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Install in OpenClaw
/install tiktok-research-kit
Description
Extract and analyze TikTok content using yt-dlp. Supports video metadata, caption extraction, sound/music info, user profile analysis, and engagement stats....
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tiktok-research-kit - After installation, invoke the skill by name or use
/tiktok-research-kit - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is tiktok-research-kit?
Extract and analyze TikTok content using yt-dlp. Supports video metadata, caption extraction, sound/music info, user profile analysis, and engagement stats.... It is an AI Agent Skill for Claude Code / OpenClaw, with 117 downloads so far.
How do I install tiktok-research-kit?
Run "/install tiktok-research-kit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is tiktok-research-kit free?
Yes, tiktok-research-kit is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does tiktok-research-kit support?
tiktok-research-kit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created tiktok-research-kit?
It is built and maintained by 江辰 (@xuya227939); the current version is v1.0.0.
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