<h2 class="heading-node">About Project RUGGUARD</h2>Project RUGGUARD is dedicated to building tools that help users assess the trustworthiness of token projects on the Solana Network. Our goal is to foster a more transparent and reliable online environment by providing users with clearer insights into the accounts they interact with. We are launching this bounty to develop an innovative X bot that analyzes account information upon request.<h2 class="heading-node">Mission</h2>Develop an X (formerly Twitter) bot that, when triggered by the phrase “@projectruggaurd riddle me this" in a reply, analyses the original tweet's author and posts a trustworthiness report about that author. Contact me for personal review of Projects before submission: TG: devsyremAdvice: DO NOT ADD WINGS AND A JET ENGINE TO A CAR!!!!!!!!! Try and not overcomplicate the project and stick to the scope detail below!<h2 class="heading-node">Scope Detail</h2>The bot must perform the following key functions:The entire bot should have be able to be deployable on a Virtual Machine by Replit.com<ul class="list-node"><li>Trigger Listener:<ul class="list-node"><li>Monitor replies under tweets across X (or optionally, only under a specified account like @projectrugguard).</li><li>If a reply includes the exact phrase "riddle me this", the bot must:<ul class="list-node"><li>Identify the tweet being replied to.</li><li>Extract the user ID of that tweet's original author.</li><li>Initiate analysis for the original author, not the user who posted the "riddle me this" comment.</li><li>Free X Developer Account Signup: <a class="link" href="https://developer.x.com/en/portal/petition/essential/basic-info">https://developer.x.com/en/portal/petition/essential/basic-info</a></li><li>Developer Docs: <a class="link" href="https://docs.x.com/x-api/fundamentals/data-dictionary#tweet">https://docs.x.com/x-api/fundamentals/data-dictionary#tweet</a> PLEASE DO NOT SELL YOUR LEFT KIDNEY TO BUY API CREDITS FOR 1 MONTH, YOU CAN GET A FREE ACCOUNT WITH SUFFICIENT CREDIT!!!! Please message me if yu can’t find the button</li></ul></li></ul></li><li>Account Analysis:<ul class="list-node"><li>Gather and analyze data for the identified original author, including but not limited to:<ul class="list-node"><li>Account age.</li><li>Follower/following ratio.</li><li>Bio content (keywords, length).</li><li>Engagement patterns (e.g., average likes/retweets, reply frequency).</li><li>Content of recent tweets (e.g., sentiment, topics).</li><li>Backed By Network of Followers</li></ul></li></ul></li><li>Trusted Account Cross-Check:<ul class="list-node"><li>Implement logic (conceptually similar to a <code class="inline" spellcheck="false">trusted_accounts.py</code> module) to check if the target user is followed by at least three accounts from a predefined list of trusted users.</li><li>If accounts being analysed are being followed by at least 2 of these accounts, thats a positive indication that the project/individual is reliable</li><li>List to Trusted Accounts: <a class="link" href="https://github.com/devsyrem/turst-list/blob/main/list">https://github.com/devsyrem/turst-list/blob/main/list</a> (The trust list needs to be in this layout in order to be updated accordingly).</li></ul></li><li>Reply System:<ul class="list-node"><li>Post a reply to the triggering "riddle me this" comment.</li><li>This reply should contain a concise summary of the trustworthiness analysis for the original tweet's author.</li></ul></li></ul><h2 class="heading-node">Submission Requirements</h2><ul class="list-node"><li>A link to a public GitHub repository containing the full, well-documented source code.</li><li>A comprehensive <code class="inline" spellcheck="false">README.md</code> file that includes:<ul class="list-node"><li>Clear setup and installation instructions, including API key configuration.</li><li>Step-by-step guidance on how to run the bot.</li><li>An overview of the bot's architecture and key modules.</li></ul></li><li>The bot must be easily deployable and runnable on Replit (e.g., include a <code class="inline" spellcheck="false">requirements.txt</code> file).</li><li>All submitted code must be original or use open-source libraries with proper attribution.</li><li>The final submission must be scored at 100 points in order to be considered for prizes.</li><li>The submission, including all documentation, must be in English.</li></ul><h2 class="heading-node">Judging Criteria</h2>Submissions will be evaluated based on the following criteria (100 points total):<ul class="list-node"><li>Functionality (50 points):<ul class="list-node"><li>Bot successfully scans replies under tweets (across X or a specified account) (5 pts)</li><li>Correctly and reliably detects the "riddle me this" trigger phrase in comments (5 pts)</li><li>Accurately extracts the user ID of the original tweet's author (the one being replied to) (10 pts)</li><li>Performs analysis on the correct user (original poster, not the commenter) (10 pts)</li><li>Posts a coherent, accurate, and informative trust report as a reply to the triggering comment (10 pts)</li><li>Followers on the list are automatically vouched by the bot and accounts that are followed by at least 3 individuals/projects on the trust list are vouched. (10 pts)</li></ul></li><li>Code Quality (20 points):<ul class="list-node"><li>Code is clean, well-commented, maintainable, and follows best practices.</li><li>Efficient use of resources and Twitter API calls.</li></ul></li><li>Modularity (20 points):<ul class="list-node"><li>The codebase exhibits a well-structured and modular design, with logical separation of concerns (e.g., trigger listening, account analysis, reply generation).</li></ul></li><li>Replit Readiness (10 points):<ul class="list-node"><li>The bot is easy to configure and run on Replit Virtual Machine</li><li>All dependencies are clearly listed and managed.</li></ul></li></ul><h2 class="heading-node">Reward Structure</h2><ul class="list-node"><li>1st Place: 300 USDC + Exclusive Merch</li><li>2nd - 5th: Exclusive Merch</li></ul>

300USDC Total Prizes
300 USDC 1st

Develop X Bot for Trustworthiness Analysis | 300 USDC + EXCLUSIVE MERCH