← 返回 Skills 市场
TikTok视频审核
作者
robinzhang
· GitHub ↗
· v1.1.0
· MIT-0
88
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tiktok-video-audit
功能描述
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...
安全使用建议
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tiktok-video-audit - 安装完成后，直接呼叫该 Skill 的名称或使用
/tiktok-video-audit触发 - 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
v1.1.0
新增阶段二发布规范评分，升级v2报告格式
元数据
常见问题
TikTok视频审核 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 TikTok视频审核？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tiktok-video-audit」即可一键安装，无需额外配置。
TikTok视频审核 是免费的吗？
是的，TikTok视频审核 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
TikTok视频审核 支持哪些平台？
TikTok视频审核 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 TikTok视频审核？
由 robinzhang（@robinzhang）开发并维护，当前版本 v1.1.0。
推荐 Skills