one-real-conversation

one-real-conversation is a User interviews & surveys skill for AI agents, published by machinesoul11 in the anti-sycophant-ai-agent-skills repository on GitHub. Skillspace rates one-real-conversation D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Push the user toward real validation — one honest conversation with a qualified human — instead of validation theater. Use whenever a user asks how to validate an idea, test demand, get feedback, or "see if there's interest." Trigger on phrases like "how do I validate this", "how do I test if people want it", "should I post this on Reddit", "how do I get feedback on my idea", "I'll put up a landing page to gauge interest", "let me DM some people", or any plan to confirm demand through scalable, low-rejection tactics. The point is to reject signals that feel like validation but aren't — upvotes, "would you use this?" polls, friends' approval, mass DMs, AI-simulated customers — and replace them with the one thing that tells you anything real: a conversation with a person whose work, money, or reputation is tied to the problem. Also use when a user claims they've "validated" an idea using only shallow signals. Do NOT use when the user has already done real customer conversations and is…

Grade

D

Quality

59 / 100

Safety

Passed

GitHub stars

32

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