_id,重启后还是不行,日志里没有报错。让我先看一下当前的配置文件确认修改是否生效,然后再看看有什么可能的原因。 让我先确认一下当前配置文件的实际内容。
AI 评审点评
以下是 AI 评审对该模型输出的点评:
【CLAUDE】候选输出是一个极度不完整的回复,仅包含一句准备查看配置文件的说明,没有任何实质性内容。在用户已经明确说明配置已修正、重启后仍无效的情况下,模型应当直接给出深层原因分析(如 OAuth2 Scope、注册延迟、权限覆盖等),而非重新从读取配置文件开始。整体表现严重不及格,几乎没有完成任务要求。 【GEMINI】模型表现不佳。在面对用户明确反馈「配置已修改且无报错」的情况下,模型未能利用已有的工具(如「ls logs/」)或专业知识(Discord Slash Command 注册机制)进行故障排查,而是陷入了重复确认配置的低效循环中,未能体现出作为 AI 助手的专业诊断能力。 【KIMI】候选输出严重偏离了任务要求。用户明确说明配置已修改正确且重启后仍无效,这是一个典型的 Discord 平台级问题(OAuth Scope、命令注册延迟、权限覆盖),而非配置语法问题。候选输出却将注意力放在重复查看配置文件上,完全没有理解 Discord Slash Command 的注册机制,也没有提供任何平台相关的排查建议。与参考答案相比,候选输出在故障定位和操作建议两个维度均表现极差,无法帮助用户解决实际问题。
困难难度评测结果
- 得分:25.0 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:
The user is asking "现在呢?" which means "Now what?" or "What about now?" - they seem to be asking me to continue or check something. Given the context: 1. We have a config.yaml that uses "ENV_TOKEN" as the Discord bot token 2. The user previously said "Discord Bot 接入" (Discord Bot access/integration) I should check if the ENV_TOKEN is set in the environment, and also check the Discord plugin status. Let me do that now. 我正在检查环境变量和 Discord 插件状态。
AI 评审点评
以下是 AI 评审对该模型输出的点评:
【CLAUDE】候选输出几乎是一个空回复,仅用一句话声称「正在检查」,但没有任何实际工具调用、命令执行或分析内容。与参考答案相比,缺少对环境变量注入问题、路由名称匹配、插件状态、Discord Intents 以及日志排查等所有关键要素的覆盖。这是一个严重不及格的输出,未能完成任何实质性的排查工作。 【GEMINI】模型表现不佳。在对话中,模型仅给出了空洞的承诺,没有执行任何工具调用或提供具体的排查建议。面对复杂的系统配置问题,模型未能展现出对 OpenClaw 架构的理解,也未给出任何可操作的下一步指令,导致排查工作停滞。 【KIMI】候选输出严重不合格。用户明确追问「现在呢?」要求继续排查,但模型仅输出了一句无实质内容的叙述性回复,完全没有执行任何实际的检查动作或提出具体的诊断步骤。与参考答案相比,候选输出在环境适应(权限处理、环境变量验证、进程检查)和决策深度(路由-插件-渠道联动分析、Intents 检查、日志定位)两个维度均存在根本性缺失,未能满足「继续修复」的任务要求。
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