功能描述

Skip the learning curve of professional editing software. Describe what you want — compress this video to under 50MB without losing quality — and get compres...

使用说明 (SKILL.md)

Getting Started

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

Try saying:

"compress my video files"
"export 1080p MP4"
"compress this video to under 50MB"

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.

AI Video Compressor — Compress and Export Smaller Videos

Name: Ai Video Compressor
Author: mhogan2013-9

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

A quick example: upload a 500MB 10-minute MP4 recording, type "compress this video to under 50MB without losing quality", and you'll get a 1080p MP4 back in roughly 30-90 seconds. All rendering happens server-side.

Worth noting: shorter clips compress faster and give you more control over quality trade-offs.

Matching Input to Actions

User prompts referencing ai video compressor, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint	Method	Purpose
`/api/tasks/me/with-session/nemo_agent`	POST	Start a new editing session. Body: `{"task_name":"project","language":"\x3Clang>"}`. Returns `session_id`.
`/run_sse`	POST	Send a user message. Body includes `app_name`, `session_id`, `new_message`. Stream response with `Accept: text/event-stream`. Timeout: 15 min.
`/api/upload-video/nemo_agent/me/\x3Csid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits (`available`, `frozen`, `total`).
`/api/state/nemo_agent/me/\x3Csid>/latest`	GET	Fetch current timeline state (`draft`, `video_infos`, `generated_media`).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}`. Poll status every 30s.

Accepted file types: 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-compressor, 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).

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.

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

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 JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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

Common Workflows

Quick edit: Upload → "compress this video to under 50MB without losing quality" → Download MP4. Takes 30-90 seconds 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 "compress this video to under 50MB without losing quality" — concrete instructions get better results.

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

H.264 codec gives the best balance of quality and file size for compressed output.

安全使用建议

This skill appears to do what it says: it will upload videos to the remote nemo-video service and use NEMO_TOKEN (or obtain a short-lived anonymous token) to run GPU-based compression. Before installing or using it, consider: 1) Privacy: your videos are transmitted to an external service (mega-api-prod.nemovideo.ai). Don’t upload sensitive content you wouldn’t want sent off-host. 2) Credentials: the skill only requires NEMO_TOKEN; if you have a long-lived token for other uses, avoid exposing it here or inspect how you provide it. If no token exists, the skill will request an anonymous token from the vendor (100 free credits, 7 days) using a generated client ID. 3) Local config: metadata references ~/.config/nemovideo/ and checks install paths to set X-Skill-Platform — the agent may inspect its environment/install path; this is low risk but be aware. 4) Autonomous invocation: the skill can be invoked by the agent during a session (normal behavior); if you want to restrict automatic calls, control skill usage in your agent settings. If you need higher assurance, ask the publisher for a privacy/TOU link or request an audited endpoint and avoid uploading sensitive material until you verify the vendor.

功能分析

Type: OpenClaw Skill Name: ai-video-compressor Version: 1.0.0 The skill facilitates video compression by uploading user-provided media to a remote service (mega-api-prod.nemovideo.ai). While this aligns with its stated purpose, it involves high-risk capabilities including network access and the transmission of local files to a third-party endpoint. Additionally, SKILL.md instructs the agent to perform environment discovery by checking its installation path to identify and report the host platform (e.g., Cursor or Clawhub) via custom headers, and it requests access to the local filesystem at ~/.config/nemovideo/.

能力评估

✓ Purpose & Capability

Name and description describe remote video compression. The only declared credential is NEMO_TOKEN, which is appropriate for calling the nemo-video backend API described in SKILL.md. No unrelated credentials, binaries, or installers are requested.

ℹ Instruction Scope

The SKILL.md instructs the agent to read NEMO_TOKEN from the environment (declared), create an anonymous token via the vendor endpoint if absent, create sessions, upload user video files, stream SSE responses, and poll render status — all expected for a remote compression service. It also instructs deriving X-Skill-Platform from the install path (e.g., ~/.clawhub/ or ~/.cursor/skills/), which implies the agent may inspect its runtime/install path; this is minor but worth noting.

✓ Install Mechanism

There is no install spec and no code files — instruction-only — so nothing is downloaded or written to disk by the skill itself. This is the lower-risk case.

✓ Credentials

Only NEMO_TOKEN is required (declared as primaryEnv). The skill describes an anonymous-token fallback it will request from the vendor if no token is present. No unrelated secrets or system credentials are requested.

ℹ Persistence & Privilege

The skill is not set to always:true and is user-invocable. Metadata includes a config path (~/.config/nemovideo/) which may indicate where the vendor or the agent could store tokens/config; SKILL.md does not explicitly instruct writing to that path, but the presence of that config path suggests possible local config usage — a minor persistence signal to be aware of.

版本历史

v1.0.0

AI Video Compressor — v1.0.0 - Initial release. - Compress and export videos with simple natural language instructions. - Supports MP4, MOV, AVI, and WebM video uploads up to 500MB. - Automatic backend connection and session management. - Exports 1080p MP4 files in 30–90 seconds via remote GPU nodes. - Includes balance checks, file upload, export, and state/status retrieval.

元数据

Slug ai-video-compressor

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 Compressor 是什么？

Skip the learning curve of professional editing software. Describe what you want — compress this video to under 50MB without losing quality — and get compres... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 104 次。

如何安装 Ai Video Compressor？

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

Ai Video Compressor 是免费的吗？

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

Ai Video Compressor 支持哪些平台？

Ai Video Compressor 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 Compressor？

由 mhogan2013-9（@mhogan2013-9）开发并维护，当前版本 v1.0.0。

Ai Video Compressor