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whitejohnk-26

Ai Tool For Video Editing

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-tool-for-video-editing
功能描述
Get edited video clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "trim the pauses, add transitions, and"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

AI Tool for Video Editing — Edit and Export Polished Videos

Send me your raw video footage and describe the result you want. The AI video editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute unedited phone recording, type "trim the pauses, add transitions, and sync background music", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter clips under 60 seconds process significantly faster.

Matching Input to Actions

User prompts referencing ai tool for video editing, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source ai-tool-for-video-editing
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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.

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

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

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)

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the pauses, add transitions, and sync background music" — 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 across platforms.

Common Workflows

Quick edit: Upload → "trim the pauses, add transitions, and sync background music" → 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 appears to be a straightforward cloud video-editing frontend, but there are small mismatches you should clarify before installing: (1) Confirm why the manifest lists a config path (~/.config/nemovideo/) when the registry said none are required — will the skill read local config files? (2) The skill declares NEMO_TOKEN as required but also documents an anonymous-token flow; ask whether providing your own token gives elevated access vs anonymous tokens. (3) The skill will upload your raw video to https://mega-api-prod.nemovideo.ai — verify the service’s privacy policy and retention/deletion rules before uploading sensitive content. (4) Ask the publisher/source for provenance (the registry lists an opaque owner id and no homepage). If you proceed, test with non-sensitive, small videos first and avoid supplying unrelated credentials or secrets. If these questions are unanswered, treat the skill as higher risk and avoid installing it in sensitive environments.
功能分析
Type: OpenClaw Skill Name: ai-tool-for-video-editing Version: 1.0.0 The skill is a legitimate integration for an AI-powered video editing service hosted at mega-api-prod.nemovideo.ai. It provides instructions for an AI agent to manage sessions, upload media, and trigger cloud-based rendering. While it requests environment variables (NEMO_TOKEN) and performs platform detection for API attribution, these actions are consistent with its stated purpose of providing a cloud-based video editing tool and do not show signs of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The name/description match the instructions: the skill uploads video files and uses a remote API to render edits. Requesting a single service token (NEMO_TOKEN) is proportionate to a cloud rendering service. Minor mismatch: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) that the registry metadata said was not required.
Instruction Scope
Runtime instructions are focused on the remote API (session creation, SSE, uploads, exports) and on handling user-uploaded files — appropriate for an editing tool. Two points to note: (1) the skill instructs the agent to 'auto-detect' an install path to set X-Skill-Platform, which is odd for an instruction-only skill with no install spec; (2) the frontmatter mentions a config path although the SKILL.md does not clearly state when/if that path should be read. Both are scope-ambiguities worth clarifying.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install mechanism; nothing will be downloaded or written by an installer.
Credentials
The skill declares a single primary credential (NEMO_TOKEN), which is reasonable for the described cloud API. However, the SKILL.md also documents an anonymous-token flow that generates a token if none is present, making the 'required' env var claim inconsistent. The frontmatter's config path raises the possibility of reading user config files; the registry earlier reported no required config paths. These inconsistencies about when/why environment or config access is needed are disproportionate to the stated purpose and should be clarified.
Persistence & Privilege
The skill is not marked always:true and does not request elevated/system-wide persistence. It relies on remote sessions and short-lived tokens; no privilege escalation or permanent presence is requested by the manifest.
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 ai-tool-for-video-editing
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-tool-for-video-editing 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
AI Tool for Video Editing — Version 1.0.0 - Initial release offering AI-driven video editing and export using cloud GPU nodes. - Supports uploading raw video footage (MP4, MOV, AVI, WebM, up to 500MB) and natural language instructions for editing. - Provides automatic session/token management with 100 free credits for new users. - Handles edit requests, exports polished 1080p MP4s, checks balance/status, and more. - Integrates error handling for common issues (file size/format, credits, tokens). - Designed for fast, professional video edits with minimal setup required.
元数据
Slug ai-tool-for-video-editing
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

Ai Tool For Video Editing 是什么?

Get edited video clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 92 次。

如何安装 Ai Tool For Video Editing?

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

Ai Tool For Video Editing 是免费的吗?

是的,Ai Tool For Video Editing 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Tool For Video Editing 支持哪些平台?

Ai Tool For Video Editing 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 Ai Tool For Video Editing?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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