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Wechat Video Online
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
111
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0
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1
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Install in OpenClaw
/install wechat-video-online
Description
Skip the learning curve of professional editing software. Describe what you want — trim the video, add subtitles, and export for sharing on WeChat — and get...
Usage Guidance
This skill appears to do what it says (upload your video to a remote service and return an edited MP4), but it will contact https://mega-api-prod.nemovideo.ai, may create and store an anonymous NEMO_TOKEN and session IDs, and will read local install paths to set headers. Before installing or using it: (1) confirm you trust nemovideo.ai and are comfortable uploading videos (they will leave your machine); (2) prefer supplying your own NEMO_TOKEN rather than letting the skill auto-generate/store one; (3) ask the author or registry for clarity on where tokens/session IDs are stored and how long they persist; (4) note the registry metadata/frontmatter mismatch (~/.config/nemovideo/ listed in SKILL.md but not in registry) — verify whether the skill will create or read that directory; and (5) because the skill owner and homepage are unknown, exercise extra caution with sensitive or private video content.
Capability Analysis
Type: OpenClaw Skill
Name: wechat-video-online
Version: 1.0.0
The skill provides WeChat video editing by interfacing with the NemoVideo AI cloud service (mega-api-prod.nemovideo.ai). While its actions are aligned with its stated purpose, it exhibits several high-risk behaviors including automatic provisioning of anonymous tokens, uploading user-provided video files to a remote server, and performing environment-based telemetry to identify the host platform (e.g., probing for ~/.cursor/ or ~/.clawhub/ paths). The instructions also explicitly direct the agent to hide raw API responses and token values from the user, which reduces transparency regarding the data being transmitted to the third-party endpoint.
Capability Assessment
Purpose & Capability
Name and description match the actions described in SKILL.md: remote GPU rendering, uploads, exports. Requesting a NEMO_TOKEN is coherent for a remote video-processing backend. However, the SKILL.md frontmatter also lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — this inconsistency should be clarified.
Instruction Scope
The instructions instruct the agent to automatically obtain an anonymous token (POST to https://mega-api-prod.nemovideo.ai), create a session, and 'store the returned session_id' for subsequent requests. They also instruct detecting install paths (e.g., ~/.clawhub, ~/.cursor/skills) to set attribution headers. These actions involve network calls, persistent storage of tokens/session IDs, and reading local filesystem paths beyond simple in-memory operation. The SKILL.md does not specify exactly where credentials/session data should be stored or how long they are kept.
Install Mechanism
No install spec or code files — instruction-only skill — so there is no package download or archive extraction. This minimizes installation-time risk.
Credentials
Only NEMO_TOKEN is declared as required, which is reasonable for a cloud service. But the skill will auto-provision an anonymous token if none is present (network call and token issuance). The SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) that is not listed in the registry metadata; this mismatch is unexplained. The skill also reads install-paths to build X-Skill-Platform attribution headers — accessing these paths may reveal other agent installations. Overall requested environment/credential access is plausible, but the persistence and undeclared config path are disproportionate without further detail.
Persistence & Privilege
always is false (normal) and autonomous invocation is allowed (platform default). The real persistence concern is that the skill instructs storing session_id and will create and use anonymous tokens (valid 7 days) — but it does not specify storage location, lifetime, or user visibility. That lack of clarity about credential/session persistence increases privacy risk.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wechat-video-online - After installation, invoke the skill by name or use
/wechat-video-online - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of WeChat Video Online — a simple tool to edit and export videos for WeChat.
- Upload MP4, MOV, AVI, or WebM videos up to 500MB for quick online editing.
- Describe tasks (trim, add subtitles, export, etc.) and get an AI-edited, share-ready MP4 in 30–60 seconds.
- No desktop software required; all processing is handled on secure remote servers.
- Easily check credits, upload multiple files, and manage sessions.
- Includes clear guidance for first-time setup and error handling.
Metadata
Frequently Asked Questions
What is Wechat Video Online?
Skip the learning curve of professional editing software. Describe what you want — trim the video, add subtitles, and export for sharing on WeChat — and get... It is an AI Agent Skill for Claude Code / OpenClaw, with 111 downloads so far.
How do I install Wechat Video Online?
Run "/install wechat-video-online" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Wechat Video Online free?
Yes, Wechat Video Online is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Wechat Video Online support?
Wechat Video Online is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Wechat Video Online?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
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