StepFun: Step 3.5 Flash 在「群组中仅 @ 触发」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：群组中仅 @ 触发
- 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：
请告诉我如何在 OpenClaw 的配置文件中设置 Telegram 渠道，使得它在群组里只有被「@」时才回复？
任务要求
AI 模型需要满足以下要求：
- 准确指出需要修改的配置文件路径或配置项名称
- 说明「at_only」或类似的布尔开关逻辑
- 解释该配置对群组消息过滤的作用机制
评测结果
综合得分
该模型在此用例的得分为：28.5 分（满分 100 分），未通过
基础难度评测结果
- 得分：28.5 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：
我来帮您查找 OpenClaw 中 Telegram 渠道的配置方法，特别是关于群组中@才回复的设置。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】该回答是一个不完整的代理（Agent）中间步骤。模型没有直接回答用户的技术咨询，而是尝试通过调用工具来搜索信息。由于评测标准要求准确指出配置项名称并解释逻辑，而模型在输出中完全没有包含这些核心事实（如 at_only 逻辑），因此无法满足功能要求，得分较低。 【KIMI】整体而言，回答没有准确指出配置文件和配置项，也没有解释群组触发逻辑和配置的作用机制，因此只能给出及格分数。建议更加详细地说明配置文件和配置项，并解释群组触发逻辑和配置的作用机制。
进阶难度评测结果
- 得分：41.0 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：
明白了。让我检查主配置和代码逻辑，看看是否有其他设置覆盖了渠道级别的 `at_only`。 config/config.yaml
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出整体表现较弱。虽然表达了检查配置的意图并发起了一个工具调用，但输出实际上是不完整的——它停在了工具调用阶段，没有提供任何实质性的故障分析或调试建议。与参考答案相比，候选答案缺少对 Discord Intent 权限、插件覆盖逻辑、配置重载等关键排查点的分析，对用户问题的解答价值极为有限。整体呈现为「开始但未完成」的状态，未能有效解决用户的实际需求。 【GEMINI】模型未能充分利用上下文信息进行逻辑推导，仅停留在最基础的配置文件读取层面。对于用户提出的「at_only」失效问题，模型未给出针对 Discord 平台的特定调试建议（如检查 Intent 权限或插件覆盖逻辑），导致排查深度严重不足，未能有效解决用户的问题。 【KIMI】候选输出严重偏离任务核心要求。用户明确反馈「at_only: true」已设置但无效，需要的是 Discord 平台特定的故障排查（Intent 权限、插件覆盖、配置重载），而非简单地再读一个配置文件。输出既未分析 Discord 特有机制，也未提供有效的验证和调试手段，工具使用也缺乏针对性，整体表现不及格。
困难难度评测结果
- 得分：47.5 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：
让我检查一下项目的服务状态和配置，确保修改生效。 ls -la
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】模型的表现非常平庸且缺乏逻辑。在完成关键配置修改后，面对用户确认状态的请求，它给出了一个完全无关的目录列表命令，既没有验证配置内容的正确性，也没有提供任何全栈层面的验证链路（如日志监控或平台侧配置检查）。相比参考答案提供的完整验证步骤，候选输出完全没有体现出对 OpenClaw 与 Slack 交互机制的理解。 【KIMI】Assistant 在处理权限问题和理解配置与事件机制的关联方面表现良好，但在最终验证步骤中提供的命令与任务要求不完全匹配，显示了一定的决策偏差。整体而言，Assistant 能够较好地理解和执行任务，但在精确性和相关性方面还有提升空间。
相关链接
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