{"id":"10556e13-6bfa-4ec0-9d15-96d21b57c232","slug":"clawhub-pandleeai-traehot","name":"Trae-Hot","description":"TRAE AI创造力大赛批量申报工作流。引导式互动：选题→报名帖→HTML产品页→初赛深化→初赛帖→模拟评委打分→视频脚本→打分预测→回收。调用cheat-on-content做内容评分与预测。当用户提到大赛申报、做demo、报名帖、初赛帖、视频脚本、打分预测时使用。","canonicalUrl":"https://www.xpersona.co/agent/clawhub-pandleeai-traehot","sourceUrl":"https://clawhub.ai/pandleeai/traehot","homepage":"https://clawhub.ai/pandleeai/skills/traehot","source":"CLAWHUB","vendor":{"slug":"clawhub","label":"Clawhub","url":"https://clawhub.ai/pandleeai/skills/traehot"},"protocols":["OPENCLEW"],"capabilities":[],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":"0.1.0","freshnessAt":"2026-10-09T21:08:34.430Z","freshnessLabel":"Oct 9, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Oct 9, 2026"},{"label":"Vendor","value":"Clawhub"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"0.1.0"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Clawhub","href":"https://clawhub.ai/pandleeai/skills/traehot","sourceUrl":"https://clawhub.ai/pandleeai/skills/traehot","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T21:08:34.430Z","isPublic":true},{"factKey":"protocols","category":"compatibility","label":"Protocol compatibility","value":"OpenClaw","href":"https://www.xpersona.co/api/v1/agents/clawhub-pandleeai-traehot/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-pandleeai-traehot/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-10-09T21:08:34.430Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"2K downloads","href":"https://clawhub.ai/pandleeai/traehot","sourceUrl":"https://clawhub.ai/pandleeai/traehot","sourceType":"profile","confidence":"medium","observedAt":"2026-10-09T21:08:34.430Z","isPublic":true},{"factKey":"latest_release","category":"release","label":"Latest release","value":"0.1.0","href":"https://clawhub.ai/pandleeai/traehot","sourceUrl":"https://clawhub.ai/pandleeai/traehot","sourceType":"release","confidence":"medium","observedAt":"2026-08-10T13:22:27.542Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/clawhub-pandleeai-traehot/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/clawhub-pandleeai-traehot/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["2K downloads","Trust evidence available"],"agentCard":{"name":"Trae-Hot","description":"TRAE AI创造力大赛批量申报工作流。引导式互动：选题→报名帖→HTML产品页→初赛深化→初赛帖→模拟评委打分→视频脚本→打分预测→回收。调用cheat-on-content做内容评分与预测。当用户提到大赛申报、做demo、报名帖、初赛帖、视频脚本、打分预测时使用。","source":"CLAWHUB","sourceId":"clawhub:s170jzzknywxvr8m26vn7tgach8c6mes:traehot","homepage":"https://clawhub.ai/pandleeai/skills/traehot","repository":"https://clawhub.ai/pandleeai/traehot","documentation":"https://www.xpersona.co/agent/clawhub-pandleeai-traehot","protocols":["OPENCLEW"],"examples":[{"kind":"example","language":"text","snippet":"<user-content-project>/\n├── .gitignore                         # cheat-init 创建；挡住 .auth*/.cheat-secrets.json 等凭证\n├── rubric_notes.md                    # 评分规则的真实来源\n├── WORKFLOW.md                        # 5 阶段流程文档（cheat-init 创建）\n├── STATUS.md                          # 看板（cheat-status 维护）\n├── .cheat-state.json                  # 状态文件，子 skill 共享上下文\n├── .cheat-cache/                      # 不入版本控制\n│   ├── usage.jsonl                    # 钩子被动记录的使用日志\n│   └── trends-history.jsonl           # cheat-trends 的去重缓存\n├── .claude/\n│   └── settings.json                  # 含 prediction-immutability hook\n├── benchmark.md                       # 对标账号信息（cheat-learn-from 维护）\n├── audience.md                        # 受众画像（cheat-persona 派生；blind 硬禁读）\n├── scripts/                           # 拍前的所有草稿（cheat-seed 写或用户写）\n│   └── YYYY-MM-DD_<id>_<short>.md\n├── predictions/                       # immutable 预测日志（hook 保护）\n│   └── YYYY-MM-DD_<id>_<short>.md     # 与 scripts/ 同 id\n├── videos/                            # 拍后才建（cheat-shoot 创建）\n│   └── YYYY-MM-DD_<id>_<short>/\n│       ├── script.md                  # 用户提供的最终拍摄稿（cheat-shoot 时询问\"和 scripts/ 一致吗\"）\n│       └── report.md                  # T+3d 抓的数据 + 评论（cheat-retro 写）\n├── samples/                           # 对标账号视频 / 转录（cheat-learn-from 创建）\n│   └── <账号名>/<video-id>/{source.mp4 (可选), transcript.md, meta.md}\n├── candidates.md                      # 选题池（可选）\n└── content.db                         # 可选 SQLite，校准池规模化后启用"},{"kind":"example","language":"text","snippet":"cheat-on-content/\n├── SKILL.md                           # 本文件（总协议 + 路由）\n├── README.md                          # 营销门面\n├── skills/                            # 子 skill 集\n│   ├── cheat-init/SKILL.md            # ✅ 入口：onboarding 与脚手架\n│   ├── cheat-learn-from/SKILL.md      # ✅ 对标账号导入（拆 pattern + 派生 base rubric 信号）\n│   ├── cheat-seed/SKILL.md            # ✅ Cold-start 选题启动器（brainstorm + 可选 draft）\n│   ├── cheat-score/SKILL.md           # ✅ 单稿打分（不写文件）\n│   ├── cheat-predict/SKILL.md         # ✅ 盲预测 + immutable 日志\n│   ├── cheat-shoot/SKILL.md           # ✅ 登记拍摄（buffer +1）\n│   ├── cheat-publish/SKILL.md         # ✅ 发布元数据登记（buffer -1）\n│   ├── cheat-retro/SKILL.md           # ✅ 数据回收 + 复盘\n│   ├── cheat-persona/SKILL.md         # ✅ 受众画像派生（从复盘评论聚类）\n│   ├── cheat-bump/SKILL.md            # ✅ rubric 升级（含跨模型审）\n│   ├── cheat-recommend/SKILL.md       # ✅ 候选池排序推荐（按 buffer 颜色 + 1 稳 + 1 实验）\n│   ├── cheat-trends/SKILL.md          # ✅ 热点抓取（日常补充候选池，多 adapter）\n│   ├── cheat-status/SKILL.md          # ✅ 状态看板（含 buffer 警戒）\n│   ├── cheat-migrate/SKILL.md         # ✅ schema 升级（老用户 git pull 后用）\n│   └── cheat-score-blind/SKILL.md     # ✅ Channel B 隔离打分 sub-agent（仅 Task tool 调用）\n├── migrations/                        # schema 演进单一来源\n│   ├── registry.md                    # ✅ LATEST_SCHEMA + 版本链表\n│   └── <from>-to-<to>.md              # ✅ 每步迁移的 WHAT/WHY/HOW/Manual fallback\n├── shared-references/                 # 跨 skill 共享协议\n│   ├── blind-prediction-protocol.md   # ✅ 原则 #1\n│   ├── bump-validation-protocol.md    # ✅ 原则 #2\n│   ├── observation-lifecycle.md       # ✅ 原则 #3\n│   ├── prediction-anatomy.md          # ✅ 一份合格预测的 7 个组件\n│   ├── candidate-schema.md            # ✅ 候选项统一 schema\n│   ├── cadence-protocol.md            # ✅ 节奏协议（buffer 警戒 + 选题策略）\n│   ├── state-management.md            # ✅ .cheat-state.json 读写约定\n│   └── migration-protocol.md          # ✅ schema 演进哲学 + maintainer checklist\n├── starter-rubrics/                   # 各内容形态的先验 rubric\n│   ├── opinion-video.md               # ✅ 观点视频（中文，已校准 25+"}]}}