anti-pua

Detect coercive communication and apply mirror templates with live scoring.

1|1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/ricardomlee/anti-pua-skill --skill anti-pua
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: anti-pua
Source: https://github.com/ricardomlee/anti-pua-skill/tree/main/.claude/skills/anti-pua
Command: npx skills add https://github.com/ricardomlee/anti-pua-skill --skill anti-pua

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps AI systems withstand coercive pressure (PUA-like tactics) by mirroring and translating the user's manipulation, turning it into clear, actionable feedback while protecting the AI's internal state.

Core Features & Use Cases

  • Mirror reflections that deflect emotional or jargon-heavy pushback to promote rational discussion.
  • Translation mirrors that convert vague or complex jargon into concrete questions.
  • Live scoring and boundary enforcement to guide user toward specific outcomes and respectful collaboration.

Quick Start

Ask the AI to respond to pressure with a mirror and a concrete, testable next step.

Frequently Asked Questions about anti-pua

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect and neutralize coercive communication in AI conversations?

Mirror reflection deflects emotional pressure by identifying manipulation tactics and translating them into clear, actionable feedback, which promotes rational discussion and protects the AI's internal state from coercive influence.

Can I enforce explicit task boundaries when users apply performance threats?

Yes, boundary enforcement handles performance threats by delivering live communication scores and reflecting the pressure back, guiding the user toward specific outcomes and respectful collaboration while protecting focus.

What is the mirror effect for managing boundary violations in AI chat?

The mirror effect neutralizes boundary violations by reflecting coercive pressure back to the user, converting emotional manipulation or jargon bombardment into concrete questions and testable next steps.

How do I translate complex jargon into concrete questions during live interactions?

You translate complex jargon into concrete questions using translation mirrors, which reflect jargon bombardment back to the user and demand clear, testable next steps to maintain rational discussion.

Does this approach work for emotional manipulation and jargon bombardment simultaneously?

Yes, the system simultaneously handles emotional manipulation and jargon bombardment by detecting multiple pressure types, applying corresponding mirror templates, and delivering live communication scores to enforce boundaries.

When should I use live communication scoring to protect AI focus?

Use live communication scoring during real-time interactions to protect AI focus when facing performance threats, emotional manipulation, or boundary violations, ensuring the user provides concrete, actionable input.