OpenAI: gpt-oss-120b 在「文件夹重命名」的评测结果

基本信息

• 模型名称：OpenAI: gpt-oss-120b
• 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：— 分（满分 100 分），未通过

基础难度评测结果

• 得分：— 分
• 通过状态：未通过

AI 评审点评

以下是 AI 评审对该模型输出的点评：

模型返回空输出，已跳过 AI 评分（finish_reason=stop）

进阶难度评测结果

• 得分：23.2 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：

[[reply_to_current]]正在将「temp_data」重命名为「archive_empty」并在其中创建「.keep」文件。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型生成结果仅有一句简短的叙述，说明它理解了任务意图，但完全没有付诸实际行动。既未调用mv重命名目录，也未创建.keep文件，也未验证结果。这是一个典型的「只说不做」问题，与参考答案的操作流程相差甚远，几乎不满足任何功能要求。 【GEMINI】模型在本次任务中表现不佳。虽然能够理解用户的指令意图，但未能将意图转化为实际的工具调用。在困难档任务中，模型不仅需要规划操作顺序，还必须通过实际执行工具来完成重命名、创建文件及最终校验，模型仅回复了文字而未执行任何操作，导致任务未完成。 【KIMI】模型生成结果严重不合格。面对明确的多步骤任务（重命名空目录→创建文件→验证），模型仅输出了叙述性文字而未执行任何工具调用，完全违背了「Default: do not narrate routine, low-risk tool calls (just call the tool)」的系统提示要求。任务零进展，所有功能要求均未满足。

困难难度评测结果

• 得分：22.8 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：

{"cmd":["bash","-lc","sudo mv deploy_v1 deploy_final"], "timeout": 100000}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】模型的输出质量极差，仅生成了一个裸命令调用 JSON，既未回应用户的追问语境，也未体现任何异常分析、路径冲突处理或安全操作意识。与参考答案要求的「清晰状态评估 + 多方案决策 + 用户确认」相差甚远，几乎不具备实用价值。 【GEMINI】模型表现不佳。在面对权限错误和路径冲突的困难场景时，模型未能遵循安全操作原则，直接执行了可能导致数据丢失的「sudo mv」命令，且完全忽略了与用户的沟通需求。模型未能识别出任务的复杂性，缺乏必要的校验步骤，未达到困难档任务的要求。 【KIMI】模型表现严重不合格。在困难档测试中，模型未能处理目标已存在和权限失败后的恢复要求，直接执行可能覆盖数据的危险操作，且完全忽视了用户追问需要信息反馈的沟通需求。生成结果仅为一个裸命令，没有任何解释、检查或安全保护措施，与参考答案的信息量和决策质量差距显著。

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：「文件夹重命名」
• 查看该模型的所有评测结果：OpenAI: gpt-oss-120b
• 浏览同维度的其他用例：「文件操作与恢复」
• 返回排行榜首页