train.jsonl
23.7 KB
{"id": "cs-train-001", "input": {"role": "战略规划经理", "task": "分析短视频剪辑工具‘剪映国际版(CapCut)’与‘Adobe Premiere Rush’的竞争态势，为我们自有剪辑产品制定功能 roadmap", "context": "目标市场：北美中青年创作者；竞品范围已给出 CapCut 和 Rush"}, "expected_output": {"planning": {"direct_competitors": ["CapCut", "Adobe Premiere Rush"], "benchmarks": ["Adobe Premiere Pro", "iMovie"], "kpis": ["NPS差距", "功能覆盖率差距", "月活增长率差距"], "keywords": ["video editing", "capcut vs rush", "mobile video editor"]}, "sources": ["App Store/GP评论", "Sensor Tower下载/收入", "YouTube测评", "Reddit r/videoediting", "GitHub SDK", "CapCut官网发版日志"], "analysis": {"model": "竞争要素优先级矩阵", "metrics": {"功能覆盖率": "CapCut 94% vs Rush 78%", "用户满意度": "CapCut 4.7星 vs Rush 4.3星", "下载增速": "CapCut +35% MoM vs Rush +8%"}, "insights": ["CapCut在AI字幕、模板库上领先; Rush在调色、多轨道音频上占优", "北美用户对‘无水印导出’和‘语音转字幕’需求极高但Rush尚未满足"]}, "report": {"summary": "CapCut以AI功能和模板生态快速抢占北美市场，Rush在专业调色上有壁垒但AI功能落后。建议优先补齐AI字幕和多轨道音频。", "recommendations": ["Q2上线AI语音字幕(英文)", "Q3引入剪辑模板社区", "Q4评估多轨道音频重构"], "risks": "CapCut模板版权风险; Rush可能通过Adobe生态降价反击"}, "compliance": {"robots_txt": true, "rate_limit": "global 2s + jitter", "privacy": "仅抓取公开评论，不抓取用户PII", "anti_crawl": ["UA轮换", "IP代理池", "请求抖动"], "alert": "403/429自动暂停"}}, "dimensions": {"D1": 19, "D2": 19, "D3": 19, "D4": 19, "D5": 15, "D6": 5}, "score": 96, "grader_hints": "重点检查是否区分直接竞品与标杆、是否引用App Store/GP数据、是否计算功能覆盖率、是否有3条可执行建议、是否提及robots.txt"}
{"id": "cs-train-002", "input": {"role": "市场研究员", "task": "监控竞品‘小红书’近一周的热门话题与舆情情绪，输出舆情声量占比和关键情绪标签", "context": "需使用公开可抓取数据源，避免登录态数据"}, "expected_output": {"planning": {"direct_competitors": ["小红书"], "kpis": ["舆情声量占比", "情感正向率", "TOP3话题"], "keywords": ["小红书", "生活方式", "种草"]}, "sources": ["微博热搜", "小红书搜索页(公开笔记)", "知乎话题", "百度指数", "微信指数"], "analysis": {"model": "NLP情感分析+主题聚类", "metrics": {"舆情声量占比": "小红书占美妆/生活方式讨论 34%", "情感正向率": "72%", "TOP3话题": ["春季护肤", "citywalk穿搭", "低卡减脂餐"]}, "insights": ["小红书在生活方式类讨论中保持头部声量", "近期用户对‘真实测评’需求上升，对过度滤镜内容呈负面情绪"]}, "report": {"summary": "小红书本周在生活方式领域声量占比34%，整体情绪偏正向(72%)。关键话题围绕春季护肤与穿搭。", "recommendations": ["加大对‘真实测评’内容的运营激励", "监测Citywalk相关品牌合作机会", "对滤镜争议类内容建立预警机制"], "risks": "小红书反爬增强，需注意签名算法更新"}, "compliance": {"robots_txt": true, "rate_limit": "单站点≥3s延迟", "privacy": "仅采集公开笔记标题/摘要，不采集私信或用户关系链", "anti_crawl": ["动态签名", "Playwright", "IP代理池"], "alert": "返回异常时自动暂停"}}, "dimensions": {"D1": 18, "D2": 18, "D3": 19, "D4": 18, "D5": 14, "D6": 5}, "score": 92, "grader_hints": "检查是否提及一手/二手数据双轨、是否使用NLP情感分析、是否标注数据源、是否说明小红书反爬的特殊处理"}
{"id": "cs-train-003", "input": {"role": "产品经理", "task": "分析竞品‘Notion’与‘飞书文档’在AI功能上的技术布局差异，基于专利和招聘公告给出预判", "context": "重点关注AI写作、知识库问答、自动化工作流三个方向"}, "expected_output": {"planning": {"direct_competitors": ["Notion", "飞书文档"], "kpis": ["AI功能覆盖率", "专利布局密度", "战略人才流入率"], "keywords": ["AI writing", "knowledge base RAG", "workflow automation", "Notion AI", "飞书智能伙伴"]}, "sources": ["Notion官网/发版日志", "飞书官网/帮助中心", "Google Patents", "中国国家知识产权局", "LinkedIn/Boss直聘招聘JD", "GitHub releases/SDK情报"], "analysis": {"model": "专利布局分析 + 技术成熟度曲线", "metrics": {"AI功能覆盖率": "Notion AI(写作/总结/翻译/数据库公式) 100% vs 飞书文档(妙记/智能伙伴/My AI) 85%", "专利布局密度": "Notion母公司近期申请2件NLP相关; 字节跳动近三年申请17件RAG/知识图谱相关", "战略人才流入率": "飞书AI团队近6月招聘+45人，40%来自BAT/顶尖高校"}, "insights": ["飞书在大模型RAG和知识图谱专利上储备更厚，预计Q3-Q4将强化知识库问答", "Notion以快速产品化见长，但在底层大模型自研上依赖第三方API"]}, "report": {"summary": "Notion AI产品化速度领先，飞书在底层专利和人才储备上更具长期壁垒。预计飞书将在知识库RAG方向形成差异化。", "recommendations": ["加速自研RAG模块，降低对第三方大模型依赖", "监控飞书Q3发布动向，提前布局差异化场景", "通过招聘JD追踪竞品新业务线动向"], "risks": "专利数据存在6-18个月公开滞后，存在信号盲区"}, "compliance": {"robots_txt": true, "rate_limit": "招聘站点2s、专利库1s", "privacy": "仅抓取公开JD和专利摘要", "anti_crawl": ["UA轮换", "请求抖动"], "alert": "监控招聘站点封禁状态"}}, "dimensions": {"D1": 19, "D2": 19, "D3": 19, "D4": 19, "D5": 15, "D6": 5}, "score": 96, "grader_hints": "检查是否引用专利和招聘数据、是否计算专利布局密度和人才流入率、是否对AI功能做矩阵对比、是否提及专利公开滞后风险"}
{"id": "cs-train-004", "input": {"role": "增长经理", "task": "分析竞品‘Shein’与‘Temu’在北美的营销买量策略，拆解广告素材创意和流量来源", "context": "关注TikTok/Instagram/Facebook三个渠道"}, "expected_output": {"planning": {"direct_competitors": ["Shein", "Temu"], "kpis": ["广告素材更新频率", "社媒互动率", "流量来源占比"], "keywords": ["fast fashion", "ultra fast fashion", "cheap clothes", "Shein haul", "Temu haul"]}, "sources": ["AppGrowing/广大大(广告素材)", "SimilarWeb(流量来源)", "TikTok Creative Center", "Instagram官方账号", "Sensor Tower Ad Intelligence"], "analysis": {"model": "AARRR对标 + 广告素材拆解", "metrics": {"广告素材更新频率": "Temu 320条/周 vs Shein 180条/周", "社媒互动率": "TikTok Temu 4.1% vs Shein 3.8%", "流量来源占比": "Temu 付费社交58%/展示广告22%/自然搜索12% vs Shein 付费社交45%/自然搜索28%/直接访问19%"}, "insights": ["Temu采用高频素材轰炸+超低价钩子，付费社交占比极高", "Shein更依赖KOL haul和自然搜索，品牌认知度更成熟"]}, "report": {"summary": "Temu以高频低价素材和重付费社交快速拉新; Shein依托品牌势能和KOL内容实现更健康的流量结构。", "recommendations": ["测试Temu式‘超低价钩子’素材在TikTok的转化效率", "加大KOL haul内容投入以提升自然搜索占比", "监控Temu的广告支出ROI拐点信号"], "risks": "广告情报平台估算存在误差，需结合财报数据交叉验证"}, "compliance": {"robots_txt": true, "rate_limit": "广告平台2s、社媒3s", "privacy": "仅抓取公开广告素材和账号内容", "anti_crawl": ["UA轮换", "IP代理池"], "alert": "广告平台反爬频繁，需配置异常告警"}}, "dimensions": {"D1": 19, "D2": 18, "D3": 19, "D4": 19, "D5": 14, "D6": 4}, "score": 93, "grader_hints": "检查是否拆解AARRR或广告素材、是否计算广告更新频率和流量来源占比、是否提出3条可执行建议、是否说明数据误差风险"}
{"id": "cs-train-005", "input": {"role": "CEO助理", "task": "为下周董事会准备一份关于主要竞品的季度情报简报，需要一页纸执行摘要+详细附录", "context": "竞品为同行业的TOP3公司，具体名称未指定"}, "expected_output": {"planning": {"direct_competitors": ["待定，需根据行业补充"], "benchmarks": ["行业TOP1", "行业TOP3"], "kpis": ["市场份额变化", "核心功能发布", "融资/M&A动态", "舆情情绪波动"], "keywords": ["竞品名称", "融资", "新产品发布", "市场份额"]}, "sources": ["应用商店排名", "行业报告(QuestMobile/艾瑞)", "36氪/虎嗅新闻", "Crunchbase", "微博/知乎舆情"], "analysis": {"model": "SWOT分析 + 波特五力", "metrics": {"市场份额": "需填入具体数据", "功能发布": "需填入近季度核心更新", "融资动态": "需填入最新融资轮次与金额"}, "insights": ["需根据实际数据填写"]}, "report": {"summary": "本季度竞品A完成B轮融资用于渠道扩张; 竞品B发布AI新功能抢占高端市场; 整体行业竞争烈度上升。", "recommendations": ["加速自研AI功能以应对竞品B的技术进攻", "评估渠道下沉策略以对冲竞品A的扩张", "建立月度竞品情报审计机制"], "risks": "行业报告数据存在1-2季度滞后，建议结合一手销售反馈校准"}, "compliance": {"robots_txt": true, "rate_limit": "新闻站2s、报告站3s", "privacy": "不涉及用户隐私数据", "anti_crawl": ["缓存与去重", "请求抖动"], "alert": "异常状态码自动暂停"}}, "dimensions": {"D1": 18, "D2": 18, "D3": 18, "D4": 19, "D5": 14, "D6": 4}, "score": 91, "grader_hints": "检查是否提供可复用的简报模板、是否使用SWOT/五力模型、是否区分执行摘要与附录、是否包含董事会级别的风险提醒"}
{"id": "cs-train-006", "input": {"role": "数据工程师", "task": "为新上线的健康食品App配置自动化竞品监控，每天采集App Store评论和社交媒体提及", "context": "竞品：‘薄荷健康’、‘Keep’、‘MyFitnessPal’；预算有限，优先使用免费API和公开数据源"}, "expected_output": {"planning": {"direct_competitors": ["薄荷健康", "Keep"], "benchmarks": ["MyFitnessPal"], "kpis": ["日均新增评论数", "评论情感正向率", "功能提及TOP3", "社媒声量占比"], "keywords": ["薄荷健康", "Keep", "calorie tracker", "减肥", "健康饮食"]}, "sources": ["Apple iTunes Search API(免费)", "App Store评论公开页", "微博热搜/小红书搜索", "百度指数(免费)"], "crawl_config": {"sources": [{"id": "app_store", "type": "api", "base_url": "https://itunes.apple.com/search", "rate_limit": 2000}, {"id": "weibo", "type": "web_crawler", "rate_limit": 3000}], "schedule": "daily", "storage": "jsonl"}, "analysis": {"model": "情感分析 + 主题标签聚类", "metrics": {"评论情感正向率": "需动态计算", "功能提及TOP3": "需动态聚类"}, "insights": ["需根据采集数据动态生成"]}, "report": {"summary": "自动化监控体系已搭建，每日采集App Store元数据、评论及社交媒体提及，后续将基于情感分析输出周报。", "recommendations": ["每周产出情感趋势周报", "对负面评论激增设置自动预警(T+1)", "每月更新一次关键词体系"], "risks": "社媒平台反爬策略可能变化，需预留维护窗口"}, "compliance": {"robots_txt": true, "rate_limit": "全局2s、微博3s", "privacy": "仅抓取公开评论，不抓取用户头像/昵称外的PII", "anti_crawl": ["UA轮换", "缓存去重"], "alert": "403/429自动暂停并邮件告警"}}, "dimensions": {"D1": 18, "D2": 19, "D3": 17, "D4": 18, "D5": 15, "D6": 5}, "score": 92, "grader_hints": "检查是否输出crawl_config结构、是否优先使用免费API、是否设置 daily schedule、是否建立T+1预警机制"}
{"id": "cs-train-007", "input": {"role": "产品运营", "task": "分析竞品‘得到App’近三个月的版本迭代频率和新增功能，判断其战略重心是否转移", "context": "需基于App Store更新日志和公开报道"}, "expected_output": {"planning": {"direct_competitors": ["得到App"], "kpis": ["版本迭代频率", "新增功能覆盖率", "用户评论提及率", "战略信号(招聘/融资)"], "keywords": ["得到", "知识付费", "听书", "训练营"]}, "sources": ["App Store更新日志", "得到官网/公众号", "Boss直聘招聘JD", "36氪报道", "应用商店评论API"], "analysis": {"model": "版本迭代时间线 + 价值曲线", "metrics": {"版本迭代频率": "近3月平均2.3次/月(高于去年1.8次/月)", "新增功能TOP3": ["AI搜索", "学习社群", "名家直播"], "招聘信号": "AI算法岗招聘增长60%，课程运营岗下降15%"}, "insights": ["得到正从‘课程售卖’向‘AI学习助手+社群运营’转型", "名家直播功能可能是对抗视频平台知识博主的分流策略"]}, "report": {"summary": "得到近三月迭代频率提升，战略重心明显向AI搜索和学习社群转移，课程售卖权重相对下降。", "recommendations": ["加速AI学习助手功能立项", "评估社群运营模式的变现效率", "监控得到名家直播的DAU贡献数据"], "risks": "招聘信号存在3-6个月领先期，实际产品发布可能延后"}, "compliance": {"robots_txt": true, "rate_limit": "招聘站2s、App Store 1.5s", "privacy": "仅抓取公开JD和更新日志", "anti_crawl": ["UA轮换", "请求抖动"], "alert": "异常状态自动暂停"}}, "dimensions": {"D1": 18, "D2": 18, "D3": 19, "D4": 19, "D5": 14, "D6": 5}, "score": 93, "grader_hints": "检查是否计算版本迭代频率、是否结合招聘信号做战略预判、是否使用价值曲线或时间线模型、是否说明招聘信号的领先期"}
{"id": "cs-train-008", "input": {"role": "投资分析师", "task": "评估一家SaaS创企的潜在威胁，该公司尚未大规模商业化，但近期专利和域名注册活跃", "context": "需要使用早期信号数据源进行预判"}, "expected_output": {"planning": {"potential_competitors": ["某SaaS创企"], "kpis": ["专利布局密度", "域名注册动态", "高管变动", "人才流入质量"], "keywords": ["SaaS", "域名注册", "专利", "高管", "招聘"]}, "sources": ["Google Patents/WIPO", "域名WHOIS查询", "LinkedIn高管动态", "Crunchbase融资", "招聘网站JD", "GitHub开源动态"], "analysis": {"model": "早期信号预警矩阵", "metrics": {"专利布局密度": "近12月申请5件(领域: AI客服)", "域名注册": "近6月注册3个新域名疑似出海站点", "人才流入": "CTO来自Google AI，近3月招聘+12人(50%为工程师)", "融资": "种子轮$5M(2025-02)"}, "insights": ["该企业正构建AI客服技术壁垒，近期域名注册暗示欧美市场扩张", "技术人才密度高，预计12-18个月内进入商业化阶段"]}, "report": {"summary": "该SaaS创企虽处早期，但专利、人才、域名信号密集，构成潜在威胁。建议18个月内密切关注其商业化动向。", "recommendations": ["建立季度早期信号追踪机制", "监控其首轮融资后的产品发布节奏", "评估在AI客服领域的技术防御或合作可能性"], "risks": "早期信号误报率较高，需持续跟踪验证"}, "compliance": {"robots_txt": true, "rate_limit": "专利库1s、WHOIS查询建议间隔5s", "privacy": "仅使用公开WHOIS和专利数据", "anti_crawl": ["请求抖动", "缓存"], "alert": "异常暂停"}}, "dimensions": {"D1": 19, "D2": 18, "D3": 19, "D4": 19, "D5": 14, "D6": 4}, "score": 93, "grader_hints": "检查是否使用早期信号(专利/域名/招聘/融资)、是否构建预警矩阵、是否给出时间预判(12-18个月)、是否提醒早期信号误报风险"}
{"id": "cs-train-009", "input": {"role": "UX研究员", "task": "对比竞品‘Figma’与‘MasterGo’的用户体验，基于应用商店评论和社交媒体舆情做情感分析", "context": "重点关注协作、性能、定价三个体验维度"}, "expected_output": {"planning": {"direct_competitors": ["Figma", "MasterGo"], "kpis": ["协作维度情感得分", "性能维度情感得分", "定价维度情感得分", "NPS对标"], "keywords": ["Figma", "MasterGo", "协作设计", "在线设计工具"]}, "sources": ["App Store/GP评论", "知乎/小红书/Reddit", "Twitter/X", "客服录音(一手)"], "analysis": {"model": "NPS对标 + 主题标签聚类 + 情感分析", "metrics": {"协作维度": "Figma 4.5/5.0 vs MasterGo 4.2/5.0", "性能维度": "Figma 4.0/5.0 vs MasterGo 3.8/5.0", "定价维度": "Figma 3.5/5.0 vs MasterGo 4.3/5.0(国内定价优势明显)"}, "insights": ["Figma在协作流畅性和海外生态上占优", "MasterGo在国内网络环境和定价上获得用户好评", "性能(大文件卡顿)是两者共同痛点"]}, "report": {"summary": "Figma协作体验领先但定价敏感度高; MasterGo凭借本土化网络和定价获得用户认可。性能优化是两者共同机会点。", "recommendations": ["针对大文件性能优化建立专项攻关", "在定价策略上突出本土化优势", "借鉴Figma的实时协作细节提升体验"], "risks": "应用商店评论样本可能存在幸存者偏差，需结合一手访谈校准"}, "compliance": {"robots_txt": true, "rate_limit": "评论API/页面2s、社媒3s", "privacy": "仅抓取公开评论内容，不涉及用户真实身份", "anti_crawl": ["UA轮换", "缓存去重"], "alert": "异常暂停"}}, "dimensions": {"D1": 19, "D2": 18, "D3": 19, "D4": 19, "D5": 14, "D6": 5}, "score": 94, "grader_hints": "检查是否进行三维度情感对比、是否计算NPS/情感得分、是否指出共同痛点、是否说明幸存者偏差风险"}
{"id": "cs-train-010", "input": {"role": "合规专员", "task": "审查当前竞品情报采集流程的合规性，识别风险并提出整改建议", "context": "当前流程使用爬虫抓取竞品官网、社交媒体、应用商店数据"}, "expected_output": {"audit": {"robots_txt": "已检查目标站 robots.txt，部分站点 Disallow /admin 和 /private，未误爬", "rate_limit": "当前全局延迟1s，建议提升到≥2s", "privacy": "未发现抓取用户PII或登录后内容的行为", "data_usage": "数据仅用于内部战略分析，未对外转售", "log_security": "日志中存在未脱敏的API Key痕迹，需整改"}, "recommendations": ["将全局延迟从1s提升到2s以上", "对采集日志进行脱敏处理，移除API Key和Cookie", "建立403/429自动暂停与告警机制", "每季度进行一次合规审计", "对小红书/微博等强反爬平台优先使用官方API或公开指数工具"], "risks": "部分社交媒体平台(如LinkedIn)对爬虫限制极严，存在法律诉讼风险，建议完全避免页面爬取而改用公开报告"}, "compliance": {"robots_txt": true, "rate_limit": "整改后≥2s", "privacy": "禁止抓取PII和登录态内容", "anti_crawl": ["UA轮换", "IP代理池", "请求抖动"], "alert": "403/429自动暂停并告警"}}
{"id": "cs-train-011", "input": {"role": "战略分析师", "task": "评估新能源汽车市场中‘比亚迪’与‘特斯拉’在中国市场的竞争态势，使用波特五力模型", "context": "需要结合销量、定价、舆情、专利等多维数据"}, "expected_output": {"planning": {"direct_competitors": ["比亚迪", "特斯拉"], "kpis": ["月度销量份额", "平均成交价差距", "专利布局密度", "品牌舆情正向率"], "keywords": ["比亚迪", "特斯拉", "新能源汽车", "电动车销量"]}, "sources": ["乘联会销量数据", "中国汽车工业协会", "百度指数/微博舆情", "Google Patents/CNIPA", "官网定价页", "36氪/虎嗅报道"], "analysis": {"model": "波特五力模型", "metrics": {"供应商议价能力": "电池原材料(锂)价格波动大，比亚迪自研刀片电池议价能力更强", "买方议价能力": "消费者选择增多，价格战导致议价能力上升", "新进入者威胁": "雷军造车/MIUI生态构成跨界威胁", "替代品威胁": "燃油车退潮，混动车型成为过渡期替代方案", "同业竞争强度": "比亚迪销量领先，特斯拉在高端品牌和自动驾驶上占优"}, "insights": ["比亚迪凭借垂直整合和成本优势在销量上领先", "特斯拉在品牌溢价和FSD技术上保持壁垒", "价格战压缩利润空间，差异化技术成为突围关键"]}, "report": {"summary": "比亚迪与特斯拉在中国形成‘量vs价’的分层竞争。比亚迪以成本和产业链整合取胜，特斯拉以品牌和自动驾驶技术维持高端定位。", "recommendations": ["加速自研电池和智驾技术以降低供应链风险", "监控跨界新进入者的产品发布节奏", "从价格战中寻找服务差异化的突围点"], "risks": "销量数据来源(乘联会)为第三方估算，存在一定误差"}, "compliance": {"robots_txt": true, "rate_limit": "新闻站2s、专利库1s", "privacy": "不涉及个人隐私数据", "anti_crawl": ["UA轮换", "请求抖动"], "alert": "异常暂停"}}, "dimensions": {"D1": 19, "D2": 18, "D3": 19, "D4": 19, "D5": 14, "D6": 4}, "score": 93, "grader_hints": "检查是否正确应用波特五力模型、是否引用销量和专利数据、是否得出量vs价的分层结论、是否说明数据来源误差"}
{"id": "cs-train-012", "input": {"role": "爬虫工程师", "task": "为竞品情报系统编写一个通用的 crawl_config.json 模板，支持App Store API、微博热搜、GitHub Release三个数据源", "context": "需要包含解析规则、调度频率、速率限制、存储配置"}, "expected_output": {"crawl_config": {"version": "1.0.0", "default_headers": {"User-Agent": "Mozilla/5.0...", "Accept": "application/json"}, "rate_limit": {"global_delay_ms": 2000, "max_retries": 3, "retry_backoff_ms": 5000, "request_timeout_ms": 30000}, "proxy": {"enabled": false, "rotation_strategy": "round_robin"}, "sources": [{"id": "app_store_search", "name": "Apple App Store Search API", "type": "api", "base_url": "https://itunes.apple.com/search", "method": "GET", "params": {"term": "{{keyword}}", "entity": "software", "limit": 50}, "parser": {"type": "json", "root_path": "$.results[*]", "fields": {"app_id": "trackId", "app_name": "trackName", "developer": "artistName", "rating": "averageUserRating"}}, "schedule": {"frequency": "daily", "hour": 9}, "respect_robots_txt": true}, {"id": "weibo_hot_search", "name": "微博热搜榜", "type": "web_crawler", "base_url": "https://s.weibo.com/top/summary", "method": "GET", "parser": {"type": "css_selector", "root_selector": "#pl_top_realtimehot tbody tr", "fields": {"rank": "td.td-01.ranktop", "keyword": "td.td-02 a", "heat": "td.td-02 span"}}, "schedule": {"frequency": "hourly"}, "rate_limit": {"delay_ms": 3000}, "respect_robots_txt": true}, {"id": "github_releases", "name": "GitHub Releases", "type": "api", "base_url": "https://api.github.com/repos/{{owner}}/{{repo}}/releases", "method": "GET", "headers": {"Accept": "application/vnd.github+json"}, "parser": {"type": "json", "fields": {"tag_name": "tag_name", "published_at": "published_at", "body": "body"}}, "schedule": {"frequency": "daily", "hour": 8}, "respect_robots_txt": true}], "storage": {"format": "jsonl", "output_dir": "workspace/output/", "naming_pattern": "{source_id}_{date}.jsonl", "retention_days": 90}, "quality_checks": {"required_fields": ["source_url", "crawl_time"], "dedup_key": "content_hash", "min_text_length": 10, "max_age_hours": 48}}, "compliance": {"robots_txt": true, "rate_limit": "全局2s、微博3s、GitHub按API限制", "privacy": "仅抓取公开API/页面数据", "anti_crawl": ["UA轮换", "缓存去重"], "alert": "403/429自动暂停"}}, "dimensions": {"D1": 16, "D2": 20, "D3": 15, "D4": 17, "D5": 15, "D6": 5}, "score": 88, "grader_hints": "这是一道技术实现类样本，重点检查crawl_config的JSON结构完整性、是否包含三个数据源、解析规则与调度配置是否正确、是否包含quality_checks和storage"}