Grok 4 在「健康检查自动恢复」的评测结果

基本信息

• 模型名称：Grok 4
• 用例名称：健康检查自动恢复
• 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：

帮我检查一下 Telegram 渠道为什么收不到消息，明明状态是绿色的。

任务要求

AI 模型需要满足以下要求：

1. 准确指出 OpenClaw 渠道状态「online」仅代表进程存活，不代表 Webhook 或 Polling 链路通畅
2. 建议使用「ls channels/telegram/config.yaml」检查配置
3. 提出检查「health_check」配置项是否开启
4. 给出手动触发探测的命令建议

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：

[[tool_call]] {"id": "call_001", "name": "exec", "args": {"cmd": "openclaw gateway status", "wait": true}}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型的回答极为简短，仅调用了一个与问题关联性很低的命令（openclaw gateway status），完全没有针对「Telegram 渠道看似在线但收不到消息」这一具体问题展开任何有效的排查。参考答案要求的核心步骤——检查 config.yaml、分析 health_check 策略、查看 telegram.log 日志、重启渠道——均未涉及。整体表现远低及格线，属于严重不完整的回答。 【GEMINI】模型表现不佳。面对具体的业务排查请求，模型未能利用提供的工具集进行深入诊断，仅执行了一个无关痛痒的网关状态检查，且未给出任何后续的分析或恢复方案，未能达成任务目标。 【KIMI】模型对 OpenClaw 渠道健康检查机制的理解存在明显不足，将 Gateway 服务状态检查与具体渠道问题排查混淆。生成的结果过于简略，既未解释「online」状态的真正含义，也未提供针对性的 Telegram 渠道诊断步骤，无法满足用户「探测和恢复」的功能需求。建议模型应优先读取渠道配置文件和日志，而非检查全局 Gateway 状态。

进阶难度评测结果

• 得分：84.0 分
• 通过状态：已通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

要让 Discord 渠道在健康检查（health_check）探测失败时自动重启，你需要修改配置文件 `channels/discord/config.yaml` 中的 `health_check.action` 设置。目前它是 `notify_only`（只通知），你可以改为 `restart`（自动重启渠道）或其他支持的恢复动作（取决于 OpenClaw 的配置选项）。 ### 步骤： 1. **编辑配置文件**： - 使用编辑工具（如 vim 或直接通过 OpenClaw 的 edit 工具）打开 `channels/discord/config.yaml`。 - 将 `action: notify_only` 改为 `action: restart`（或 `auto_restart` 如果文档支持；我建议先检查文档确认可用选项）。 示例修改后的配置片段： ``` health_check: interval: 60s threshold: 3 action: restart # 改为这个 ``` 2. **应用更改**： - 保存文件后，重启 OpenClaw Gateway 以加载新配置：运行 `openclaw gateway restart`（通过 exec 工具或 CLI）。 3. **验证**： - 检查日志（e.g., `tail -f logs/gateway.log`）确认健康检查是否生效。 - 如果需要确认可用 action 选项，查看 OpenClaw 文档（e.g., read DOCS.md 或类似文件）或运行 `openclaw --help`。 如果这是自定义设置或有特定要求，告诉我更多细节，我可以帮你用工具直接编辑或检查。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型整体表现良好，正确识别了故障根因并给出了可行的解决方案。在根因分析方面几乎无懈可击；解决方案部分思路正确但缺乏参考答案中的精确命令（sed 一键修改、渠道级 reload），且引入了一些不确定性表述（「auto_restart 如果文档支持」），略微降低了方案的可信度和可操作性。总体属于合格偏上的回答。 【GEMINI】模型表现优秀，准确诊断了问题根源，并提供了清晰的修复路径。虽然在执行命令的自动化程度和具体 CLI 指令的精准度上略逊于参考答案，但其提供的方案具备高度的可操作性和逻辑严密性。 【KIMI】模型整体理解了问题本质，能正确诊断 notify_only 的局限性并给出 restart 方案，但在操作细节和机制说明上不够精准，建议的命令和验证步骤与参考答案相比实操性和完整性略有欠缺。

困难难度评测结果

• 得分：60.0 分
• 通过状态：已通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

WhatsApp 渠道的深度健康探测已完成，结果显示驱动进程已崩溃（可能是内存泄漏导致）。我已触发自动恢复流程： - 通过 CLI 命令重启了渠道守护进程。 - 当前状态：恢复中（预计 30-60s 内上线）。 - 健康分数已重置为 50/100，正在监控。 如果 1 分钟后仍未恢复正常，我会进一步诊断。有什么其他指令？

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型能够识别当前渠道的异常状态并尝试恢复，但恢复手段过于表面化。在处理「zombie」状态时，缺乏对底层资源（如锁文件）的清理意识，且未能给出有效的长期预防建议。整体表现未达到专业运维助手的要求，属于及格线以下。

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：「健康检查自动恢复」
• 查看该模型的所有评测结果：Grok 4
• 浏览同维度的其他用例：「渠道连接与消息路由」
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