Can I filter the search results for higher quality posts?

Yes, you can customize the search parameters to filter by engagement metrics, such as minimum favorite counts, to focus on viral or high-impact content.

Do I need a personal Twitter API key to use this skill?

No, this skill uses the BlockRun SDK which handles data retrieval through an integrated agent wallet, removing the need for individual developer API credentials.

How are the queries for Twitter data paid for?

Queries are funded via a BlockRun agent wallet. On first use, a QR code is generated for you to add a small amount of USDC on the Base network.

What is the typical cost per analysis?

Costs are usage-based, typically ranging from $0.25 to $0.50 per query depending on the number of sources retrieved and the depth of the analysis.

Which AI model performs the analysis?

The skill is configured to use xAI's Grok-3 model via the BlockRun platform, which is specifically optimized for real-time social media understanding.

Twitter Intel

Name: Twitter Intel
Author: BlockRunAI

byBlockRunAI

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Social Media Management

Analyzes real-time X/Twitter data to provide account insights, track trending topics, and monitor keyword mentions without requiring API keys.

About

Twitter Intel is a specialized capability for Claude Code that leverages the BlockRun SDK and Grok-3 to access live social media intelligence. It enables developers and researchers to perform deep dives into user profiles, analyze sentiment around specific hashtags, and monitor brand mentions in real-time. By utilizing an integrated agent wallet for usage-based payments, this skill bypasses traditional API complexities, providing structured reports on engagement metrics, content themes, and key influencers directly within the terminal.

Key Features

Comprehensive account analysis including engagement patterns and content themes
Keyword monitoring for brand mentions and competitor activity
Automated cost reporting per query using integrated agent wallets
Grok-3 powered insights for high-accuracy social data interpretation
Real-time hashtag and topic tracking with sentiment analysis
13 GitHub stars

Use Cases

Monitoring real-time brand sentiment and public relations crises
Identifying industry influencers and trending technical discussions
Performing competitive intelligence and content strategy audits

About

Key Features

Comprehensive account analysis including engagement patterns and content themes
Keyword monitoring for brand mentions and competitor activity
Automated cost reporting per query using integrated agent wallets
Grok-3 powered insights for high-accuracy social data interpretation
Real-time hashtag and topic tracking with sentiment analysis
13 GitHub stars

Use Cases

Monitoring real-time brand sentiment and public relations crises
Identifying industry influencers and trending technical discussions
Performing competitive intelligence and content strategy audits