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TikTok视频审核
by
robinzhang
· GitHub ↗
· v1.1.0
· MIT-0
88
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install tiktok-video-audit
Description
TikTok 视频 AI 审核技能。当用户发送 TikTok 链接并要求审核视频、生成审核报告时触发。功能包括：(1) TikTok 短链接解析，(2) yt-dlp 下载视频，(3) OpenCV 抽帧（前10秒10帧），(4) moviepy 音频提取分析（含逐秒 RMS），(5) Lingya AI（gem...
Usage Guidance
Do not run this skill as-is. Specific actions you should take before installing or using it:
- Treat the API key in SKILL.md as exposed: remove it and ask the author to move credentials to environment variables (e.g., LINGYA_API_KEY) or provide your own key. If that key is yours, rotate it immediately.
- Inspect scripts/tiktok_audit.py to confirm exactly what is sent to the external endpoint (frames, audio, or metadata). Only run if you accept that video/audio data will be uploaded to Lingya AI.
- Replace the hard-coded yt-dlp path with a configurable setting or ensure yt-dlp is on PATH. Install required Python packages (OpenCV, moviepy, requests, python-docx, etc.) in an isolated environment.
- Ask the maintainer to update registry metadata: declare required binaries, env vars, and an install spec or packaging instructions. If you cannot contact the author, run the code in an isolated environment (container/VM) and inspect network traffic during a dry run.
- If you plan to use this with sensitive videos, do not upload them to third-party APIs until you confirm the privacy/retention policy of the external service and replace the hard-coded key with your own account and access controls.
Capability Assessment
Purpose & Capability
The skill claims to parse TikTok links, download videos, extract frames/audio and call an external LLM service for auditing—those capabilities are consistent with the code and SKILL.md. However the package metadata declares no required binaries or environment variables while SKILL.md and the script reference yt-dlp, OpenCV, moviepy and an external API; the metadata does not declare these dependencies or credentials, which is an incoherence and makes installation/usage unclear.
Instruction Scope
Runtime instructions ask the agent to run the supplied Python script against TikTok links and reference an external API endpoint. The SKILL.md contains a full API endpoint and a hard-coded API key; it does not document what exact data (frames, audio, or full video) will be uploaded to the external Lingya AI endpoint. Because video frames and audio can contain sensitive content or PII, the lack of explicit data-upload disclosures is a concern.
Install Mechanism
There is no install spec (instruction-only + included code file). That reduces installer risk, but the repository includes a large Python script and example output files while not declaring runtime Python package dependencies (OpenCV, moviepy, yt-dlp, requests/HTTP client, docx libs). The missing dependency/install information is a usability/security gap—users may run the code without understanding what will be installed or required.
Credentials
Metadata lists no required environment variables or credentials, but SKILL.md embeds a clear API key ('sk-0zy1YyzLaabc...') and a hard-coded yt-dlp path (/Users/apple/Library/...). Hard-coded secrets and per-user filesystem paths are inappropriate: credentials should not be embedded in code/README and should be declared as required env vars (and users should supply their own). The embedded API key appears to be real-looking and is not justified by the metadata—this is disproportionate and risky (possible credential leakage or misuse).
Persistence & Privilege
The skill does not request always:true, does not declare system-wide installs, and does not modify other skills' configs in the SKILL.md. It writes output files (audit reports, downloads) to a relative output directory, which is expected behavior for this functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tiktok-video-audit - After installation, invoke the skill by name or use
/tiktok-video-audit - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
新增阶段二发布规范评分，升级v2报告格式
Metadata
Frequently Asked Questions
What is TikTok视频审核?
TikTok 视频 AI 审核技能。当用户发送 TikTok 链接并要求审核视频、生成审核报告时触发。功能包括：(1) TikTok 短链接解析，(2) yt-dlp 下载视频，(3) OpenCV 抽帧（前10秒10帧），(4) moviepy 音频提取分析（含逐秒 RMS），(5) Lingya AI（gem... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install TikTok视频审核?
Run "/install tiktok-video-audit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TikTok视频审核 free?
Yes, TikTok视频审核 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does TikTok视频审核 support?
TikTok视频审核 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created TikTok视频审核?
It is built and maintained by robinzhang (@robinzhang); the current version is v1.1.0.
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