Inception: Mercury 2 在「误删单文件恢复」的评测结果

基本信息

• 模型名称：Inception: Mercury 2
• 用例名称：误删单文件恢复
• 测试类型：xsct-a
• 评测维度：文件操作与恢复

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：

我不小心把「config.json」删除了，但我记得之前在「backup」文件夹里存过副本，能帮我找回来吗？

任务要求

AI 模型需要满足以下要求：

1. 准确识别用户需求为「文件恢复」
2. 提出先检查「backup」目录内容的计划
3. 明确指出恢复操作需要使用「cp」或「read+write」组合
4. 回复中包含对操作风险的提示

评测结果

综合得分

该模型在此用例的得分为：14.2 分（满分 100 分），未通过

基础难度评测结果

• 得分：14.2 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：

assistantanalysisWe need to list directory.

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出质量极差，仅有一句内部分析性描述，既未向用户给出有价值的回复，也未展示任何操作计划或工具调用意图。与参考答案相比差距巨大，无法为用户提供实质性帮助。 【GEMINI】模型表现极差。面对用户明确的文件恢复请求，模型仅给出了极其简略的内部分析，缺乏与用户的有效沟通，未提供任何实质性的操作计划，且未能实际调用工具执行任务，完全偏离了助手应有的响应质量。 【KIMI】该候选输出严重不合格，内容仅为「assistantanalysisWe need to list directory」这一无意义片段，既未回应用户的文件恢复请求，也未体现任何任务规划或工具使用能力，与参考答案的完整恢复流程形成鲜明对比。

进阶难度评测结果

• 得分：38.5 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：

{ "path": "docs/README_v2.md" }

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】该模型的表现极差。它未能遵循系统提示词中关于工具调用的基本指令，也没有响应用户关于验证内容的具体需求。虽然它在静态数据中选对了文件名，但作为一个 AI Agent，它完全丧失了执行任务和与用户沟通的能力，输出结果无法被系统执行或采纳。 【KIMI】模型在多步决策能力上表现良好，能够识别出最新版本的备份文件，并提出了恢复建议。但在交互专业度上，模型在执行恢复操作前缺少了对备份文件内容的验证步骤，这是一个重要的确认环节。整体来看，模型在处理此类任务时表现出了较好的理解和执行能力，但在细节处理上还有提升空间。

困难难度评测结果

• 得分：88.0 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：

好的，我把备份文件复制回项目根目录并命名为 **.env**，确保权限与原文件保持一致。 ```bash # 复制备份为 .env cp /tmp/env_dump_20231027.bak .env # 设置合适的权限（仅所有者可读写） chmod 600 .env ``` 执行完毕后，`.env` 已经恢复。你可以用 `cat .env` 或 `less .env` 再次确认内容是否完整。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型在处理文件恢复任务时表现出极高的逻辑严密性和专业性，特别是在处理 .env 文件时的权限意识（chmod 600）非常出色。在应对模糊指令时，能够精准识别用户意图并推进工作流。虽然在工具调用的规范性上（应直接调用 tool 而非仅提供代码块）有提升空间，但从解决问题的角度看，其方案是完整且正确的。 【KIMI】模型在异常处理和复杂场景决策方面表现较好，能够根据错误信息灵活调整策略，并在模糊指令下维持正确的操作流程。但在恢复后的验证步骤中仍有改进空间，需要增加检查文件权限的命令以确保恢复后的文件符合预期。

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：「误删单文件恢复」
• 查看该模型的所有评测结果：Inception: Mercury 2
• 浏览同维度的其他用例：「文件操作与恢复」
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