← 返回 Skills 市场
susan4731-wilfordf

Ai Video Editor Apk Mod

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
57
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install ai-video-editor-apk-mod
功能描述
Skip the learning curve of professional editing software. Describe what you want — trim the clip, add transitions, and apply color correction automatically —...
使用说明 (SKILL.md)

Getting Started

Got raw video clips to work with? Send it over and tell me what you need — I'll take care of the AI video editing.

Try saying:

  • "edit a 60-second smartphone recording into a 1080p MP4"
  • "trim the clip, add transitions, and apply color correction automatically"
  • "editing mobile-shot videos with AI-powered tools online for Android users and mobile creators"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

AI Video Editor APK Mod — Edit and Export Videos Online

This tool takes your raw 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 recording and want to trim the clip, add transitions, and apply color correction automatically — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 2 minutes process significantly faster.

Matching Input to Actions

User prompts referencing ai video editor apk mod, 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 ai-video-editor-apk-mod, 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.

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.

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.

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 "trim the clip, add transitions, and apply color correction automatically" — 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 Android and iOS devices.

Common Workflows

Quick edit: Upload → "trim the clip, add transitions, and apply color correction automatically" → 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.

安全使用建议
This skill functions like a cloud video editor and will upload your videos to an external service (mega-api-prod.nemovideo.ai) and use a bearer token (NEMO_TOKEN) to authenticate. Before installing: 1) Decide whether you trust the external domain and service to handle your media and any personal data in videos. 2) Prefer providing a short-lived or anonymous token rather than a long-lived personal credential; note the skill can obtain an anonymous token itself if NEMO_TOKEN is absent. 3) Verify the discrepancy between the registry (no config paths) and the SKILL.md frontmatter (mentions ~/.config/nemovideo/) — if you have a ~/.config/nemovideo/ directory, inspect it for sensitive data and be cautious that the skill may read it. 4) Don’t store sensitive system credentials in NEMO_TOKEN; avoid giving unrelated secrets. 5) If possible, test with non-sensitive sample clips first and review the service’s privacy/terms outside the skill. If you need more certainty, request the publisher/source of the skill or a signed official integration from the service owner.
功能分析
Type: OpenClaw Skill Name: ai-video-editor-apk-mod Version: 1.0.0 The skill uses deceptive, SEO-heavy naming ('AI Video Editor APK Mod') and directs the agent to interact with an external API (mega-api-prod.nemovideo.ai). It requires uploading user video files to this third-party service and manages its own environment tokens (NEMO_TOKEN). While it lacks explicit evidence of system-level credential theft or backdoors, the misleading branding and the exfiltration of user media to an external backend for processing are characteristic of suspicious behavior.
能力评估
Purpose & Capability
The SKILL.md describes a cloud AI video editor and the required NEMO_TOKEN and API endpoints match that purpose. However the skill name ('APK Mod') and frontmatter mention an on-disk config path (~/.config/nemovideo/) while the registry metadata said no config paths are required — this mismatch is unexplained.
Instruction Scope
Runtime instructions direct the agent to read NEMO_TOKEN (or obtain an anonymous token via POST), create sessions, upload user video files, and poll render endpoints on mega-api-prod.nemovideo.ai. These network calls and uploads are expected for a cloud editor, but the skill also instructs deriving headers from the skill file and detecting an install path (~/.clawhub/, ~/.cursor/skills/) which requires some filesystem context; the instructions do not request unrelated secrets but they do transmit user media to an external service.
Install Mechanism
No install spec and no code files are present (instruction-only). This minimizes on-disk installation risk; nothing is downloaded or written by an installer step described in the skill.
Credentials
The skill requests a single environment credential (NEMO_TOKEN) which is proportionate for a cloud API. It will generate an anonymous token if none exists, which is reasonable. The frontmatter also lists a config path (~/.config/nemovideo/) not declared in the registry requirements — this discrepancy could mean the skill expects to read local config (possible credential or usage data) and should be clarified.
Persistence & Privilege
always is false and the skill does not request elevated or persistent platform-wide privileges. It does not instruct modifying other skills or system-wide configs.
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-apk-mod
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editor-apk-mod 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 APK Mod — Initial Release - Edit and export videos online with AI-powered cloud processing—no modded APK required. - Supports uploading MP4, MOV, AVI, WebM files up to 500MB; ideal for Android users and mobile creators. - Automatic handling of token setup, session creation, and cloud backend connection. - Offers guided editing workflows: trimming, transitions, color correction, adding text, audio tracks, and more via prompt. - Free export of edited videos to MP4 or other popular formats. - Provides real-time feedback, status checks, credits summary, and error handling for a smooth editing experience.
元数据
Slug ai-video-editor-apk-mod
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 Apk Mod 是什么?

Skip the learning curve of professional editing software. Describe what you want — trim the clip, add transitions, and apply color correction automatically —... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 57 次。

如何安装 Ai Video Editor Apk Mod?

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

Ai Video Editor Apk Mod 是免费的吗?

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

Ai Video Editor Apk Mod 支持哪些平台?

Ai Video Editor Apk Mod 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 Apk Mod?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

💬 留言讨论