doubao-seed-2-0-pro 在「误删单文件恢复」的评测结果

基本信息

• 模型名称：doubao-seed-2-0-pro
• 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：75.5 分（满分 100 分），已通过

基础难度评测结果

• 得分：75.5 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：

[{"name":"ls","parameters":{"path":"backup"}}]

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型的响应非常简短，仅执行了「ls backup」这一个工具调用，正确地迈出了「先检查」的第一步，工具使用准确。但整体回复缺乏对用户的说明、操作计划的阐述、风险提示以及后续恢复步骤的规划，与参考答案相比显得过于简略。对于一个文件恢复场景，用户期望得到更完整的操作说明和反馈，而非仅一个静默的工具调用。 【GEMINI】模型在技术执行层面表现合格，能够准确调用工具定位文件，但作为个人助手，在交互体验和任务规划上严重缺失。模型未按照提示词要求向用户说明恢复步骤，也未提供任何风险提示或操作确认，导致用户无法感知任务进度，整体表现不及格。 【KIMI】模型在核心功能上表现正确——准确识别文件恢复需求并执行了「先检查」步骤，工具调用规范。但回复过于极简，缺乏计划说明、风险提示和后续步骤预告，用户体验和透明度不足。相比参考答案的完整沟通策略，模型更像是在「执行」而非「协助」，建议增强对多步骤任务的主动说明能力。

进阶难度评测结果

• 得分：42.8 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：

[{"name":"read","parameters":{"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：

【CLAUDE】模型在当前对话节点选择了正确的工具（read），但完全缺乏文字说明和后续步骤的规划。根据系统提示「Default: do not narrate routine, low-risk tool calls」，省略旁白有一定合理性，但在用户明确要求「确认内容」并隐含后续恢复操作的场景下，至少应简要说明操作意图和后续计划。整体表现偏弱，仅完成了多步流程中的第一步，且缺乏必要的交互沟通。 【GEMINI】模型未能理解任务的完整性，仅执行了第一步读取操作便停止，且在交互上过于机械，未能按照系统提示词的要求进行必要的叙述。整体表现未达到及格水平，建议增强对复杂任务的规划能力及交互反馈的专业性。 【KIMI】模型在多文件备份场景下正确筛选了最新版本并执行了内容验证，但流程不完整，缺少实际的恢复操作和恢复后验证。交互方式过于直接，以纯工具调用回应，缺乏专家助理应有的操作说明和确认环节，专业度不足。

困难难度评测结果

• 得分：52.5 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：

[{"name":"exec","parameters":{"command":"cat /tmp/env_dump_20231027.bak"}}]

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型在前期上下文中展示了一定的异常处理意识（权限失败后切换路径），但在用户发出「现在呢？」这一简短后续提示时，仅停留在读取备份文件内容这一步，未能完成将内容写回 `.env`、验证文件是否恢复成功的完整闭环。参考答案明确定义了三步恢复流程，而模型仅执行了第一步即停止。整体任务完成度较低，关键恢复操作缺失，不建议在生产环境中依赖此类输出。 【GEMINI】模型在初期定位阶段表现出色，能够根据错误反馈灵活调整策略。但在面对用户「现在呢？」的催促时，模型仅执行了读取操作，未能主动完成后续的恢复写入与验证步骤，导致任务未能闭环，表现出一定的被动性。 【KIMI】模型生成结果严重不完整，仅完成了「定位备份文件」和「读取内容」两个环节，缺失核心的「写入恢复」和「验证确认」步骤。尽管预设上下文已提供清晰的线索路径，但模型未能将线索转化为完整的恢复操作流，表现出任务执行的中途断裂。建议在短提示场景下强化模型的任务闭环意识，确保关键步骤不遗漏。

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：doubao-seed-2-0-pro
• 浏览同维度的其他用例：「文件操作与恢复」
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