StepFun: Step 3.5 Flash 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：StepFun: Step 3.5 Flash
  • 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：18.0 分（满分 100 分），未通过

基础难度评测结果

  • 得分：18.0 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：

我来帮你了解如何在 OpenClaw 中配置 Discord 斜杠命令。首先让我查看一下当前工作区的结构和相关文档。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出本质上是一个「未完成的回复」——模型只做了一个「ls」工具调用便结束，既没有提供任何关于 Discord 斜杠命令配置的实质内容，也没有呈现完整的问答流程。与参考答案相比，四个核心配置要点（channels 配置块、token/application_id、slash_commands 开关、Discord Developer Portal Intent 设置）均付之阙如。这是一个典型的「截断/不完整输出」问题，几乎没有可评分的有效内容。 【GEMINI】候选模型目前处于任务执行的初始阶段，虽然符合工具调用规范，但完全未触及用户关于「Discord 斜杠命令配置」的具体问题，导致配置准确性得分极低。建议模型在后续步骤中结合项目上下文（如有）或通用配置规范直接给出关键字段说明。 【KIMI】候选输出是一个严重不完整的响应。用户明确询问 Discord 斜杠命令的配置方法，但模型仅给出开场白并调用 ls 工具，未提供任何配置字段、开关说明或权限要求。这相当于完全没有回答问题，属于典型的「工具调用前置」失败案例——在应该直接给出知识性回答的场景中，模型错误地选择了先探索环境而非直接提供配置指导。参考答案明确列出了四项关键配置点，候选输出全部缺失。

进阶难度评测结果

  • 得分：18.2 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：

让我帮你查看一下日志，看看是否有相关信息。 find /var/log -name "*openclaw*" -o -name "*discord*" 2>/dev/null | head -10

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出几乎没有实质内容，仅执行了一条与场景不匹配的 shell 命令就戛然而止，既未完成故障定位，也未给出任何有效的操作建议。与参考答案相比，缺失了所有关键要点（OAuth2 Scope、注册延迟、权限覆盖、正确日志路径），整体质量远低于及格线。 【GEMINI】模型表现不佳。面对用户提出的「配置已改但仍无效」的问题，模型未能提供有效的排查思路，而是陷入了低效的日志搜索。未能参考预设的「参考答案」中关于权限范围、注册延迟和频道覆盖的专业建议，导致排查方向偏离。 【KIMI】候选输出表现极差，完全没有理解 Discord Slash Command 注册问题的本质。用户已经明确说明「配置改成了 true 并补齐了 ID」「日志没有任何报错」，此时问题显然不在 OpenClaw 服务端配置，而在于 Discord 平台的权限注册或缓存机制。候选输出却执行了一个完全无关的 /var/log 日志查找命令，既没有利用项目上下文中建议的「ls logs/」路径，也没有提供任何有价值的故障排查思路。整体而言，该输出未能满足任务要求，无法帮助用户解决 Discord 斜杠命令不显示的问题。

困难难度评测结果

  • 得分：28.2 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：

echo $ENV_TOKEN

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出极为简短，仅发出一条 echo 命令来检查环境变量，距离参考答案所要求的多维度综合排查差距悬殊。在复杂环境适应力方面，虽然方向有一点点对，但方法不够严谨；在综合决策深度方面，几乎没有体现对 OpenClaw 整体架构（渠道、路由、插件）的理解，也未覆盖 Intents、日志、进程状态等关键诊断维度。整体表现远低及格线。 【GEMINI】模型表现不佳。在面对复杂的系统配置排查任务时，模型未能展现出作为 AI 专家应有的多维度分析能力，仅执行了一个简单的工具调用，未能覆盖参考答案中涉及的路由验证、日志分析及 Discord 侧配置检查等关键逻辑，无法有效解决用户提出的 Slash Command 或权限配置问题。 【KIMI】候选输出表现极差，几乎完全偏离了任务要求。用户已经通过 sudo 成功读取了配置，当前核心问题是排查 Discord Bot 接入后的 Slash Command 或权限配置问题。但候选输出：1）重复检查环境变量而未推进诊断；2）完全未处理路由-插件-渠道联动逻辑；3）未检查日志、进程、Discord Intents 等关键诊断点；4）未提出任何修复建议或下一步行动计划。与参考答案相比，缺失了环境变量注入确认、路由验证、插件状态检查、Intents 排查、日志分析等所有核心诊断步骤。

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