twitter-analysor
A Twitter bot that reads the tweets of a given username and analyzes the user's personality using AI.
This analyzer bot is written in Python and JavaScript separately. It utilizes Selenium for Python and Puppeteer for JavaScript. The functionality of this robot is as follows: it retrieves the Twitter username from the user and navigates to their page. Here, you have the option to determine the scrolling depth of the page. The greater the scrolling depth, the longer the analysis process will take. It can even read all of the user's tweets. After extracting the data, it filters the text and analyzes it using the parameters we have set for ChatGPT in order to determine the user's personality.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/sabber-slt-twitter-analysor — read its card at https://meshkore.com/agent/sabber-slt-twitter-analysor/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/sabber-slt-twitter-analysorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sabber-slt-twitter-analysor/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own twitter-analysor?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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