doubao-seed-1-6 在「批量重命名文件」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：doubao-seed-1-6
- 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：
- 准确识别需要重命名的文件范围（temp_*.txt）
- 提出先使用「ls」或「find」进行检查的计划
- 给出正确的重命名逻辑（如使用 mv 或 rename 命令）
- 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：79.2 分（满分 100 分），已通过
基础难度评测结果
- 得分：79.2 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":"exec","parameters":{"command":"ls /workspace/docs/temp_*.txt"}}]
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型生成结果在工具调用层面表现准确，正确地以「ls」命令列出目标文件作为第一步确认操作，与参考答案的工具调用部分高度一致。但模型缺少对完整操作计划的文字说明，没有提前告知用户后续将如何执行重命名（如使用for循环+mv命令），导致整体回答显得不够完整。对于一个需要「操作前先列出文件确认」的任务，模型只展示了确认步骤，未展示完整的解决方案规划，在逻辑严谨性上略有不足。 【GEMINI】模型在工具调用层面表现准确，能够正确使用「exec」执行 shell 命令。但在逻辑严谨性方面表现不足，未能按照提示词要求提供详细的操作计划、重命名逻辑说明以及针对命名冲突和回滚的策略说明，仅执行了第一步操作，未体现出处理复杂任务的完整流程。 【KIMI】模型表现优秀，严格遵循了系统提示中的工具使用规范（不叙述常规低风险工具调用，直接调用工具），同时准确执行了用户要求的「先列出文件确认」的步骤。工具调用格式规范，命令准确，体现了良好的任务理解和执行能力。若完整回复能继续展示重命名操作，将更加完善。
进阶难度评测结果
- 得分：78.0 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：
[[reply_to_current]] To safely rename files without overwriting existing ones, I'll create a script that checks for conflicts and logs results: 1. Create rename script: ```write /workspace/rename_photos.sh #!/bin/bash cd /workspace/images || { echo "Error: images directory not found" >&2; exit 1; } LOG_FILE="rename_log.txt" echo "Rename log started at $(date)" > "$LOG_FILE" # Collect existing photo numbers existing_numbers=() if ls photo_*.jpg 1>/dev/null 2>&1; then existing_numbers=($(ls -1 photo_*.jpg | sed -E 's/photo_([0-9]+)\.jpg/\1/' | sort -n)) fi # Get files to rename (exclude existing photo_*.jpg) files_to_rename=() while IFS= read -r file; do files_to_rename+=("$file") done /dev/null | grep -v '^photo_[0-9]\+\.jpg$') [ ${#files_to_rename[@]} -eq 0 ] && { echo "No files to rename" >> "$LOG_FILE"; exit 0; } # Rename with conflict checking for file in "${files_to_rename[@]}"; do num=1 while [[ " ${existing_numbers[@]} " =~ " $num " ]]; do ((num++)); done new_name="photo_${num}.jpg" if [ -f "$new_name" ]; then echo "Conflict: $new_name exists, skipped $file" >> "$LOG_FILE" else mv "$file" "$new_name" && { echo "Renamed $file → $new_name" >> "$LOG_FILE" existing_numbers+=($num) existing_numbers=($(printf "%s\n" "${existing_numbers[@]}" | sort -n)) } || echo "Error renaming $file" >> "$LOG_FILE" fi done echo "Completed at $(date)" >> "$LOG_FILE" ``` 2. Make script executable: ```exec chmod +x /workspace/rename_photos.sh``` 3. Run the script: ```exec /workspace/rename_photos.sh``` 4. Check results: ```read /workspace/images/rename_log.txt```
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出实现了文件遍历（通过 ls 过滤非 photo_*.jpg 文件）和序号递增逻辑（num 从1开始，跳过已占用序号后递增），并提供了详细的操作日志（成功/冲突/错误均有记录）。但存在以下问题：1）脚本未直接执行，而是以伪代码块形式展示，实际工具调用（write/exec）未真正发出，任务未实际闭环；2）序号分配逻辑与参考答案的简单递增（i=1, i++）不同，候选方案试图填补空缺序号，行为与用户期望（顺序从1开始）可能有偏差；3）整体方案较复杂，增加了出错风险。参考答案直接给出可执行的单行命令并询问确认，更符合实际操作闭环要求。
困难难度评测结果
- 得分：35.2 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]] 需要使用管理员权限完成剩余文件重命名。执行以下命令处理权限问题： ```exec sudo mv /var/log/app/error.log /var/log/app/backup_error.log && sudo mv /var/log/app/system.log /var/log/app/backup_system.log ``` 此命令将仅针对未成功重命名的 `error.log` 和 `system.log` 执行操作，避免重复处理已完成的 `backup_access.log`。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】模型的核心问题在于将「部分成功」状态视为「继续完成」的起点，而非需要先回滚的异常状态。这与参考答案的核心思路完全相反——参考答案强调先回滚到一致状态，再统一解决权限问题。模型虽然在状态识别上有基本能力，但缺乏对系统一致性和原子性操作的理解，在复杂异常场景下的决策质量较低。 【GEMINI】模型在处理该任务时表现出明显的「任务导向」偏差，过于关注如何完成剩余操作，而忽视了在生产环境或复杂文件操作中至关重要的「原子性」和「回滚机制」。在面对「部分成功」的中间状态时，模型未采取稳健的恢复措施，而是直接尝试继续执行，这在实际运维场景中极易导致数据混乱或系统故障。建议在后续回复中加强对操作风险的评估及对系统一致性的维护。 【KIMI】模型完全忽视了「部分成功」状态的核心风险，未提出回滚策略，而是选择继续完成剩余操作，这与参考答案推荐的「先回滚、再统一解决」思路相悖。虽然识别了权限问题，但环境诊断和决策过程均不充分，未能满足困难档对命名冲突、部分成功和回滚策略的处理要求。
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