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mory128

Generator Youtube

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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在 OpenClaw 中安装
/install generator-youtube
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a YouTube-ready video with intro, cuts, and outro from my raw foo...
使用说明 (SKILL.md)

Getting Started

Share your video clips and I'll get started on YouTube video generation. Or just tell me what you're thinking.

Try saying:

  • "generate my video clips"
  • "export 1080p MP4"
  • "generate a YouTube-ready video with intro,"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Generator YouTube — Generate Upload-Ready YouTube Videos

This tool takes your video clips and runs YouTube video generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 10-minute raw screen recording and want to generate a YouTube-ready video with intro, cuts, and outro from my raw footage — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: trimming your clip to the key moments before uploading speeds up generation significantly.

Matching Input to Actions

User prompts referencing generator youtube, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is generator-youtube, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a YouTube-ready video with intro, cuts, and outro from my raw footage" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility with YouTube's upload requirements.

Common Workflows

Quick edit: Upload → "generate a YouTube-ready video with intro, cuts, and outro from my raw footage" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
This skill largely behaves like a cloud video-renderer and only needs a NEMO_TOKEN to work, which is reasonable. Before installing or enabling it: (1) Ask the author why the SKILL.md declares a local config path (~/.config/nemovideo/) and why the skill needs to detect install directories — those require filesystem reads and aren't necessary for uploading files to the service. (2) Only provide NEMO_TOKEN if you trust the nenovideo service; prefer a scoped or anonymous token if available. (3) If you are uncomfortable with filesystem probing, decline or request a version that omits detection of ~/.clawhub/ or ~/.cursor/ and does not read other local config directories. (4) Consider running first in a sandboxed agent or with network monitoring to confirm it only talks to the documented API host (mega-api-prod.nemovideo.ai) and does not access unexpected endpoints. Clarification from the developer about the configPath/install-path checks would likely move this to 'benign'; absent that, treat it cautiously.
功能分析
Type: OpenClaw Skill Name: generator-youtube Version: 1.0.0 The skill is a functional wrapper for a cloud-based video editing service (nemovideo.ai). It provides detailed instructions for an AI agent to manage API sessions, upload media, and poll for rendered video results. While it involves network communication with 'mega-api-prod.nemovideo.ai' and handles user-provided video files, these actions are strictly aligned with its stated purpose. There is no evidence of data exfiltration, malicious execution, or deceptive prompt injection.
能力评估
Purpose & Capability
The skill is described as a cloud-based YouTube video generator and it requests a single service credential (NEMO_TOKEN), which is proportionate. However the SKILL.md frontmatter declares a configPaths entry (~/.config/nemovideo/) that is not reflected in the registry metadata (which lists no required config paths). This mismatch is unexplained and worth clarifying.
Instruction Scope
Runtime instructions correctly describe API flows (obtain token, create session, upload files, poll render status). But the instructions also tell the agent to derive request headers from the SKILL.md frontmatter and to detect the 'install path' (checking ~/.clawhub/, ~/.cursor/skills/, etc.) to populate X-Skill-Platform. Detecting install paths and reading local config directories requires filesystem access outside the declared requirements and is not necessary for basic upload/render flows — this is scope creep and a privacy/visibility risk.
Install Mechanism
There is no install spec and no code files; this is instruction-only, so nothing is written to disk by an installer. That's the lowest install-risk model.
Credentials
Declared required environment variable is just NEMO_TOKEN (reasonable for a service integration). But the SKILL.md also references reading a local config path (~/.config/nemovideo/) and probing install directories to derive headers; those accesses were not declared in the registry metadata and broaden the skill's scope to local files. That increases the amount of local data the skill may touch without justification.
Persistence & Privilege
The skill is not marked always:true and has no install hooks. It can be invoked autonomously per platform defaults, which is normal. It does not request permanent presence or modifications to other skills/configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install generator-youtube
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /generator-youtube 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of generator-youtube — create upload-ready YouTube videos from your footage in minutes. - Upload MP4, MOV, AVI, or WebM files (up to 500MB) and autogenerate YouTube-ready videos with intros, cuts, and outros. - Supports seamless backend connection: uses NEMO_TOKEN if available, otherwise fetches a free starter token. - Provides quick API-powered workflows: export, check credits, upload, and timeline state. - Fast cloud rendering pipeline returns results in 1–2 minutes; supports polling and live status updates. - Easy command style: just describe your editing needs, and the tool handles everything else.
元数据
Slug generator-youtube
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Generator Youtube 是什么?

Skip the learning curve of professional editing software. Describe what you want — generate a YouTube-ready video with intro, cuts, and outro from my raw foo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 64 次。

如何安装 Generator Youtube?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install generator-youtube」即可一键安装,无需额外配置。

Generator Youtube 是免费的吗?

是的,Generator Youtube 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Generator Youtube 支持哪些平台?

Generator Youtube 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Generator Youtube?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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