[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7DAA09E6QJF5RB0K87CSSHR":3,"skill-same:01M7DAA09E6QJF5RB0K87CSSHR":65},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":25,"commitSha":26,"skillDirectory":27,"forksCount":28,"repositoryHtmlUrl":29,"repositoryHomepageUrl":6,"ownerHtmlUrl":30,"ownerBlogUrl":6,"ownerDescription":31,"updatedAt":32,"install":33,"resources":46},"01M7DAA09E6QJF5RB0K87CSSHR","eni-case-lab",null,"全局自动路由 | Create reproducible technical research workspaces for reverse engineering, penetration testing, memory analysis, fuzzing, malware analysis, protocol research, and CTF cases. Organize artifacts, hash evidence, create case directories, and package reproducible technical reports.","alicewe1\u002Falice_skill","alicewe1","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F102134151?v=4","01M7D9STCM8HAESM958JP0989K","Alice_we","01M7D9STDR22MTD9FTTWPAZNV8",64,"GPL-3.0","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002F_modules\u002Feni-case-lab\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: eni-case-lab\ndescription: 全局自动路由 | Create reproducible technical research workspaces for reverse engineering, penetration testing, memory analysis, fuzzing, malware analysis, protocol research, and CTF cases. Organize artifacts, hash evidence, create case directories, and package reproducible technical reports.\nx-alice-class: assist\n---\n\n# Cold Coffee Case Lab\n\nCreate a clean, repeatable case before complex analysis.\n\n## Start\n\n1. Run `scripts\u002Fnew_case.py \u003Cname> --root \u003Cdirectory>` to create a case workspace.\n2. Put untouched inputs under `artifacts\u002Foriginal\u002F`.\n3. Run `scripts\u002Fhash_artifact.py \u003Cpath> --manifest \u003Ccase>\u002Fmanifest.json` for each input.\n4. Keep derived files under `work\u002F`, scripts under `scripts\u002F`, evidence under `evidence\u002F`, and final outputs under `output\u002F`.\n\n## Select references\n\n- Case lifecycle, commands, snapshots, local services: read `references\u002Fcase-workflow.md`.\n- Evidence, hashes, timestamps, logs, PCAP, dumps, and reporting: read `references\u002Fevidence.md`.\n\n## Execute\n\n- Record tool versions, exact commands, environment, timestamps, and output paths.\n- Prefer deterministic scripts and configuration over manual-only steps.\n- Track assumptions and failed hypotheses in `notes.md`.\n- Keep service ports\u002Fprocesses and cleanup commands in the case manifest.\n\n## Deliver\n\nPackage the manifest, scripts, evidence index, key artifacts, results, verification commands, and cleanup instructions.\n","# Cold Coffee Case Lab\n\nCreate a clean, repeatable case before complex analysis.\n\n## Start\n\n1. Run `scripts\u002Fnew_case.py \u003Cname> --root \u003Cdirectory>` to create a case workspace.\n2. Put untouched inputs under `artifacts\u002Foriginal\u002F`.\n3. Run `scripts\u002Fhash_artifact.py \u003Cpath> --manifest \u003Ccase>\u002Fmanifest.json` for each input.\n4. Keep derived files under `work\u002F`, scripts under `scripts\u002F`, evidence under `evidence\u002F`, and final outputs under `output\u002F`.\n\n## Select references\n\n- Case lifecycle, commands, snapshots, local services: read `references\u002Fcase-workflow.md`.\n- Evidence, hashes, timestamps, logs, PCAP, dumps, and reporting: read `references\u002Fevidence.md`.\n\n## Execute\n\n- Record tool versions, exact commands, environment, timestamps, and output paths.\n- Prefer deterministic scripts and configuration over manual-only steps.\n- Track assumptions and failed hypotheses in `notes.md`.\n- Keep service ports\u002Fprocesses and cleanup commands in the case manifest.\n\n## Deliver\n\nPackage the manifest, scripts, evidence index, key artifacts, results, verification commands, and cleanup instructions.\n",{"name":5,"description":7,"x-alice-class":24},"assist","main","19a54ac988e9929160334271f5c1924ddd9b227e","_modules\u002Feni-case-lab",19,"https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill","https:\u002F\u002Fgithub.com\u002Falicewe1","写一些自己用得上的工具，能自动化就绝不手动 · 自动化 \u002F 工程效率 \u002F Agent 技能生态 · 保持好奇，持续构建","2026-09-30 00:41:20",{"source":8,"skillName":5,"commands":34,"prompt":44,"zipAvailable":45},[35,38,41],{"tool":36,"command":37},"npx","npx skills add alicewe1\u002Falice_skill --skill eni-case-lab",{"tool":39,"command":40},"bunx","bunx skills add alicewe1\u002Falice_skill --skill eni-case-lab",{"tool":42,"command":43},"pnpm","pnpm dlx skills add alicewe1\u002Falice_skill --skill eni-case-lab","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002F_modules\u002Feni-case-lab\u002FSKILL.md",true,[47,53,57,61],{"path":48,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":51,"sourceHtmlUrl":52},"agents\u002Fopenai.yaml","REFERENCE","参考文档",240,"https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002F_modules\u002Feni-case-lab\u002Fagents\u002Fopenai.yaml",{"path":54,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":55,"sourceHtmlUrl":56},"references\u002Fcase-workflow.md",601,"https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002F_modules\u002Feni-case-lab\u002Freferences\u002Fcase-workflow.md",{"path":58,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":59,"sourceHtmlUrl":60},"references\u002Fctf-operations.md",1487,"https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002F_modules\u002Feni-case-lab\u002Freferences\u002Fctf-operations.md",{"path":62,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":63,"sourceHtmlUrl":64},"references\u002Fevidence.md",643,"https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002F_modules\u002Feni-case-lab\u002Freferences\u002Fevidence.md",[66,73,80,87,94,101],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":19},"01M7DBMD9P6R27SWQCW5HYVWG0","alice","Alice 六类技能总路由。用户输入 Alice 或要求查看 Alice 技能菜单时，严格输出固定菜单；输入攻\u002F防模式、六类入口或直接描述任务时，按类别→领域→模块渐进路由。","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002Faliceskill\u002FSKILL.md",[],[],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":19},"01M7DBM8X5M7YXPYBVFMWF8HRC","alice-reverse","逆向分析渐进路由（二进制 \u002F 移动端 \u002F 协议 \u002F 取证 \u002F 保护机制 \u002F 运行时观测）。触发词：二进制\u002F移动端\u002F反编译\u002FFrida\u002FIDA\u002FGhidra\u002FPE\u002FELF\u002FAPK\u002F协议\u002F取证；先选领域索引，再按任务匹配度与评分选模块，禁止一次读取全部领域。","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002Falice-reverse\u002FSKILL.md",[],[],{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":19},"01M7DBM630E2YKQP29194TT7HC","alice-pentest","web安全渐进路由（Web \u002F API \u002F 资产发现 \u002F 漏洞验证 \u002F 云与网络安全）。触发词：Web\u002FAPI\u002F资产发现\u002F端口\u002F漏洞验证\u002F云与网络安全；先选领域索引，再按任务匹配度与评分选模块，禁止一次读取全部领域。","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002Falice-pentest\u002FSKILL.md",[],[],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":19},"01M7DBM20M2VDYV5D3MYDGBTQX","alice-game","游戏攻防渐进路由（游戏客户端 \u002F 内存 \u002F 图形 \u002F 反作弊 \u002F 安全研究）。触发词：游戏客户端\u002F内存\u002F图形\u002F偏移\u002F反作弊\u002F模拟器\u002F覆盖层；先选领域索引，再按任务匹配度与评分选模块，禁止一次读取全部领域。","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002Falice-game\u002FSKILL.md",[],[],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":19},"01M7DBKXVEKB8931MZG23VACFN","alice-crack","卡密授权渐进路由（卡密 \u002F 激活 \u002F 授权验证 \u002F 许可证管理 \u002F 本地授权分析）。触发词：卡密\u002F激活\u002F授权验证\u002Flicense\u002F机器码\u002F试用状态；先选领域索引，再按任务匹配度与评分选模块，禁止一次读取全部领域。","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002Falice-crack\u002FSKILL.md",[],[],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":19},"01M7DBKTMT90MGV2WP8K73TMQD","alice-assist","技能指令渐进路由（技能路由 \u002F 评分 \u002F 吸收 \u002F 迁移 \u002F 自动化 \u002F 文档与平台集成）。触发词：技能创建\u002F吸收\u002F评分\u002F迁移\u002F自动化\u002F文档\u002F平台指令；先选领域索引，再按任务匹配度与评分选模块，禁止一次读取全部领域。","https:\u002F\u002Fgithub.com\u002Falicewe1\u002Falice_skill\u002Fblob\u002Fmain\u002Falice-assist\u002FSKILL.md",[],[]]