A powerful browser-based automation tool for Twitter/X that operates like a human user via Chrome without requiring API keys.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install twitter-browser-automation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install twitter-browser-automation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Twitter Browser Controller is a specialized tool designed for the Openclaw Skills ecosystem, enabling AI agents to interact with Twitter/X directly through the Chrome browser. By utilizing a browser-relay MCP server, this skill bypasses the need for restricted or expensive API access, operating exactly like a human user by navigating pages, clicking buttons, and reading content. It is engineered with a heavy focus on authenticity, featuring a de-AI content pipeline that ensures posts sound human and avoid the robotic tone common in automated accounts.
Built for platform resilience, this Openclaw Skills addition uses advanced selector hierarchies to handle X's randomized CSS classes and dynamic Single Page Application (SPA) behavior. It prioritizes account safety with built-in anti-ban strategies, including behavioral jitter, session limits, and exponential backoff. Whether you are managing an X Free or X Premium account, this skill adapts to specific character limits and visibility constraints to maximize reach and engagement.
To use this skill within the Openclaw Skills framework, follow these steps:
browser-relay MCP server is installed and configured in your environment.x.com.# Example skill registration
openclaw install twitter-browser-skill
The skill organizes interaction data and metadata according to the following structure:
| Data Category | Details |
|---|---|
| Account Tiers | Defines limits for character counts (280 vs 25,000) and follow rates. |
| Engagement Metrics | Tracks Likes, Reposts, Replies, Bookmarks, and Views. |
| Selector Hierarchy | Maps UI elements using data-testid, ARIA roles, and visual identification. |
| Content Rules | Enforces a 23-character count for all URLs regardless of length. |
| Safety Logs | Monitors session post counts and mandatory wait times between actions. |
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