Omni-X

Extract X (Twitter) data including user profiles, posts, followers, followings, media, and search results. This skill provides comprehensive Twitter data ext...

This package appears to implement a Twitter/X scraper using TweeterPy and its behavior matches its documentation. Before installing or supplying credentials: 1) Do not paste your auth_token or username/password into an untrusted environment—treat the cookie like a password. 2) Prefer guest mode for basic lookups; only provide auth_token if you understand the risk and trust the code. 3) Inspect tweeterpy and Omni‑X source (especially session save/load) to see where tokens are stored/transmitted; run in an isolated environment or container. 4) Be aware scraping can violate X/Twitter terms and may lead to account action. 5) Pin and audit dependencies (tweeterpy) and prefer manual install so you can review packages. If you want, I can point out exact lines where auth_token is used and where sessions are saved/loaded, or summarize the code paths that handle credentials.

Type: OpenClaw Skill Name: omni-x Version: 1.0.0 The Omni-X skill bundle provides a well-structured and documented interface for extracting Twitter data using the 'tweeterpy' library. The core logic in 'scripts/twitter_skills.py' and 'scripts/skill_interface.py' is transparently aligned with the stated purpose of retrieving profiles, tweets, and follower data. While the skill handles sensitive Twitter 'auth_token' cookies, it does so explicitly as required for authenticated scraping, and the 'SKILL.md' instructions correctly guide the AI agent to request these from the user when necessary. No evidence of data exfiltration to third parties, malicious command execution, or deceptive prompt injection was found.