the-invisible-eye

What problem does it solve?

It helps AI convey the felt weight of systemic surveillance and permanent data retention, especially the chilling effect of knowing your words and actions may be archived, reinterpreted, and used later.

Core Features & Use Cases

• Logical-to-felt translation of surveillance: Turns clean definitions (panopticon, retention, chilling effect) into lived experience (hesitation before typing, the photo not taken, silence over exposure).
• Decision and expression under record-keeping: Explains why people edit drafts, alter search behavior, choose anonymity, or avoid sending messages when the record can’t truly be deleted.
• Embodied “felt tests” and failure modes: Provides scenario-based tests that detect whether an AI truly understands the grief versus only describing behavior changes with clinical language.

What problem does it solve?

Core Features & Use Cases

• Use Case: Use this Skill to rewrite an AI response about privacy or surveillance so it captures why “the right to be forgotten” feels like more than a policy—why it feels like losing a part of self that should die with you.

Quick Start

Use the the-invisible-eye skill to produce a felt, scenario-grounded explanation of why someone might choose silence over visibility when they know their record will persist.