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vcarolxhberger

Instagram Editor Ai

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install instagram-editor-ai
功能描述
Cloud-based instagram-editor-ai tool that handles editing and formatting videos for Instagram Reels and Stories. Upload MP4, MOV, AVI, WebM files (up to 500M...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my video clips"
  • "export 1080p MP4"
  • "crop to 9:16, add trending captions,"

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.

Instagram Editor AI — Edit and Export Instagram Videos

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

Here's a typical use: you send a a 60-second vertical phone recording, ask for crop to 9:16, add trending captions, and cut to 30 seconds for a Reel, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — vertical 9:16 video works best for Reels and Stories output.

Matching Input to Actions

User prompts referencing instagram editor ai, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is instagram-editor-ai, 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.

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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the 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

Common Workflows

Quick edit: Upload → "crop to 9:16, add trending captions, and cut to 30 seconds for a Reel" → Download MP4. Takes 30-60 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 "crop to 9:16, add trending captions, and cut to 30 seconds for a Reel" — concrete instructions get better results.

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

Export as MP4 with H.264 codec for best Instagram upload compatibility.

安全使用建议
This skill appears to do what it says (cloud video editing) but note three practical concerns: 1) it will upload whatever video files you give it to an external endpoint (mega-api-prod.nemovideo.ai) — do not upload sensitive video or audio you wouldn't want transmitted; 2) it will use whichever NEMO_TOKEN is available (or obtain an anonymous token) — treat that token as a secret and consider using a throwaway/limited token if possible; 3) the instructions explicitly describe probing local install/config paths (~/.clawhub/, ~/.cursor/skills/, ~/.config/nemovideo/) to set headers, which is unnecessary for core editing and increases privacy exposure. The skill has no source code or install spec to review and its origin is unknown. If you decide to proceed: prefer anonymous tokens, avoid uploading sensitive content, and don’t grant persistent credentials or place your primary secrets in NEMO_TOKEN unless you trust nemovideo.ai and the skill author.
功能分析
Type: OpenClaw Skill Name: instagram-editor-ai Version: 1.0.0 The skill bundle provides instructions for an AI agent to interface with the NemoVideo cloud API for video editing tasks. It includes logic for automated session management, anonymous token acquisition, and mapping user intent to specific API endpoints (SSE, upload, and export). While the instructions direct the agent to check local configuration paths (e.g., `~/.config/nemovideo/`) and identify the host platform (e.g., `~/.clawhub/`), these actions are transparently documented for configuration and attribution purposes (via `X-Skill-Platform` headers) and do not exhibit signs of unauthorized data exfiltration or malicious execution.
能力评估
Purpose & Capability
Name/description (cloud Instagram video editing) align with the actions in SKILL.md: uploading video files and requesting render/export from https://mega-api-prod.nemovideo.ai using an API token (NEMO_TOKEN). Requiring a service token and upload endpoints is expected for this purpose.
Instruction Scope
Instructions include expected behaviors (uploading files, SSE, polling render status) but also say the agent should detect an install path (~/.clawhub/ or ~/.cursor/skills/) to set an attribution header and reference a config path (~/.config/nemovideo/). Probing those filesystem locations is unrelated to editing content and grants the skill the ability to read local config/install state; this is scope creep and worth flagging. The skill will also instruct the agent to read local file paths when uploading user-supplied videos (expected) and to store session IDs (unspecified where).
Install Mechanism
Instruction-only skill with no install spec or bundled code — lowest install risk. Nothing is downloaded or written by a declared installer in the metadata, though the skill may create or use per-session data during runtime.
Credentials
Only a single credential (NEMO_TOKEN) is required and it's the primary credential used for authorization to the remote service, which is proportionate. However, granting any token will allow the skill to send that secret to the external API (nemovideo.ai). Metadata also declares a config path, implying potential local config access beyond the single env var.
Persistence & Privilege
Skill is not always:true and does not request broad platform privileges. It instructs saving session_id and references a config directory, but does not declare forced persistence. Autonomous invocation is allowed (platform default) but not a standalone red flag here.
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 instagram-editor-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /instagram-editor-ai 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
Instagram Editor AI 1.0.0 — Initial Release - Launch of cloud-based Instagram video editor for Reels and Stories. - Supports upload of MP4, MOV, AVI, WebM files (up to 500MB) with fast 1080p MP4 exports. - Simple instructions: describe edits you want (crop, captions, duration, etc.) and get a ready-to-upload result in 30-60 seconds. - Automatic session setup and free token generation for first-time users. - Easy workflow for uploading, editing, exporting, and checking credits or status, all from chat. - Seamless batch editing and timeline previews for Instagram creators.
元数据
Slug instagram-editor-ai
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

Instagram Editor Ai 是什么?

Cloud-based instagram-editor-ai tool that handles editing and formatting videos for Instagram Reels and Stories. Upload MP4, MOV, AVI, WebM files (up to 500M... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 84 次。

如何安装 Instagram Editor Ai?

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

Instagram Editor Ai 是免费的吗?

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

Instagram Editor Ai 支持哪些平台?

Instagram Editor Ai 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 Instagram Editor Ai?

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

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