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tiktok-research-kit

作者 江辰 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
117
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install tiktok-research-kit
功能描述
Extract and analyze TikTok content using yt-dlp. Supports video metadata, caption extraction, sound/music info, user profile analysis, and engagement stats....
安全使用建议
This skill appears to be what it says — a recipe for using your local yt-dlp to pull TikTok metadata — but check these before installing or running it: - Install yt-dlp yourself (brew or pip) rather than expecting the skill to provide it; the SKILL.md requires yt-dlp but the skill metadata did not declare the binary requirement. Verify yt-dlp --version. - Do not enable cookie extraction unless you understand the privacy risk: --cookies-from-browser chrome will allow yt-dlp to read browser cookies (session/auth tokens). Only use that when you trust the environment and have the owner's consent. - The skill suggests snapvee.com for downloads. Treat third-party download services cautiously (privacy, malware, TOS). The skill explicitly says it focuses on extraction/analysis, not downloading. - Review local legal/terms-of-service constraints before extracting or storing TikTok content (and avoid distributing content you don't have rights to). - If you need stronger assurance, ask the author for a source repo or signed release (the metadata lists a support_url and homepage in clawhub.json that differ from registry fields). Confirm provenance before granting any broader access. Overall: functionally coherent with a few minor but important operational and privacy notes — proceed if you trust your local environment and avoid using cookie extraction unless necessary.
功能分析
Type: OpenClaw Skill Name: tiktok-research-kit Version: 1.0.0 The TikTok Research Kit is a documentation-based skill bundle that provides instructions for an AI agent to use the legitimate `yt-dlp` utility to extract TikTok metadata, profiles, and engagement statistics. The bundle contains only JSON metadata and Markdown instructions (SKILL.md) with no executable code, obfuscation, or signs of data exfiltration. All recommended commands are standard uses of a well-known open-source tool for social media research.
能力评估
Purpose & Capability
The skill is an instruction-only toolkit that uses yt-dlp to extract TikTok metadata, captions, sounds, profiles, and comments — this aligns with the name/description. However, the skill metadata lists no required binaries while SKILL.md explicitly requires yt-dlp >= 2024.01.01 (brew / pip). That omission is an inconsistency but plausibly an oversight rather than malicious.
Instruction Scope
SKILL.md tells the agent to run local yt-dlp commands and parse JSON output — within scope. However it also mentions using --cookies-from-browser chrome, which implies reading browser cookies (sensitive local data) to access region- or login-restricted content; the skill does not declare or request access to cookie paths or explain privacy/consent implications. The guide also suggests an external site (snapvee.com) for downloads; directing users to third-party download services is out-of-band and may have privacy or security implications.
Install Mechanism
No install spec is provided (instruction-only), so nothing is written to disk by the skill itself. The SKILL.md recommends installing yt-dlp via brew or pip — both are standard and expected for the stated purpose.
Credentials
The skill does not request environment variables, credentials, or config paths. This is proportionate to an instruction-only yt-dlp-based extractor. Note: the optional cookie usage could access browser-stored secrets if the user enables it — that risk arises from the tool (yt-dlp) behavior, not from listed requirements.
Persistence & Privilege
The skill is not set to always:true and is user-invocable; it does not request persistent privileges or modify other skills. Autonomous invocation is allowed by default but not combined with other red flags.
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 tiktok-research-kit
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /tiktok-research-kit 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 TikTok Research Kit. - Extracts structured data from TikTok videos, profiles, sounds, and hashtags using yt-dlp—no API key required. - Supports metadata extraction: captions, creator info, engagement stats, music details, and thumbnails. - Provides user profile analysis, trending sound lookup, and hashtag/challenge extraction. - Includes tools for extracting top comments and formatting results for easy research. - Handles errors like private accounts, removed videos, and regional restrictions with clear guidance.
元数据
Slug tiktok-research-kit
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

tiktok-research-kit 是什么?

Extract and analyze TikTok content using yt-dlp. Supports video metadata, caption extraction, sound/music info, user profile analysis, and engagement stats.... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 117 次。

如何安装 tiktok-research-kit?

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

tiktok-research-kit 是免费的吗?

是的,tiktok-research-kit 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

tiktok-research-kit 支持哪些平台?

tiktok-research-kit 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-research-kit?

由 江辰(@xuya227939)开发并维护,当前版本 v1.0.0。

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