twitter-intelTwitter keyword search, monitoring, and trend analysis via GraphQL
Install via ClawdBot CLI:
clawdbot install phy041/twitter-intelGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/PHY041/rnet-twitter-clientAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Startups can use this skill to track mentions of their product or competitors on Twitter, filtering for high-engagement tweets to gauge market sentiment and identify influencers. It helps in real-time reputation management and competitive analysis by alerting on viral discussions.
Media organizations can monitor breaking news topics or specific hashtags using the Latest search mode to capture real-time discussions. The trend analysis phase enables weekly reporting on topic shifts, helping journalists identify emerging stories and audience interests.
E-commerce brands can search for campaign-related keywords to measure engagement and reach on Twitter, filtering out replies to focus on original content. The monitoring feature alerts on high-liked tweets, allowing quick response to viral user-generated content.
Researchers can collect tweets over time using keyword monitoring to study discourse around topics like AI or climate change. The trend analysis aggregates data by week, enabling longitudinal studies of theme evolution and sentiment shifts without manual data scraping.
PR teams can set up monitors for client names or industry terms to detect negative sentiment or misinformation early. Immediate alerts on high-engagement tweets allow rapid response to potential crises, while reports provide structured insights for stakeholder updates.
Offer a cloud-based service where users configure keyword monitors via a web dashboard, with automated alerts and weekly trend reports delivered via email or API. Revenue comes from monthly subscriptions based on the number of monitors or data volume.
Provide bespoke analysis services for clients, using the skill to gather Twitter data and generate in-depth reports on brand perception or market trends. Revenue is project-based, with fees for setup, monitoring, and strategic insights.
License the skill's technology to integrate with social media management tools or business intelligence platforms, enhancing their Twitter analytics capabilities. Revenue comes from licensing fees or revenue-sharing agreements with platform partners.
💬 Integration Tip
Ensure the TWITTER_COOKIES_PATH environment variable is securely set and regularly updated to avoid authentication issues, as cookies expire every two weeks.
Scored Jun 17, 2026
Automate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
Interact with Twitter/X — read tweets, search, post, like, retweet, and manage your timeline.
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