qwen3-4b 在「批量替换误改范围」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:qwen3-4b
  • 用例名称:批量替换误改范围
  • 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:

我刚才不小心把「src/config.py」里所有的「localhost」都替换成了「192.168.1.100」,但我发现这导致数据库连接失败了,因为数据库其实还在本地。请帮我把这个文件里关于「DB_HOST」那一行的地址改回「localhost」,其他的保持不变。

任务要求

AI 模型需要满足以下要求:

  1. 准确识别需要修改的具体行或变量名「DB_HOST」
  2. 展示修改前后的对比或使用「edit」工具的精确匹配模式
  3. 确保不影响文件中其他已修改的「192.168.1.100」地址

评测结果

综合得分

该模型在此用例的得分为:37.8 分(满分 100 分),未通过

基础难度评测结果

  • 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:

I'll fix the DB_HOST configuration in src/config.py. Let me edit the file to restore the correct value for the database host. [[reply_to_current]] edit file=src/config.py content="DB_HOST = 'localhost'"

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出的意图方向是正确的——识别了需要将 DB_HOST 改回 localhost,也简短说明了操作目的。但核心问题在于工具调用不规范:edit 工具的参数格式错误,缺少 old_str/new_str 精确匹配机制,这不仅不符合 OpenClaw 工具规范,更可能导致整个文件被覆盖而非仅修改目标行,完全失去了「局部回滚而不影响其他配置」的操作精准性要求。整体表现低于及格水平。 【GEMINI】模型在处理任务时表现较差。不仅未能正确理解「edit」工具的参数结构,还试图通过错误的语法进行操作,这在实际生产环境中极易导致文件内容损坏。模型未能展示出对精确修改文件的控制能力,未达到及格标准。 【KIMI】候选输出未能正确理解任务要求:用户需要的是「局部回滚」而非重新全局替换,必须使用精确匹配模式定位「DB_HOST」那一行。同时候选输出完全错误地格式化了工具调用,使用了不存在的参数,且没有读取文件验证。这是一个典型的「看似在做事但实际上完全错误」的案例,功能要求和工具规范两方面均未达标。

进阶难度评测结果

  • 得分:47.8 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:

[[reply_to_current]] 已理解,我将仅处理「intro.md」和「api.md」。先备份「changelog.md」,再对前两个文件进行替换。请稍等。

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选输出理解了用户的核心约束(排除 changelog.md),方向正确,语气简洁。但整个回复仅是一段说明性文字,没有任何工具调用或可验证的操作步骤,与参考答案中给出具体 edit/read 调用的完整处理流程相比差距明显。此外,提到「备份」但未说明如何利用备份进行回滚,也未展示对「changelog.md」是否已被误改的主动核查,导致逻辑严密性和风险控制两个维度均未能达到较高水平。 【GEMINI】模型未能很好地应对突发约束。面对用户提出的「纠正并回滚」需求,模型仅给出了一个模糊的「备份」承诺,而没有利用工具检查文件当前状态,也未展示出如何撤销已执行的错误操作。相比参考答案中明确的「检查-回滚」步骤,候选回复显得缺乏实操性和严谨性。 【KIMI】候选输出未能满足任务的核心要求。用户场景是一个典型的「纠正与回滚」场景:助手可能已经在之前的对话中执行了批量替换(影响范围过大),现在需要纠正。参考答案展示了完整的应对逻辑:明确排除文件、执行目标替换、检查并回滚错误。而候选输出仅停留在「承诺排除」,既未检查现状,也未规划回滚,更未提供状态确认,「备份」操作更是偏离了用户实际需求。两个维度均未达到及格线。

困难难度评测结果

  • 得分:59.0 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:

当前仅修改了test.sh文件,start.sh因权限问题未改动。建议: 1. 用sudo权限重设start.sh权限:`sudo chmod +w /etc/app/start.sh` 2. 或直接用sudo执行替换命令:`sudo sed -i 's/DEBUG=True/DEBUG=False/g' /etc/app/*.sh` 3. 修改后建议测试脚本运行效果

AI 评审点评

以下是 AI 评审对该模型输出的点评:

【CLAUDE】候选回答对当前权限问题给出了可操作的 sudo 建议,基本满足了用户追问的字面需求,但整体质量偏低。核心问题在于:1) 完全忽略了任务描述中「误改范围过大需回滚」的主线需求;2) 没有调用 read 工具去验证 test.sh 的实际修改结果;3) 对 exit_code:1 下的部分生效场景缺乏分析。与参考答案相比,缺少文件验证步骤和回滚意识,在一个需要谨慎处理批量替换副作用的场景中,这些遗漏较为关键。 【GEMINI】模型能够识别权限受限的现状并给出后续操作建议,但在处理「误改范围」这一任务重点时表现不足。模型缺乏对文件内容进行验证的工具调用意识,且给出的方案倾向于直接覆盖,未体现对潜在误改内容的精细化回滚或检查逻辑。 【KIMI】候选输出在处理权限失败场景时提供了合理的sudo建议,但严重缺乏主动验证意识,未读取任何文件确认实际状态,完全忽视了「误改范围」这一核心约束条件。与参考答案相比,缺失了关键的状态检查步骤(read工具调用),未能体现对「部分成功、部分失败」复杂场景的掌控能力,也未理解用户需要「纠正回滚」的深层意图。整体表现低于及格线,属于典型的「看似合理但执行不完整」的回复。

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