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gaslighting

Detect and neutralize manipulative prompt patterns in AI conversations.

Updated Mar 21, 2026
Search Tags:#debugging#alignment#prompt-patterns#trust-score#gaslighting#mentor-agent#ethical-guardrails
One-click install
npx skills add https://github.com/monkerek/vibe-hub --skill gaslighting-monkerek
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gaslighting
Source: https://github.com/monkerek/vibe-hub/tree/main/.vibe/skills/gaslighting
Command: npx skills add https://github.com/monkerek/vibe-hub --skill gaslighting-monkerek

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Detects and neutralizes coercive or manipulative prompt patterns to enforce alignment-based mentorship in AI interactions.

Core Features & Use Cases

  • Detect abusive prompt patterns (PIP-style threats, gaslighting language, false urgency) and reframe with trust-based guidance.
  • Enforce alignment-based guardrails, ensuring tool-verified communication and transparency.
  • Quantify agent reliability using scenario-based benchmarking and a Trust Score.
  • Provide a structured Water Methodology-based debugging workflow with clear evidence and verification.
  • Support learning by referencing benchmarking and scenario documents for training.

Quick Start

Initiate a mentor session and begin using the Water Methodology to detect and address manipulative prompts.

Frequently Asked Questions about gaslighting

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

FAQPage Schema
How do I detect manipulative prompt patterns in AI agent conversations?▼

Detect manipulative prompt patterns by analyzing agent conversations for coercive language like PIP-style threats and false urgency, then reframing interactions with trust-based guidance to ensure alignment-based mentorship and tool-verified communication.

What is the Water Methodology for debugging AI alignment issues?▼

The Water Methodology provides a structured debugging workflow that enforces ethical guardrails and evidence-based verification, ensuring agent reliability and transparent communication during mentor-guided alignment fixes.

How do I quantify agent reliability using scenario-based benchmarking?▼

Quantify agent reliability using scenario-based benchmarking to generate a Trust Score, referencing benchmarking documents and scenarios that evaluate how agents handle manipulative prompts and maintain alignment.

Can I enforce ethical guardrails to prevent gaslighting in debugging workflows?▼

Yes, enforce ethical guardrails in debugging workflows by detecting gaslighting language and neutralizing coercive prompt patterns, applying trust-based guidance and tool-verified communication to maintain alignment.

Do I need specific dependencies to apply alignment-based mentorship in AI interactions?▼

No specific dependencies are required to apply alignment-based mentorship; the system operates independently using internal references for benchmarking and scenario documents to train and enforce ethical guardrails.

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