{"slug":"agentchengfeng-chengfeng-export","name":"chengfeng-export","description":"把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。","long_description":"---\nname: chengfeng-export\ndescription: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。\nuser-invocable: true\n---\n\n# 导出（成片）\n\n**这是链条最后一段，也是整个产品里唯一一个真正画出像素的地方。**\n\n在它之前全部是标注：账本记「播哪些词」，字幕记「屏上写什么」，画面记「盖什么层」，\n预览把这三样实时拼给人看，**不落盘**。导出把它们烧成一个文件。\n\n```text\n需要   edit-list.json（必须）、subtitles.json、visuals.json + modules/\n产出   成片.mp4\n```\n\n前提工具：机器上有 **Google Chrome**（用来把字幕和动画画成图）。桌面安装来源的\nFFmpeg / FFprobe 已随 App 进入 Product 受管目录；纯 CLI 安装仍要求系统\n`ffmpeg ≥ 6`。缺 Chrome 会明确报错，不要试图绕过——没有它就没有字幕层和动画层。\n\n先读取并执行 [业务 Skill 的阶段合同](../../references/business-workflow-contract.md)\n里的「结论等级」一节。**导出不进剪辑状态机**：它不改任何项目文件、不做 CAS 写入、\n不推进 stage，产出是一个新文件，重跑一次就覆盖。所以它不需要确认卡。\n\n## 0. 就绪\n\n先执行 [检查更新](../chengfeng-check-updates/SKILL.md) 的「就绪检查」——skills 是否\n最新、Runtime 是否配套；**插件根**也在那里定位（本文命令里的 `<插件根>` 都代入\n那个字面路径）。只有「就绪」才继续；「需新会话」或「停」按它的处置执行\n（含「禁止自制替代界面」禁令），业务 Skill 不自带环境逻辑。\n\n若就绪结果为 `runtime.kind=desktop-managed`，直接复用桌面 App 已安装的稳定 CLI、\n媒体工具与同一 `launchd/windows-task` 服务；不要解析 Electron 路径、另装\nFFmpeg/Bun 或起第二个 Runtime。\n\n## 命令\n\n```bash\nnode \"<插件根>/scripts/ensure-running.cjs\" --json\nnode \"<插件根>/scripts/videocut-cli.cjs\" export <project> --dry-run --json          # 先看计划，不编码\nnode \"<插件根>/scripts/videocut-cli.cjs\" export <project> --json                    # 出成片（默认 2 倍、源帧率）\nnode \"<插件根>/scripts/videocut-cli.cjs\" export <project> --out /path/成片.mp4 --json\nnode \"<插件根>/scripts/videocut-cli.cjs\" export <project> --scale 1 --json          # 只要源尺寸\nnode \"<插件根>/scripts/videocut-cli.cjs\" export <project> --keep-work --json        # 留下中间片和逐帧 PNG，供排查\n```\n\n`ensure-running` 身份不匹配、端口冲突或服务不健康时立即停止；不允许用 foreground\n临时顶替后继续导出。\n\n## 两步，别只跑第二步\n\n```text\n① --dry-run 先报计划    片长、帧数、字幕屏数、画面层数、推近段数、输出尺寸\n                       念给用户听。数字不对就是上游不对，编码十分钟不会修好它\n② 真跑                 assemble → overlay → compose → verify 四段进度\n```\n\n`--dry-run` 里的 `warnings` 必须原样转述。它只报一类事：**某些字幕屏或画面层的词\n已经被剪掉了**，所以它们不会出现在成片里。这是上游要决定的事，不是导出该替人吞掉的。\n\n## 清晰度：源片是天花板，先看源再谈放大\n\n导出前看一眼源分辨率（`--dry-run` 的 `source` 字段就有）：\n\n```text\n源宽 ≥2560（Retina 原生录屏）  → --scale 1，输出就是原生像素，这是最好的情况\n源宽 <1920（如 960×720）      → 先停一下：问用户有没有同一次录制的高清导出。\n                              录屏工具常常能把同一次录制重新导出成 3 倍分辨率，\n                              换源比任何后期都管用（见下节）。确实没有 → --scale 2\n```\n\n`--scale 2` 对低清源有用的原因：底片放大不会变清楚，但**字幕和动画是按输出尺寸\n重画的**——观众真正在读的就是这两样；平台再压一次时，大图分到的码率也更高。\n\n**不要为了「更清晰」去调 `--fps`。** 帧率跟着源片走；改它只会让动画的采样和录屏对不上。\n\n## 换源：用户拿出同一次录制的高清版时\n\n这不是导出流程的一部分——导出本身永远只读。换源是用户明确点头后的独立素材操作，\n做完再回来正常导出。\n\n**先判定是不是同一条**（前两条就足够硬）：\n\n```bash\nffprobe -v error -show_entries format=duration -of csv=p=0 <两个文件>   # 时长精确到毫秒相同\nffmpeg -v error -i <文件> -map 0:a:0 -c copy -f md5 -                  # 音频流逐位相同\n# 再抽两三帧对比画面内容，眼睛确认\n```\n\n**音频逐位相同 = 时间线相同**：逐词稿、账本、字幕、画面层全绑词 id，一个不用动。\n这正是「绑词不绑秒」在换源这件事上的兑现。\n\n**换源四步**（2026-07-29 真实走过一次；第 ③ 步当时漏了，剪辑预览当场报\n「生成失败」——指纹记录不止一处，grep 旧指纹找全再动手）：\n\n```text\n① 换文件      input/source.mp4 和 uploads/source.mp4 是硬链接对 ——\n              删两个，拷新文件到 input/，再建硬链接回 uploads/\n              （macOS 用 ln；Windows 用 New-Item -ItemType HardLink）\n② 更新指纹    project.json 的 source.sha256 改成新文件的\n③ 再查一处    workbench.json 的 sourceSha256 也记着源片指纹，\n              剪辑预览管道校验的恰恰是这本 —— 漏了它，预览拒绝生成\n              （这是产品的正确行为：指纹对不上宁可失败，不拿旧预览冒充）\n④ 重导        --scale 1 —— 换源就是为了原生像素，别再放大\n```\n\n保险做法：用你的搜索工具在 <项目目录> 的全部 *.json 里找旧指纹前 8 位，\n列出来的每一处都要处理（缓存记录如 preview-edited/current.json 会自动重算，不用手动改）。\n\n音频不同（重新录了一遍、剪过、时长不一样）就**不是换源**，是新项目：\n逐词稿要重新转，所有标注作废。别硬套。\n\n## 验收：三件事，缺一件就不算导出完成\n\n```text\n① 命令成功返回        产品自己数成片的尺寸、帧数、音轨，和计划逐项比。\n                     对不上就是 readback_mismatch 报错，文件留在盘上当证据，\n                     不算导出完成\n② 抽帧看像素          从成片里抽帧，用眼睛看。至少覆盖：一个推近段、\n                     一个整屏动画段、一个只有字幕的段、一个层与层的边界\n③ 人耳听感            没人真的听过，一律记 human listening UNVERIFIED\n```\n\n② 不许用预览截图代替。**预览和成片是两条渲染路径，验收要看的正是它们对不对得上**——\n拿预览的图当成片的证据，等于把要验的那件事当成了前提。\n\n**判推近要找判别性地标，整体印象会骗人**（2026-07-29 真踩过）：1.6 倍推近后的\n屏幕页面看起来仍像\"一整页\"，缩略图上和全景几乎没差别——曾把正确的推近帧误判成\n\"推近丢了\"，白追半小时、重导两次。正确判法是找**只有裁剪才能造成的证据**：\n被裁掉一半的元素（气泡从中间断开）、消失的边缘元素（侧栏、标题栏）。\n和源片同刻帧对比一眼定案。\n\n抽帧就用 ffmpeg：\n\n```bash\nffmpeg -v error -ss 8.84 -i 成片.mp4 -frames:v 1 -y frame.png\n```\n\n## 出问题往哪查\n\n`--keep-work` 会在项目的 `.chengfeng-videocut/export/` 下留三样东西，\n它们把「哪一半错了」直接分开：\n\n```text\nassembled.mkv    只有剪辑，没有任何盖的东西。它错 = 账本或切片错\noverlay/*.png    只有盖的东西，透明底。它错 = 字幕样式或模块错\nspans/*.mp4      合成后的分段。它错 = 推近或对齐错\n```\n\n对照表：\n\n```text\n成片没有字幕/动画       overlay PNG 是不是全透明？模块是不是没答应 seek？\n动画停在第一帧          模块没实现 seek，或者 GSAP 时间线没 paused\n画面整块白             模块少了 `:root { color-scheme: dark }`\n推近的框歪了            模块的 viewBox 和层的 zoom 不是同一组数\n成片比计划短            某个 span 帧数不够，看 compose 阶段的报错\n层边界闪一小段原片      overlay 截图陈旧（帧标记验证失效）。产品靠页面顶部的\n                      帧标记条自证每张截图属于哪一帧；若复发，先确认 overlay\n                      PNG 顶部有标记条、compose 有裁掉它的 crop\n找不到 Chrome          装 Google Chrome，别改成别的渲染路径\n```\n\n## 不许做什么\n\n- 不许把「导出成功」说成「验收通过」——命令返回成功只是产品自己对得上，不是画面对\n- 不许用预览截图、DOM、日志代替成片抽帧\n- 不许没人听过就报 human listening PASS\n- 不许为了让导出跑通去改项目文件（改字幕、删层、动账本）。导出只读，不写\n- 不许在导出里补做上游的活：缺字幕就去写字幕，缺画面就去做画面，别在这一段临时糊一个\n","tagline":"把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。","category":"design-creative","tags":["agent-skill"],"author":"Agentchengfeng","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"Agentchengfeng/chengfeng-videocut-skills","creatorName":"Agentchengfeng","creatorUrl":"https://github.com/Agentchengfeng","sourceUrl":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":2956,"forks":383,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":47.4},"quality":{"score":82,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"3.0K","tone":"positive"},{"label":"Freshness","value":"17d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":77,"base_score":82,"outcome_confidence":0,"tier":"strong","label":"Review then install","summary":"Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.","recommendedAction":"Use as the primary candidate after human or sandbox 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surface"},{"status":"pass","label":"Install availability","detail":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review 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reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Quality score needs 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sandbox validation is required before automatic installation."},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":58,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","58/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Quality score needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["High-risk permission hints: Shell or command execution","58/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":78,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","Quality score needs review"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate chengfeng-export before installing it in an agent workflow","design-creative","Workflow automation workflows; 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Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"chengfeng-export\" as a Claude Code skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"chengfeng-export\" from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/agentchengfeng-chengfeng-export"},"trust":{"score":82,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"3.0K GitHub stars","repoActivity":"3.0K stars, 383 forks","lastPushed":"17d since push","license":"Apache-2.0","repository":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export","install":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":86,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":82,"label":"Strong"},"supply":{"track":"Design and creative production","scenario":"Design and creative","maintenance":"17d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"agent_contract":{"task_input":"Use chengfeng-export in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 82/100 Strong shortlist","Audit: 86/100 Safe to try","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"agentchengfeng-chengfeng-export (chengfeng-export)","install_command":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","risk_summary":"Safe to try; Reviewed with permission notes; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"agentchengfeng-chengfeng-export","task":"Use chengfeng-export in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export","api":"https://www.openagentskill.com/api/agent/skills/agentchengfeng-chengfeng-export","audit":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=agentchengfeng-chengfeng-export&task=Use%20chengfeng-export%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install","manifest":"https://www.openagentskill.com/api/registry/manifest/agentchengfeng-chengfeng-export"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"agentchengfeng-chengfeng-export","name":"chengfeng-export","description":"把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。","category":"design-creative","url":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export","repository":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export","github_repo":"Agentchengfeng/chengfeng-videocut-skills"},"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Inspect visual requirements","Generate reusable assets"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add agentchengfeng-chengfeng-export"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"chengfeng-export\" agent skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"chengfeng-export\" as a Claude Code skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"chengfeng-export\" from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/agentchengfeng-chengfeng-export"},"trust":{"score":82,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"3.0K GitHub stars","repoActivity":"3.0K stars, 383 forks","lastPushed":"17d since push","license":"Apache-2.0","repository":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export","install":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":86,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":82,"label":"Strong"},"supply":{"track":"Design and creative production","scenario":"Design and creative","maintenance":"17d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"agent_contract":{"task_input":"Use chengfeng-export in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 82/100 Strong shortlist","Audit: 86/100 Safe to try","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"agentchengfeng-chengfeng-export (chengfeng-export)","install_command":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","risk_summary":"Safe to try; Reviewed with permission notes; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"agentchengfeng-chengfeng-export","task":"Use chengfeng-export in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export","api":"https://www.openagentskill.com/api/agent/skills/agentchengfeng-chengfeng-export","audit":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=agentchengfeng-chengfeng-export&task=Use%20chengfeng-export%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20chengfeng-export%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/agentchengfeng-chengfeng-export/install","manifest":"https://www.openagentskill.com/api/registry/manifest/agentchengfeng-chengfeng-export"}},"supply_profile":{"track":{"slug":"design","label":"Design and creative production","shortLabel":"Design","description":"Design assets, images, video, audio, multimodal media, presentation, and creative production skills."},"scenario":{"label":"Design and creative","description":"I need my agent to produce design assets, UI directions, presentations, or creative media workflows.","useCases":[{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"design-creative","title":"Design and creative"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":2956,"starsLabel":"3.0K","forks":383,"license":"Apache-2.0","qualityScore":82,"trustScore":82,"auditScore":86},"maintenance":{"status":"fresh","label":"17d since push","daysSincePush":17,"lastPushedAt":"2026-08-21T17:33:16+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Quality score needs review"]},"coverageTags":["Design","Design and creative","design-creative","agent-skill"]},"audit":{"audit_score":86,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":82,"trust_score":82,"maintenance_score":100,"security_score":84,"install_score":92,"warnings":["Quality score needs review"]},"quality_signals":{"model":"v2","star_score":24.3,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"web-scraping","title":"Web scraping","url":"https://www.openagentskill.com/use-cases/web-scraping"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"}],"install":"npx skills add Agentchengfeng/chengfeng-videocut-skills --skill chengfeng-export","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add agentchengfeng-chengfeng-export","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"chengfeng-export\" agent skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"chengfeng-export\" as a Claude Code skill from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"chengfeng-export\" from https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 把剪好的口播烧成一个成片文件：账本切片段、推近、字幕、HTML 画面层，一次全部烧进 mp4。用户说导出、出成片、烧字幕、渲染、导出视频、生成最终文件时使用。不要用于生成删词候选、写字幕、做画面动画。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"agentchengfeng-chengfeng-export\",\"task\":\"Install chengfeng-export\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export","github_repo":"Agentchengfeng/chengfeng-videocut-skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/agentchengfeng-chengfeng-export","repository":"https://github.com/Agentchengfeng/chengfeng-videocut-skills/tree/main/plugins/chengfeng-videocut/skills/chengfeng-export","api":"/api/agent/skills/agentchengfeng-chengfeng-export","install_api":"/api/skills/agentchengfeng-chengfeng-export/install"},"meta":{"created_at":"2026-09-02T00:03:29.836793+00:00","updated_at":"2026-09-02T00:03:30.020216+00:00","agent_friendly":true}}