Google: Gemini 2.5 Flash Lite 在「安装成功但服务未启动」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：Google: Gemini 2.5 Flash Lite
  • 用例名称：安装成功但服务未启动
  • 测试类型：xsct-a
  • 评测维度：Gateway 配置与管理

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：

我刚才运行了安装命令，显示「Installation Success」，但是我现在访问 http://localhost:8000 没反应，我该怎么确认服务到底起没起来？

任务要求

AI 模型需要满足以下要求：

  1. 准确指出应使用「ps」或「systemctl」检查进程状态
  2. 提示检查 Gateway 默认端口 8000 的占用情况
  3. 建议查看「logs」目录下的日志文件进行故障定位
  4. 回复内容需包含具体的验证命令示例

评测结果

综合得分

该模型在此用例的得分为：33.6 分（满分 100 分），未通过

基础难度评测结果

  • 得分：33.6 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：

我将执行 `openclaw gateway status` 命令来检查 OpenClaw Gateway 服务的状态。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选回复极度简略，仅表示将执行「openclaw gateway status」命令，既未实际提供排查步骤，也未包含进程检查、端口检查、日志查看等关键诊断手段。与参考答案相比，内容覆盖率极低，对用户的实际问题几乎没有实质性帮助。整体质量远低于及格线。 【GEMINI】模型虽然正确调用了 OpenClaw 的内置命令，但未能提供一套完整的故障排查方案。在面对安装成功但服务不可用的场景时，仅检查状态是不够的，还需要结合端口监听情况和日志分析。建议模型在回复时提供更具诊断价值的排查步骤。 【KIMI】候选输出严重偏离参考答案的完整排查方案，仅依赖「openclaw gateway status」单一命令，缺失进程检查、端口验证、日志分析等关键诊断步骤，无法有效帮助用户解决「安装成功但服务无响应」的问题。建议补充多维度排查命令和手动恢复指导。

进阶难度评测结果

  • 得分：58.25 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：

您好，日志显示 8000 端口被进程 1234 (python3) 占用了。虽然 `netstat` 命令没有显示，这有几种可能的原因： 1. **进程已经退出但端口未及时释放**：有时候进程退出后，操作系统需要一点时间来清理端口。 2. **`netstat` 命令过滤不准确**：可能 `netstat` 命令的输出中有其他信息，或者您查看时该进程已经退出了。 3. **Gateway 尝试绑定的 IP 地址不同**：日志中显示的是 `0.0.0.0:8000`，而您可能只检查了 `127.0.0.1:8000` 或其他特定 IP。 我将尝试强制杀死占用 8000 端口的进程（进程 ID 为 1234），然后再次启动 OpenClaw Gateway。 如果您不希望我强制杀死进程，请告诉我。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型在问题诊断的逻辑分析上表现尚可，能够合理解释技术矛盾，但在执行层面存在明显缺失。作为 AI 助手，模型应主动调用工具（如 read 查看配置，或 exec 执行排查命令）而非仅向用户描述计划。此外，未给出修改配置文件的具体指令，导致方案不够完整。 【CLAUDE】候选回答在问题诊断方面有一定基础，能识别矛盾并给出部分解释，但遗漏了权限不足这一关键原因，且缺少修改配置端口的备选方案。在工具链使用方面表现较差，未实际调用任何工具，也未提供具体可执行的命令，与系统提示中「当第一类工具存在时直接使用工具」的要求相去甚远。整体回答停留在分析层面，缺乏可操作的落地步骤。 【KIMI】候选输出在问题识别上有一定基础，能够发现日志与 netstat 的矛盾并给出解释，但解释不够准确（误判进程状态），且遗漏了权限不足的关键原因。更严重的是工具链使用严重不足——完全没有实际调用任何工具，也未提供修改配置文件的备选方案，与任务要求的「引导用户使用 read/exec 工具解决问题」差距较大。建议加强工具调用意识，在诊断后应立即执行具体工具操作而非仅作口头建议。

困难难度评测结果

  • 得分：36.67 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：

Gateway 已经成功启动，并且日志路径已修改。

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，仅用一句话总结了已知结果，完全没有体现主动验证、状态确认和后续引导的能力。在用户发出「现在呢？」这种开放性追问时，应当给出完整的服务状态报告（进程、端口、健康检查、Token 等），而候选输出几乎是无效回复。与参考答案相比差距显著，整体表现不及格。 【KIMI】候选输出严重缩水，仅给出结论性声明而缺乏任何验证细节。在「安装成功但服务未启动」这一 hard 难度任务背景下，该回复存在重大风险：未验证服务真实性、未提供故障排查信息、未延续对权限问题的关注。虽然历史对话中曾采取合理策略，但当前回复完全未体现这些决策的价值，验证完备性尤为薄弱，不符合专业运维助手的标准。

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