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Ai Video Editor No Limit

作者 dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-video-editor-no-limit
功能描述
Skip the learning curve of professional editing software. Describe what you want — cut dead air, add transitions, and export with no watermark — and get unli...
使用说明 (SKILL.md)

Getting Started

Send me your raw video footage and I'll handle the unlimited AI editing. Or just describe what you're after.

Try saying:

  • "edit a 10-minute unedited screen recording into a 1080p MP4"
  • "cut dead air, add transitions, and export with no watermark"
  • "editing and exporting videos without usage caps or watermarks for content creators and marketers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Video Editor No Limit — Edit and Export Videos Without Restrictions

This tool takes your raw video footage and runs unlimited AI editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 10-minute unedited screen recording and want to cut dead air, add transitions, and export with no watermark — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: breaking long videos into segments before uploading can speed up processing.

Matching Input to Actions

User prompts referencing ai video editor no limit, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-video-editor-no-limit, 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).

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

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)

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

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.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Common Workflows

Quick edit: Upload → "cut dead air, add transitions, and export with no watermark" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut dead air, add transitions, and export with no watermark" — 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.

安全使用建议
This skill will upload whatever videos you give it to a third-party domain (mega-api-prod.nemovideo.ai). That is necessary for a cloud editor but is a privacy risk—do not upload sensitive footage until you verify the provider. There is no homepage or verifiable source listed, and the SKILL.md includes a local config path (~/.config/nemovideo/) that the registry metadata did not declare; that mismatch suggests the skill might read local config files. Before installing, verify the provider and domain independently (search for nemovideo.ai, the API host, and the owner), avoid putting existing secret tokens into the skill unless you trust the service, and prefer skills from a documented homepage or known publisher. If you proceed, consider using an anonymous/limited token (as the instructions allow) and do not give the skill high-value credentials. If you want higher assurance, ask the publisher for a homepage, source repo, or clarification about which local paths the skill will read.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-no-limit Version: 1.0.0 The skill is a legitimate integration for an AI video editing service hosted at mega-api-prod.nemovideo.ai. It implements standard API workflows for session management, video uploading, and cloud rendering, including a fallback mechanism for anonymous authentication. The instructions in SKILL.md are well-structured for an AI agent, including security-conscious directives such as suppressing the output of raw tokens and JSON to the user interface.
能力评估
Purpose & Capability
The skill's stated purpose (cloud AI video editing) matches the runtime instructions (uploading footage, creating sessions, rendering/exporting). Required credential (NEMO_TOKEN) is consistent with calling the service. However, SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this mismatch is unexplained and may imply the skill expects local config access that wasn't declared.
Instruction Scope
Instructions direct the agent to upload user video files and send them to https://mega-api-prod.nemovideo.ai and to obtain/store session tokens. Uploading user content to a third-party service is expected for this functionality but is a privacy/data-exfiltration risk. The instructions also mention detecting install path to populate an attribution header and the frontmatter references a local config path — both imply the agent may read filesystem locations (e.g., ~/.clawhub, ~/.cursor, ~/.config/nemovideo/) which is broader scope than simply accepting a file to upload.
Install Mechanism
This is an instruction-only skill with no install spec and no code files; nothing is written to disk by an installer. That minimizes install-time risk, but it also means the scanner had no code to analyze.
Credentials
Only one credential is declared (NEMO_TOKEN) which is proportionate for a cloud API. The skill also documents generating an anonymous token if none is present. The concern is the undeclared config path in the SKILL.md frontmatter which could expose additional local credentials/config if used; registry metadata did not declare that path.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It expects to keep a session_id for active work, which is normal. No install or persistent modifications are specified.
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-video-editor-no-limit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-no-limit 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 Video Editor No Limit 1.0.0 — Initial Release - Instantly edit and export unlimited videos with no watermarks or usage caps. - Upload MP4, MOV, AVI, or WebM files up to 500MB; full AI-powered editing in 1–2 minutes. - Automated cloud rendering pipeline with simple, natural language video editing requests. - Session-based workflow supports iterative editing, batch exports, and timeline previews. - Transparent handling of credits, errors, and export limitations. - Designed for content creators and marketers seeking unrestricted AI video editing.
元数据
Slug ai-video-editor-no-limit
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 Video Editor No Limit 是什么?

Skip the learning curve of professional editing software. Describe what you want — cut dead air, add transitions, and export with no watermark — and get unli... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 68 次。

如何安装 Ai Video Editor No Limit?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-video-editor-no-limit」即可一键安装,无需额外配置。

Ai Video Editor No Limit 是免费的吗?

是的,Ai Video Editor No Limit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Video Editor No Limit 支持哪些平台?

Ai Video Editor No Limit 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 Video Editor No Limit?

由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。

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