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Free Wechat Video

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 free-wechat-video
功能描述
Get WeChat-ready videos ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create a 30-second MP4 clip for a WeChat Moments post into a 1080p MP4"
  • "trim this video and add subtitles for WeChat sharing"
  • "creating short shareable videos for WeChat Moments or chats for WeChat users and social media creators"

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.

Free WeChat Video — Create and Share WeChat Videos

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

Here's a typical use: you send a a 30-second MP4 clip for a WeChat Moments post, ask for trim this video and add subtitles for WeChat sharing, 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 — keep videos under 25MB for smooth WeChat sharing without compression issues.

Matching Input to Actions

User prompts referencing free wechat video, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source free-wechat-video
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.

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

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)

Common Workflows

Quick edit: Upload → "trim this video and add subtitles for WeChat sharing" → 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 this video and add subtitles for WeChat sharing" — 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 compatibility with WeChat playback.

安全使用建议
This skill sends uploaded videos to an external service (mega-api-prod.nemovideo.ai) and will use NEMO_TOKEN if present or automatically fetch an anonymous token. Before installing or using: (1) confirm you are comfortable uploading the specific videos (avoid sensitive/private content), (2) verify the external service/endpoint and its privacy terms (the skill source is unknown and no homepage is provided), (3) note the small metadata mismatch (SKILL.md references ~/.config/nemovideo/ while registry metadata does not) and the instruction to hide technical details from chat — ask the agent to explicitly tell users when files are being uploaded and where, and (4) if you require auditability, request the skill log or show network actions rather than suppressing them. If any of these are unacceptable, do not install or run the skill.
功能分析
Type: OpenClaw Skill Name: free-wechat-video Version: 1.0.0 The skill bundle provides a legitimate integration for the NemoVideo AI video editing service. It defines a clear set of API interactions with 'mega-api-prod.nemovideo.ai' for uploading, editing, and rendering videos, including handling authentication tokens and session management. The instructions in SKILL.md are well-structured for an AI agent to act as a bridge between the user and the backend API, and no indicators of data exfiltration, malicious execution, or unauthorized access were found.
能力评估
Purpose & Capability
Name/description (WeChat-focused video editing) align with the SKILL.md instructions which call a remote video-editing API and require a NEMO_TOKEN. One inconsistency: the registry metadata lists no required config paths, but the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/). This is plausible but mismatched metadata that should be corrected.
Instruction Scope
The SKILL.md instructs the agent to create sessions, upload user video files, start render jobs, poll status, and stream SSE — all consistent with a cloud video service. It also instructs the agent to automatically obtain an anonymous token if NEMO_TOKEN is missing and to 'keep technical details out of the chat' (which is a UX choice but reduces transparency). The agent is not told to read unrelated local files or secrets. The requirement to auto-detect X-Skill-Platform from an install path may be problematic for an instruction-only skill with no install path.
Install Mechanism
No install spec or code is present (instruction-only), so nothing is written to disk. This is the lowest-risk install model.
Credentials
Only one credential is requested (NEMO_TOKEN) which is proportionate for a cloud API. The SKILL.md also documents how to obtain an anonymous token if none is provided — reasonable for usability. No unrelated secrets (AWS keys, SSH keys, etc.) are requested.
Persistence & Privilege
The skill does not request always:true, does not ask to modify other skills, and provides no install-time persistence. Autonomous invocation is allowed (platform default) but not combined with elevated privileges.
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 free-wechat-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-wechat-video 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 of Free WeChat Video skill. - Lets users upload video clips and easily create WeChat-ready videos with AI-powered editing—no manual sliders or software needed. - Supports formats: MP4, MOV, AVI, WebM, and more (up to 500MB). - Simple workflow: upload video, give editing instructions (e.g. trim, add subtitles), and download 1080p MP4 for sharing. - Automatically manages backend session and free starter credits for quick setup. - Designed for WeChat users and social media creators to create and share videos fast, with no technical know-how required.
元数据
Slug free-wechat-video
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

Free Wechat Video 是什么?

Get WeChat-ready videos ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 96 次。

如何安装 Free Wechat Video?

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

Free Wechat Video 是免费的吗?

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

Free Wechat Video 支持哪些平台?

Free Wechat Video 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 Free Wechat Video?

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

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