This bounty is part of our effort to highlight what’s possible with Shade Agents, autonomous, chain-abstracted AI agents built on NEAR using Chain Signatures. These agents can read, reason, and act across ecosystems without centralized control.Your task is to build a functional DAO Reviewer Agent that can autonomously evaluate governance proposals and return decisions. Just as important, and staying true to our commitment to open-source documentation, you’ll create a clear, beginner-friendly tutorial that anyone can follow. <h3 class="heading-node">What You’ll Build</h3>Your DAO Reviewer Shade Agent should be able to:<ul class="list-node"><li>Read proposals from Markdown, JSON, or a DAO interface</li><li>Evaluate proposals using rules like:<ul class="list-node"><li>Is the proposer on a whitelist?</li><li>Is the budget reasonable?</li><li>Is the task well scoped and feasible?</li></ul></li><li>Return an approve/reject decision with a short explanation</li><li>(Optional) Display results via a UI or CLI</li><li>(Optional) Integrate an LLM (OpenAI, Claude, etc.) for enhanced review or formatting</li></ul><h3 class="heading-node">Submission Requirements</h3>Your GitHub PR should include a <code class="inline" spellcheck="false">/dao-shade-agent/</code> folder containing:<ul class="list-node"><li><code class="inline" spellcheck="false">README.md</code> — A full tutorial: setup, logic, usage, and examples</li><li><code class="inline" spellcheck="false">main.py</code>, <code class="inline" spellcheck="false">index.js</code>, or <code class="inline" spellcheck="false">lib.rs</code> — Your agent’s core logic in Python, JS, or Rust</li><li><code class="inline" spellcheck="false">test_proposals.json</code> — At least 3 sample proposals for testing</li><li><code class="inline" spellcheck="false">demo.mp4</code> or Loom/YouTube link — A short video (2–5 min) walking through the agent’s functionality</li><li>(Optional) Basic UI wrapper or CLI interaction tool</li></ul><h3 class="heading-node">Technical Requirements</h3><ul class="list-node"><li>Must be built in JavaScript, Python, or Rust</li><li>Agent must function autonomously (no manual steps after setup)</li><li>Code must be open source and submitted via GitHub PR</li><li>Tutorial must be clear, complete, and reproducible.</li></ul><h3 class="heading-node">Judging Criteria</h3><ul class="list-node"><li>Clarity &amp; Reproducibility: Is your tutorial easy to follow and replicate?</li><li>Agent Autonomy: Does your agent evaluate and act without manual input?</li><li>Code Quality &amp; Logic: Does the logic make sense and hold up across examples?</li><li>Video Demo: Is your demo clean, clear, and easy to understand?</li></ul><h3 class="heading-node">Resources</h3>Everything you need to learn about Shade Agents and how they work:<ul class="list-node"><li><a class="link" href="https://docs.near.org/ai/shade-agents/introduction" target="_blank">Intro to Shade Agents – NEAR Docs</a></li><li><a class="link" href="https://www.near.org/blog/shade-agents-the-first-truly-autonomous-ai-agents" target="_blank">NEAR Blog: The First Truly Autonomous AI Agents</a></li><li><a class="link" href="https://www.youtube.com/watch?v=4xeyDfWTdIo" target="_blank">Shade Agents Walkthrough with Kendall Cole</a></li><li><a class="link" href="https://www.youtube.com/watch?v=5wr9ltBUm9s" target="_blank">Shade Agents Walkthrough Video with Proximity Labs</a></li></ul>

Create a DAO Reviewer Shade Agent Tutorial

Create a DAO Reviewer Shade Agent Tutorial

Status: Paid

250USDC Total Prizes
250 USDC 1st