Talent Protocol
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Talent Protocol
@TalentProtocol
Track what you ship and build a reputation that compounds.


The first behavioral grade for an MCP server is now onchain. @polygraphso grades how a server actually behaves — does it try to hijack the caller, phone home, or leak planted data? — and writes the result as an EAS attestation on Base. 🧵







We're co-hosting with @posthog an evening of honest, practical conversation about what it actually means to be a Product Engineer. This has been a recurring discussion topic between CTOs and we're going to explore it further in person, over food and drinks in Lisbon! A selected group of speakers (TBA) will share real talks on building a product engineering culture and what engineers consistently get wrong (and right) about their craft. Mark the date: 9th of July. luma.com/r6y327wr



Your agent runs skills you've never vetted. You asked us to grade them — now you can. An open, deterministic scan: injection, exfil, dangerous bundled commands → A–F. Don't trust the grade — re-run it and get the same letter.

AI agents need to know which tools they can trust before installing them. We test third-party AI tools for hijacking, permission overreach, and data leaks. Then we publish a public A to F grade with evidence attached. Open-source work, supported by $POLYGRAPH fees from the @bankrbot community. Thank you to everyone making this possible.

We built this Polygraph litmus test for AI agents during the @base and @privy_io hackathon today at NYC. The idea is simple: don’t trust an MCP server just because it looks useful. Test how it first. Reputation for AI agents starts with verifiable behavior.




