ClawHub

AI Video Creator

v1.0.0

AI 治愈氛围视频自动生产流水线。选题 → 即梦AI生成多段视频 → 拼接配乐 → 发布小红书。每天一条命令，自动产出治愈系短视频内容。

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byjameswang@jameswangchen
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Purpose & Capability
The skill claims to generate videos via Volcengine (Jimeng) and publish to Xiaohongshu; it requires VOLCENGINE_ACCESS_KEY/SECRET and uses a local MCP server for publishing. Required binaries (python3, ffmpeg) and the volcengine SDK dependency are appropriate for the described workflow.
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Instruction Scope
SKILL.md confines actions to the skill directory, the Volcengine API, ffmpeg, and a local MCP server. It reads persona/prompt files, writes outputs under output/, and runs included Python scripts. It does not instruct reading unrelated system files or sending data to unexpected remote hosts (network calls go to Volcengine and to localhost MCP).
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Install Mechanism
This is instruction-only with bundled scripts and a simple requirements.txt (volcengine>=1.0.0). No remote binary downloads or obscure installers are used in the skill bundle itself.
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Credentials
Only VOLCENGINE_ACCESS_KEY and VOLCENGINE_SECRET_KEY are required and declared (primaryEnv set). The code also optionally reads VIDEO_FONT if present (not required). That optional environment variable is harmless but not declared in requires.env.
✓
Persistence & Privilege
always is false and the skill does not request persistent platform-wide privileges or modify other skills. It runs user-invoked scripts and writes outputs under the skill directory only.
Assessment
This skill appears coherent and implements what it says: it will use your Volcengine API keys to create videos, download the generated media URLs, run ffmpeg to process media, and contact a local Xiaohongshu MCP server to publish. Before installing, ensure you: (1) only provide Volcengine keys you trust (rotate/limit them if possible); (2) run and vet the xiaohongshu-mcp binary locally (it will post on your behalf); (3) be aware downloaded video URLs are fetched and fed into ffmpeg (only use with trusted API responses); (4) optionally set VIDEO_FONT if you want text overlay on non-macOS systems; and (5) avoid running as root—run the skill under a normal user and inspect/limit network access if you have concerns.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🎬 Clawdis
Binspython3, ffmpeg
EnvVOLCENGINE_ACCESS_KEY, VOLCENGINE_SECRET_KEY
Primary envVOLCENGINE_ACCESS_KEY

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