opentwitter-2Twitter/X data via the 6551 API. Supports user profiles, tweet search, user tweets, follower events, deleted tweets, and KOL followers.
Install via ClawdBot CLI:
clawdbot install infra403/opentwitter-2Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://ai.6551.io/open/twitter_user_infoCalls external URL not in known-safe list
https://6551.io/mcpAI Analysis
The skill interacts with a documented third-party API (6551) for Twitter/X data access, which is consistent with its stated purpose. While the external endpoint is not on a pre-approved safe list, there is no evidence of credential harvesting, hidden instructions, obfuscation, or exfiltration of user data beyond the intended API calls.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Brands can track mentions, hashtags, and sentiment around their products or campaigns on Twitter/X. This skill enables real-time search with filters like minLikes and lang to gauge engagement and identify trends, helping marketing teams adjust strategies quickly.
Businesses can monitor competitors' Twitter activity, including user tweets and follower events, to analyze their social media presence and audience growth. By fetching deleted tweets and KOL followers, companies gain insights into strategic shifts and influencer partnerships.
Agencies can identify and vet influencers by retrieving user info, tweets, and KOL followers to assess credibility and reach. Searching tweets from specific users or by hashtag helps in campaign planning and performance tracking for targeted promotions.
Organizations can use this skill to detect negative mentions or deleted tweets that may indicate PR issues. By setting up searches with parameters like sinceDate and excludeRetweets, teams can respond promptly to mitigate reputational damage.
Researchers can collect Twitter data on topics like cryptocurrency or political discourse using search with filters for minRetweets and lang. This supports quantitative analysis of public opinion and network dynamics over time.
Offer a subscription-based dashboard that leverages this skill to provide businesses with automated Twitter data reports, such as competitor tracking and sentiment analysis. Revenue comes from tiered monthly plans based on data volume and features like real-time alerts.
Use this skill to deliver customized influencer identification and campaign monitoring services to clients. Revenue is generated through project-based fees or retainer models, with upsells for detailed analytics on follower events and deleted content.
Aggregate and anonymize Twitter data collected via this skill to sell insights or raw datasets to third parties like market researchers. Revenue streams include one-time sales or API access licenses for specific data endpoints like user tweets or search results.
💬 Integration Tip
Ensure the TWITTER_TOKEN is securely stored as an environment variable and use curl commands as templates for API calls in automation scripts.
Scored Apr 19, 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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