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Install in OpenClaw
/install video-multi-publish
Description
One-stop multi-platform video publishing workflow. From video clipping to multi-platform publishing, full process automation. Supports automatic clipping for...
Usage Guidance
This skill appears to do local video analysis and ffmpeg-based clipping and then prints simulated publish results — it does not contain real API integrations or request platform credentials. Before installing or running: 1) Expect to need ffmpeg/ffprobe installed locally (the script will exit if missing) even though the registry metadata didn't list required binaries; 2) Do not assume it will actually upload to platforms — the code shown only simulates publishing and lacks credential handling; 3) Review the full script (remaining/truncated parts) to confirm there are no hidden network calls; 4) Test it on non-sensitive sample videos in an isolated environment first; 5) If you need real multi-platform publishing, be prepared to add secure credential handling (store API keys safely) and verify each platform integration rather than relying on this skill as-is. The mismatch between advertised capabilities and the implementation is the main concern — treat this as buggy/misleading rather than overtly malicious unless later code reveals undisclosed network endpoints or credential exfiltration.
Capability Analysis
Type: OpenClaw Skill
Name: video-multi-publish
Version: 1.0.0
The skill bundle provides a workflow for automated video clipping and multi-platform publishing. The core logic in `scripts/video_multi_publish.py` uses `subprocess.run` with argument lists to securely interface with `ffmpeg` and `ffprobe`, avoiding shell injection vulnerabilities. The publishing functionality is currently implemented as a simulation (mocked), and the code contains no evidence of data exfiltration, credential theft, or malicious prompt injection.
Capability Assessment
Purpose & Capability
The name/description promise full end-to-end multi‑platform publishing (WeChat, Bilibili, Xiaohongshu, Douyin, YouTube, TikTok). The included Python code implements local analysis, clipping (ffmpeg/ffprobe) and a simulated publish function that prints success, but does not integrate with platform APIs or request any credentials. Additionally openclaw.skill.json sets "ffmpeg_required": true while the registry metadata lists no required binaries — inconsistent with the runtime check in code that exits if ffmpeg is missing.
Instruction Scope
SKILL.md and the CLI/API examples instruct running the included script to 'publish' to platforms. However the script's publish routines are simulated (no network endpoints, no credential handling shown in the included code). SKILL.md implies network uploads and use of platform credentials, but neither the instructions nor the code explain how credentials are provided — a scope/expectation mismatch (claims network publishing but instructs/implements only local operations).
Install Mechanism
No install spec (instruction-only + bundled Python script). This is low risk in installation terms. The skill will call external binaries (ffmpeg/ffprobe) at runtime, but there is no post-install download/extract or remote code fetch in the provided files.
Credentials
The skill requests no environment variables or credentials, yet claims to publish to third‑party platforms where API keys/tokens would normally be required. That absence is disproportionate to the claimed capability and indicates either (a) the skill only simulates publishing (which is the current code behavior) or (b) the real publishing implementation is missing and would require sensitive credentials not declared here.
Persistence & Privilege
Skill is not always-on, has no special OS restrictions, and doesn't request to modify other skills or system configurations in the provided files. No elevated persistence or privileges are observed.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-multi-publish - After installation, invoke the skill by name or use
/video-multi-publish - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of video-multi-publish — a full workflow for multi-platform video publishing.
- Automates video analysis, platform-adapted clipping, and content optimization (titles, tags, descriptions).
- Recommends best publish time per platform and supports one-click publishing.
- Supports WeChat, Bilibili, Xiaohongshu, Douyin, YouTube, TikTok and more.
- Includes publishing status tracking and performance analytics dashboard.
- Provides CLI and Python API for end-to-end or granular workflow control.
Metadata
Frequently Asked Questions
What is Video Multi-Platform Publish?
One-stop multi-platform video publishing workflow. From video clipping to multi-platform publishing, full process automation. Supports automatic clipping for... It is an AI Agent Skill for Claude Code / OpenClaw, with 299 downloads so far.
How do I install Video Multi-Platform Publish?
Run "/install video-multi-publish" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Multi-Platform Publish free?
Yes, Video Multi-Platform Publish is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Multi-Platform Publish support?
Video Multi-Platform Publish is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Multi-Platform Publish?
It is built and maintained by Roma (@earthwalking); the current version is v1.0.0.
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