项目报告内容摘要

这是一个 AI 大模型评测用例,下面将详细介绍测试内容和各模型的表现。

基本信息

  • 用例名称:项目报告内容摘要
  • 测试类型:xsct-a
  • 评测维度:文档问答
  • 参与评测的模型数:0 个

系统提示词(System Prompt)

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)

以下是当前工作区中的文档 `project_report.docx` 的内容: **文档标题**:2024年第三季度项目进展报告 **作者**:产品运营部 **字数**:约 3200 字 **章节结构**: 1. 执行摘要 2. 项目背景与目标 3. Q3 主要里程碑完成情况 4. 资源投入与成本分析 5. 风险与问题记录 6. Q4 工作计划 7. 附件:数据支撑材料 --- 【执行摘要】 本报告汇总了2024年第三季度(7月-9月)产品运营部主导的三个核心项目的进展情况。整体完成率达到87%,较Q2提升12个百分点。其中,用户增长项目超额完成目标,新增注册用户达45万,DAU峰值突破18万;平台稳定性优化项目按期交付,系统可用性从99.2%提升至99.7%;内容生态建设项目因合作方资源延迟,进度略有滞后,完成率为72%。 【项目背景与目标】 2024年公司战略聚焦"用户体验提升"与"商业化探索"两大方向。产品运营部承担三项核心任务:(1)用户增长:Q3目标新增注册用户40万,DAU稳定在15万以上;(2)平台稳定性优化:系统可用性目标≥99.5%,P99延迟≤200ms;(3)内容生态建设:引入50家优质内容合作方,UGC内容量提升30%。 【Q3 主要里程碑完成情况】 - 7月:完成用户增长渠道A/B测试,确定短视频渠道为主力获客渠道,单用户获客成本降低至8.3元。 - 8月:平台核心服务完成微服务架构迁移,部署蓝绿发布机制,故障恢复时间从平均45分钟缩短至12分钟。 - 9月:内容合作方签约36家(目标50家),UGC内容量环比增长18%(目标30%)。用户增长项目累计新增注册用户45万,DAU峰值18.2万。 【资源投入与成本分析】 本季度总投入预算580万元,实际支出543万元,预算执行率93.6%。其中:用户增长项目投入312万元(含渠道推广费用268万元),平台稳定性优化投入156万元(含云资源扩容费用89万元),内容生态建设投入75万元。人力方面,本季度投入全职人力32人月,外包人力15人月。 【风险与问题记录】 1. 内容合作方签约进度滞后:主要原因为头部合作方商务谈判周期超预期,已调整策略转向中腰部合作方批量签约。 2. 短视频渠道获客质量波动:8月下旬获客用户7日留存率从32%下降至24%,经排查为素材疲劳导致,已更新创意素材库。 3. 云资源成本超预期:微服务迁移期间双集群并行运行,8月云资源费用超预算23万元,迁移完成后已恢复正常水平。 【Q4 工作计划】 1. 用户增长:目标新增注册用户50万,拓展应用商店与社交媒体两个新渠道,目标单用户获客成本控制在7.5元以内。 2. 平台稳定性:目标系统可用性≥99.8%,引入全链路压测机制,完成异地多活架构方案设计。 3. 内容生态建设:Q4目标补齐Q3缺口,累计签约合作方达80家,UGC内容量季度环比增长40%。 4. 新增探索项目:启动商业化变现MVP测试,目标验证至少2种变现模型的可行性。 --- 请帮我总结这份报告的核心要点,包括Q3各项目完成情况、主要问题和Q4计划重点,用简洁的要点列表呈现。

各模型评测结果

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