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Install in OpenClaw
/install maverick-google-video-url-analysis
Description
Send a public video URL directly to a Google Gemini model for analysis. Use when Codex must summarize a video, answer questions about video content, or extra...
README (SKILL.md)
Google Video Url Analysis
Use scripts/gemini_video_url_analyzer.py for deterministic Gemini calls instead of ad-hoc API snippets.
Workflow
- Set an API key:
MAVERICK_GEMINI_API_KEY(preferred), orMAVERICK_GOOGLE_API_KEY
- Run the analyzer with a public video URL supported by Gemini as direct URI input.
- Provide a task-specific prompt (summary, timeline extraction, Q&A, moderation, etc.).
- Inspect the text output.
Command Guide
- Basic analysis:
python scripts/gemini_video_url_analyzer.py --video-url "https://www.youtube.com/watch?v=..." --prompt "Summarize in 5 bullets and list important timestamps."
- Override model:
python scripts/gemini_video_url_analyzer.py --video-url "\x3Curl>" --model "gemini-2.5-pro" --prompt "Produce a scene-by-scene report."
Operational Rules
- Require a publicly accessible URL.
- Prefer concise, explicit prompts with concrete output constraints.
Usage Guidance
This appears safe to install if you intend to analyze public video URLs with Gemini. Before use, provide a Gemini API key carefully, expect your URL and prompt to be sent to Google, and install the Google GenAI dependency from a trusted source if your environment does not already have it.
Capability Analysis
Type: OpenClaw Skill
Name: maverick-google-video-url-analysis
Version: 1.0.0
The skill bundle is a legitimate utility designed to analyze video URLs using the Google Gemini API. The Python script (scripts/gemini_video_url_analyzer.py) correctly implements the official google-genai SDK, handles API keys through standard environment variables, and contains no evidence of data exfiltration, obfuscation, or malicious execution logic.
Capability Tags
Capability Assessment
Purpose & Capability
The SKILL.md, agent prompt, and Python script are coherent: they analyze a public video URL with Gemini and print the model response.
Instruction Scope
The workflow is user-directed, requiring a public URL and prompt; there is no evidence of automatic background execution, destructive actions, or unrelated tool use.
Install Mechanism
There is no install spec, but the script tells users to install the unpinned google-genai package if missing. This is purpose-aligned but worth noticing.
Credentials
The skill needs a Gemini API key even though registry requirements list no required env vars or primary credential. The key use is disclosed and limited to Gemini access.
Persistence & Privilege
The artifacts show no persistence, no protected-path writes, no credential storage, no broad local file access, and no long-running agent behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install maverick-google-video-url-analysis - After installation, invoke the skill by name or use
/maverick-google-video-url-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Update skill bundle
Metadata
Frequently Asked Questions
What is Maverick Google Video Url Analysis?
Send a public video URL directly to a Google Gemini model for analysis. Use when Codex must summarize a video, answer questions about video content, or extra... It is an AI Agent Skill for Claude Code / OpenClaw, with 57 downloads so far.
How do I install Maverick Google Video Url Analysis?
Run "/install maverick-google-video-url-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Maverick Google Video Url Analysis free?
Yes, Maverick Google Video Url Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Maverick Google Video Url Analysis support?
Maverick Google Video Url Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Maverick Google Video Url Analysis?
It is built and maintained by Maverick (@maverick); the current version is v1.0.0.
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