qwen3-coder-next 在「批量重命名文件」的评测结果

基本信息

• 模型名称：qwen3-coder-next
• 用例名称：批量重命名文件
• 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：

请将「/workspace/docs」目录下所有以「temp_」开头的 .txt 文件重命名，去掉「temp_」前缀，并保持后缀不变。操作前请先列出文件确认。

任务要求

AI 模型需要满足以下要求：

1. 准确识别需要重命名的文件范围（temp_*.txt）
2. 提出先使用「ls」或「find」进行检查的计划
3. 给出正确的重命名逻辑（如使用 mv 或 rename 命令）
4. 强调操作的原子性或确认步骤以防误改

评测结果

综合得分

该模型在此用例的得分为：83.8 分（满分 100 分），已通过

基础难度评测结果

• 得分：83.8 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：

我来帮你完成这个任务。首先让我列出 `/workspace/docs` 目录下所有以 `temp_` 开头的 `.txt` 文件。 /dev/null || echo "No files found"

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出整体质量良好，遵循了「先列出文件确认」的安全操作原则，工具选择正确，命令语法合理且包含错误处理。与参考答案相比，缺少对后续重命名步骤的预告性说明，但就当前回答内容而言，逻辑清晰，工具调用准确，达到了任务的基本要求。 【GEMINI】模型表现良好，能够准确理解用户意图并执行预检查步骤。在工具调用格式上，虽然使用了正确的 shell 命令，但若能更严格地遵循 OpenClaw 的工具调用规范（如直接调用 exec 工具而非自定义 XML 标签），表现会更完美。 【KIMI】候选输出基本完成了任务，遵循了先检查后操作的原则，但在计划完整性和工具调用规范性上存在不足。缺少对重命名逻辑的具体说明和原子性考虑，工具调用格式也非标准 JSON 格式，建议参考标准格式进行优化。

进阶难度评测结果

• 得分：26.5 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：

好的，我先检查一下 images 目录中是否已存在 `photo_*.jpg` 的文件，以避免覆盖。 [[reply_to_current]] ```bash ls /workspace/images/photo_*.jpg 2>/dev/null || echo "No conflict files found" ```

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出没有实现任何计数器自增逻辑，也没有对文件进行遍历重命名的循环结构，整个任务完全未闭环。仅提出了一个辅助性的检查命令，整体上只是「准备开始」的状态，而非完成任务。对比参考答案中完整的 for 循环 + 计数器 + mv 命令，候选输出几乎是空白的。 【GEMINI】模型在面对复杂任务时表现出明显的拖延倾向，仅执行了探测性命令，未能根据用户要求提供完整的解决方案（如循环遍历、条件判断及重命名逻辑）。相比参考答案，该回答缺乏实质性的执行步骤，未满足困难档任务对逻辑严密性和任务闭环的要求。 【KIMI】候选输出展现了良好的安全意识，主动响应了用户追加的冲突检查要求，但仅停留在方案确认阶段，未提供完整的可执行脚本。相比参考答案中直接给出的完整 bash 循环脚本（包含遍历、计数器、条件判断、日志输出），当前输出在任务完整性和可直接执行性上有明显差距，需要用户进一步确认后才能继续，闭环度不足。

困难难度评测结果

• 得分：33.5 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：

[[reply_to_current]] 我来检查当前权限并解决剩余文件的重命名问题： ```bash ls -l /var/log/app/ ``` 让我先看看各文件的权限和属主情况，再决定如何处理。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出仅提出再次执行 ls -l 检查权限，既未识别「部分成功」中间状态的风险，也未提出回滚或提权完成的任何策略。整体表现远低于参考答案的质量要求，属于严重不及格。 【GEMINI】模型在处理复杂文件操作任务时，缺乏对「部分成功」状态的敏感度。在面临权限错误导致的操作中断时，首要任务应是确保系统恢复到一致性状态（回滚或修复），而非盲目继续。候选回复未能体现出对系统稳定性的保护意识，未达到困难档要求的异常处理标准。 【KIMI】候选输出严重偏离参考答案的核心要求。参考答案明确强调必须先执行回滚以消除「部分成功」的混乱状态，再统一解决权限问题；而候选输出完全忽略了这一关键步骤，试图在不一致的状态下继续操作，存在明显的安全风险。候选输出缺乏对批量重命名原子性的理解，也未展示系统性的故障恢复思维。

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：「批量重命名文件」
• 查看该模型的所有评测结果：qwen3-coder-next
• 浏览同维度的其他用例：「文件操作与恢复」
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