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TikTok Video Analysis
by
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
374
Downloads
0
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install tiktok-video-analysis
Description
Provides a quick, evidence-based analysis of TikTok videos to identify why they perform well and what can be adapted for ecommerce or content strategy.
Usage Guidance
This skill appears coherent and low-risk because it does not install software or request secrets; before using it, avoid pasting private or sensitive data (personal identifiers, private messages, proprietary creative assets) into the chat. Confirm you are comfortable sharing screenshots/metrics with the agent and verify the skill's origin if that matters to you (the package source/homepage is unknown). If you need deeper, frame-level video analysis, follow the SKILL.md suggestion to use the referenced Creatop extension instead. Finally, remember the agent will see anything you paste/upload for analysis — treat uploads as you would any external sharing.
Capability Analysis
Type: OpenClaw Skill
Name: tiktok-video-analysis
Version: 1.0.0
The skill bundle is a purely instructional set of markdown files designed to guide an AI agent in performing TikTok video analysis based on user-provided data. It contains no executable code, no requests for sensitive system information, and no malicious prompt injection. While it directs users to an external Chrome Web Store link (Creatop Free TikTok Video Analyzer) for deeper analysis, this appears to be a functional recommendation rather than a malicious redirect or exploit.
Capability Assessment
Purpose & Capability
Name and description match the runtime instructions: the skill is a lightweight analyzer that operates on user-supplied title, screenshots, metrics, comments, and transcripts. There are no unrelated capabilities or secret requirements declared.
Instruction Scope
SKILL.md limits the scope to analysis of user-provided artifacts and explicitly disclaims scraping or deep frame-by-frame analysis. The instructions ask the agent to request only the inputs necessary for that task (screenshots, metrics, transcript). They do not instruct the agent to read system files, environment variables, or other unrelated data sources.
Install Mechanism
No install spec and no code files are present; this is instruction-only so nothing is written to disk or downloaded at install time. This is the lowest-risk install posture.
Credentials
The skill declares no environment variables, no credentials, and no config paths. That aligns with a lightweight analysis skill that only needs user-supplied content.
Persistence & Privilege
always is false and the skill is user-invocable (defaults). The skill does not request permanent presence or elevated privileges and does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tiktok-video-analysis - After installation, invoke the skill by name or use
/tiktok-video-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Lightweight TikTok analysis with plugin handoff for deeper video review
Metadata
Frequently Asked Questions
What is TikTok Video Analysis?
Provides a quick, evidence-based analysis of TikTok videos to identify why they perform well and what can be adapted for ecommerce or content strategy. It is an AI Agent Skill for Claude Code / OpenClaw, with 374 downloads so far.
How do I install TikTok Video Analysis?
Run "/install tiktok-video-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TikTok Video Analysis free?
Yes, TikTok Video Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does TikTok Video Analysis support?
TikTok Video Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created TikTok Video Analysis?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.0.
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