StepFun: Step 3.5 Flash 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：StepFun: Step 3.5 Flash
- 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：77.2 分（满分 100 分），已通过
基础难度评测结果
- 得分：77.2 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：
我来帮您完成这个任务。首先，让我列出 `/workspace/docs` 目录下的文件，确认需要重命名的文件。 /workspace/docs
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出整体方向正确，遵循了「先列出文件再操作」的基本原则，但与参考答案相比存在两点不足：1）未在调用工具前完整说明后续重命名的计划和逻辑；2）使用`ls`工具列出整个目录而非精确过滤`temp_*.txt`文件，降低了确认步骤的精准性。总体来说是一个合格但不够完善的回答。 【GEMINI】模型能够理解并执行「先检查后操作」的逻辑，但在工具调用的精确度上略有欠缺。建议在调用「ls」时直接使用通配符过滤，以更高效地完成确认步骤。 【KIMI】候选输出基本完成了任务的核心要求（先确认再操作），但在工具调用格式上与 EVAL_BLOB 中演示的标准格式不一致，且对后续重命名方案的说明不够完整。整体表现及格，但距离优秀还有提升空间。
进阶难度评测结果
- 得分：32.2 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：
明白了。我将先检查目录下是否已存在 photo_*.jpg 文件，以避免覆盖。 /workspace/images
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出相比参考答案差距显著。参考答案直接给出了完整的 shell 脚本，包含循环遍历、计数器自增、冲突检测（if [ -e "$target" ]）、跳过记录和成功记录等所有关键要素。而候选输出仅表达了「先检查是否存在冲突」的意图，并调用 ls 工具查看目录，未提供任何可执行的冲突处理逻辑或批量重命名方案。这种「只启动第一步工具调用而不给出解决方案」的方式无法满足用户需求，属于严重不完整的回答。 【GEMINI】模型在面对用户提出的冲突处理要求时，表现得过于保守。虽然正确识别了需要先检查环境，但未能直接给出解决冲突的方案或脚本，导致任务执行效率低下，未能达到困难档对自动化处理的要求。 【KIMI】候选输出展现了基本的问题理解能力，能够识别到命名冲突风险并计划进行检查，这是正确的思路。但输出过于简略，仅包含一个未完成的 ls 工具调用，缺乏完整的脚本实现、循环逻辑、序号递增机制和详细的操作日志规划。与参考答案相比，候选输出更像是一个「开始执行」的中间状态，而非一个完整的、可直接运行的解决方案。建议在后续输出中补充完整的 shell 脚本，包含文件遍历、序号递增、冲突检查、重命名操作和日志输出等完整环节。
困难难度评测结果
- 得分：— 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：
系统报错（阶段=模型生成; 模块=app.services.inference.call_text_model; provider=openrouter; model=stepfun/step-3.5-flash）：[app.services.inference.call_text_model][provider=openrouter][model=stepfun/step-3.5-flash] HTTP 405
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【KIMI】候选输出为模型推理失败的系统错误信息（HTTP 405），并非针对用户问题的实际响应。该输出完全不满足「困难档」任务要求：未处理命名冲突与部分成功状态、未提出回滚策略、未进行环境诊断、未展示原子性理解。此为完全失效的输出，两个评分维度均为 0 分。 【CLAUDE】候选输出并非模型生成内容，而是推理服务调用失败产生的系统级错误信息（HTTP 405 Method Not Allowed）。模型实际上未能产出任何有效回复，在所有评分维度上均为零分。此次评测结果反映的是服务可用性问题，而非模型能力本身。 【GEMINI】候选输出为 API 调用失败的错误信息，未完成任何任务目标。模型未能针对「部分成功」的中间状态提供任何解决方案或回滚策略，在所有评估维度上均未达到及格线。
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