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Video Multi-Platform Publish

作者 Roma · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
299
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install video-multi-publish
功能描述
One-stop multi-platform video publishing workflow. From video clipping to multi-platform publishing, full process automation. Supports automatic clipping for...
安全使用建议
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.
功能分析
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.
能力评估
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.
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 video-multi-publish
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-multi-publish 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 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.
元数据
Slug video-multi-publish
版本 1.0.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Video Multi-Platform Publish 是什么?

One-stop multi-platform video publishing workflow. From video clipping to multi-platform publishing, full process automation. Supports automatic clipping for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 299 次。

如何安装 Video Multi-Platform Publish?

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

Video Multi-Platform Publish 是免费的吗?

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

Video Multi-Platform Publish 支持哪些平台?

Video Multi-Platform Publish 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 Video Multi-Platform Publish?

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

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