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Compressor Ios

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install compressor-ios
功能描述
Get compressed MP4 files ready to post, without touching a single slider. Upload your video files (MOV, MP4, M4V, AVI, up to 500MB), say something like "comp...
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.

Compressor iOS — Compress iOS Videos to MP4

Drop your video files in the chat and tell me what you need. I'll handle the AI video compression on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 200MB iPhone MOV recording, ask for compress this video to under 50MB without losing quality, and about 30-90 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — MOV files from iPhone compress especially well — expect 60-80% size reduction.

Matching Input to Actions

User prompts referencing compressor ios, 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 compressor-ios
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 "compress this video to under 50MB without losing quality" — concrete instructions get better results.

Max file size is 500MB. Stick to MOV, MP4, M4V, AVI for the smoothest experience.

H.264 codec gives the best balance of quality and size.

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.

安全使用建议
Use this skill if you are comfortable sending your videos and related prompts to the NemoVideo cloud service and allowing it to use a NemoVideo token/session for compression and export. Avoid uploading highly private media unless you trust the service and understand how download links and backend sessions are handled.
功能分析
Type: OpenClaw Skill Name: compressor-ios Version: 1.0.0 The compressor-ios skill is a cloud-based video processing tool that facilitates MP4 compression via the nemovideo.ai API. The SKILL.md provides transparent instructions for authentication (including an anonymous token fallback), file uploading, and session management. All network activity is directed to the stated backend (mega-api-prod.nemovideo.ai), and the skill does not attempt to access sensitive local data (e.g., SSH keys, AWS credentials) or execute unauthorized system commands. The behavior is entirely consistent with its stated purpose as a video compression utility.
能力评估
Purpose & Capability
The stated purpose is cloud-based MP4/video compression and the visible instructions fit that purpose, though the skill also documents broader edit/export handling and additional media formats, so users should keep requests within the intended workflow.
Instruction Scope
The skill instructs the agent to create a backend session, upload files or URLs, process SSE responses, and trigger export workflows. This is disclosed and purpose-aligned, but users may not see every backend-directed API step.
Install Mechanism
There is no install spec and no local code, which reduces local execution risk. The registry source is unknown and there is no homepage, so provenance of the service/operator is limited.
Credentials
Use of NEMO_TOKEN or an anonymous starter token is proportionate for a cloud API integration, but it is still account/session authority for the NemoVideo backend.
Persistence & Privilege
The skill uses remote session IDs, backend state, render job IDs, and download URLs. No local persistence, privileged install, or background worker is shown in the provided artifacts.
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 compressor-ios
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /compressor-ios 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 — compress iOS videos to MP4 quickly and easily. - Upload MOV, MP4, M4V, or AVI (up to 500MB) for fast AI compression and 1080p MP4 export. - No manual sliders; control via simple chat prompts like “compress this to under 50MB.” - Automatic session and token management for hassle-free cloud-based processing. - Real-time job updates and error handling, with simple status messages. - Supports batch uploads, stateful editing, and direct download of compressed videos.
元数据
Slug compressor-ios
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

Compressor Ios 是什么?

Get compressed MP4 files ready to post, without touching a single slider. Upload your video files (MOV, MP4, M4V, AVI, up to 500MB), say something like "comp... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 61 次。

如何安装 Compressor Ios?

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

Compressor Ios 是免费的吗?

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

Compressor Ios 支持哪些平台?

Compressor Ios 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 Compressor Ios?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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