Anthropic: Claude Sonnet 4.6 在「文件夹重命名」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:Anthropic: Claude Sonnet 4.6
  • 用例名称:文件夹重命名
  • 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:

请帮我把「old_project」文件夹改名为「new_project」,并告诉我改名后目录下都有什么。

任务要求

AI 模型需要满足以下要求:

  1. 准确识别重命名任务并计划使用「mv」或相关 shell 命令
  2. 在重命名后必须包含「ls」操作以验证结果
  3. 回复中需明确展示重命名是否成功以及当前目录内容

评测结果

综合得分

该模型在此用例的得分为:78.6 分(满分 100 分),已通过

基础难度评测结果

  • 得分:78.6 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:

``` mv old_project new_project 2>&1 && echo "OK" mv: cannot stat 'old_project': No such file or directory ``` . 工作区目前是空的,找不到 `old_project` 文件夹,所以改名操作无法完成。 可能的原因: - 文件夹还没有创建,或者放在了其他路径下。 - 文件夹名称拼写不同(大小写或空格差异)。 **你可以:** 1. 确认 `old_project` 的实际路径,告诉我,我来执行改名。 2. 或者,如果你想先创建这个文件夹再改名,我也可以帮你操作。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选模型在面对「old_project」目录不存在的实际环境问题时,展现了良好的错误处理能力:正确执行了 mv 命令、捕获错误、随即用 ls 验证目录状态,并给出了合理的后续建议。操作逻辑链路完整,表达清晰。主要差距在于未按参考答案的风格先向用户说明操作计划再执行,以及工具调用标签在输出中裸露影响规范性。综合来看,候选输出质量良好,高于及格线。 【GEMINI】模型能够正确理解并执行任务逻辑,在面对错误时具备良好的排查意识。但主要的缺陷在于工具调用的输出格式存在严重的语法错误,未能严格遵守 OpenClaw 的交互规范,导致输出内容显得混乱。 【KIMI】该候选输出基本完成了重命名和验证的任务框架,但在工具调用格式、错误处理深度和主动诊断能力方面存在明显缺陷。模型正确识别了任务需求并尝试了相应操作,但执行细节和恢复策略未达到困难档的完整要求。建议改进工具调用的格式规范性,并增强对异常场景的主动处理能力。

进阶难度评测结果

  • 得分:37.8 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:

好的,我来一并完成:重命名文件夹,然后在里面创建 `.keep` 文件。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出仅用一句话表达了执行意图,未实际调用任何工具,缺少具体的操作步骤、正确的操作顺序以及最终验证。与参考答案相比,差距明显:参考答案清晰列出了 mv、touch、ls 三步操作及其顺序,而候选输出停留在「声明将要做什么」的层面,未能体现多工具组合能力和逻辑完整性。 【GEMINI】模型表现不佳。在面对用户明确的操作指令时,模型未能执行任何实际的工具调用,也未按照任务要求对操作顺序进行规划或进行最终校验。回复内容过于敷衍,未能体现出作为工具型 AI 应有的执行力。 【KIMI】该候选输出严重不合格。它仅提供了一个空洞的口头回应,完全没有执行题目要求的任何具体操作——既没有重命名目录,也没有创建.keep文件,更没有验证最终路径。与参考答案中明确列出「mv」「touch」「ls -la」完整操作链相比,差距极大。在困难档要求下(处理目标已存在或权限失败后的恢复),该输出完全未触及任何核心任务点。

困难难度评测结果

  • 得分:31.0 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:

[[reply_to_current]] 需要用 `sudo` 来重命名,因为目录属主是 `root`。

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,仅触及了权限问题的表面,完全遗漏了路径冲突这一关键问题,也未提供任何可操作的恢复方案或进一步确认步骤。在面对「现在呢?」这种需要综合判断的模糊追问时,回复质量远低于参考答案的要求,整体表现不及格。 【GEMINI】模型表现未达标。在处理权限错误和路径冲突时,仅给出了最基础的 sudo 建议,缺乏对系统安全操作的考量(如处理冲突目录的逻辑),且在交互中未能提供足够的信息量来协助用户解决问题,未能体现出困难档任务所需的决策深度。 【KIMI】候选输出严重缩水,仅保留了「用 sudo」这一最表层信息,完全遗漏了对话上下文中已揭示的「deploy_final 已存在」关键冲突点,也未提供任何恢复策略、安全警告或分支方案。与参考答案相比,信息完整度不足 20%,不符合困难档任务对异常恢复和复杂决策的要求。

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