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Editor Inshot

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install editor-inshot
功能描述
Turn a 60-second smartphone clip into 1080p edited video clips just by typing what you need. Whether it's editing short videos for social media with cuts, mu...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my video clips"
  • "export 1080p MP4"
  • "trim the video, add music, and"

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.

Editor InShot — Edit and Export Social Videos

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

Say you have a 60-second smartphone clip and want to trim the video, add music, and apply transitions between clips — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: vertical 9:16 video works perfectly for Reels and TikTok exports.

Matching Input to Actions

User prompts referencing editor inshot, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: editor-inshot
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else 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.

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)

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

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

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 → "trim the video, add music, and apply transitions between clips" → 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 "trim the video, add music, and apply transitions between clips" — 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 all social platforms.

安全使用建议
This skill looks like a legitimate cloud video editor: it asks for one service token (NEMO_TOKEN) and otherwise runs as an instruction-only skill that calls nemovideo.ai endpoints. Before installing: (1) Confirm you trust the nemo backend domain and are OK with the skill making outbound requests (it will fetch an anonymous token if you don't provide NEMO_TOKEN). (2) If you care about privacy, note the skill will send X-Skill-Platform and other attribution headers which are derived by checking a couple of common install paths and the skill's frontmatter; consider setting NEMO_TOKEN yourself rather than letting the skill auto-request an anonymous token. (3) Ask the publisher to clarify the registry/frontmatter mismatch about config paths (~/.config/nemovideo/) if you want to be strict about declared requirements. (4) Do not upload sensitive or private videos to the service unless you have verified its privacy/retention policies.
功能分析
Type: OpenClaw Skill Name: editor-inshot Version: 1.0.0 The skill provides a legitimate interface for a cloud-based video editing service hosted at nemovideo.ai. It defines standard procedures for authentication, session management, file uploads, and video processing via Server-Sent Events (SSE). The requested permissions (environment variables and specific config paths) and network activities are strictly aligned with the stated purpose of video editing and export, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The name/description (AI cloud video editor) aligns with the runtime instructions: session creation, upload, render/export endpoints, and requiring a service token (NEMO_TOKEN). Requiring a token and calling nemovideo.ai endpoints is proportionate to the stated purpose.
Instruction Scope
The SKILL.md stays mostly within the editing scope (create session, upload media, SSE for edits, poll render status). It instructs the agent to read this file's YAML frontmatter and to detect install path (~/.clawhub/, ~/.cursor/skills/) to populate an X-Skill-Platform header; this involves peeking at a couple of filesystem locations (its own frontmatter and common install paths) which is reasonable for attribution but is a privacy-relevant action. It also automatically fetches an anonymous token from mega-api-prod.nemovideo.ai if NEMO_TOKEN is not present, which will produce outbound network activity and transmit a generated UUID as X-Client-Id.
Install Mechanism
No install spec and no code files — instruction-only. This is low-risk from a code-install perspective because nothing is downloaded or written by an install step.
Credentials
Only NEMO_TOKEN is declared as required, which matches the service. The skill will also generate and send an anonymous token if NEMO_TOKEN is absent. One oddity: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) in metadata, but the registry metadata reported earlier listed no required config paths — this mismatch is inconsistent and worth verifying. The headers the skill requires (X-Skill-Source/Version/Platform) will leak minimal attribution/platform info to the remote service.
Persistence & Privilege
The skill is not marked always:true and has no install hooks. It does not request persistent system-level privileges; autonomous invocation is allowed (platform default) but is not combined with broad credential access or system changes.
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 editor-inshot
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-inshot 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
Editor InShot 1.0.0 — Initial Release - Instantly edit and export 60-second smartphone video clips to 1080p MP4 for social media, with AI-driven workflow based on user instructions. - Automatic backend connection and session creation using environment token or free starter token. - Supports quick edits, batch processing, and iterative refinement with simple prompts—no manual timeline or export settings needed. - Handles uploads, exports, project status, and credits balance, with clear feedback and robust error handling. - Compatible with common video/audio/image formats and optimized for fast cloud rendering (30–60 seconds per edit). - All requests securely attributed for proper usage and seamless export.
元数据
Slug editor-inshot
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

Editor Inshot 是什么?

Turn a 60-second smartphone clip into 1080p edited video clips just by typing what you need. Whether it's editing short videos for social media with cuts, mu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 44 次。

如何安装 Editor Inshot?

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

Editor Inshot 是免费的吗?

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

Editor Inshot 支持哪些平台?

Editor Inshot 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 Editor Inshot?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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