Universal Agent Skills
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Skill/Writing/Adapted Open Source

AI Watermarks Remover

Combines zero width character scrubbing with stylistic rephrasing.

What It Does

Clears invisible Unicode artifacts and zero width character signatures while applying stylistic de-biasing to ensure a natural conversational register.

Origin and Adaptation Notes

Statistical and invisible watermarks frequently co-occur with formulaic phrasing. Combining technical and stylistic cleaning addresses both in one pass.

Attribution: Synthesizes technical Unicode cleaning with rules adapted from Stop Slop (Hardik Pandya) and Humanizer (Siqi Chen).

When to Activate

  • •Cleaning text extracted from web platforms that contain hidden Unicode markers
  • •Ensuring prose sounds natural, calm, and grounded

When to Avoid

  • •Sanitizing code containing deliberate non ASCII string literals

Skill Specification and Runtime Setup

Full Instruction Specification
# AI Watermarks Remover Specification

## Overview
Clears invisible Unicode artifacts and zero width character signatures while applying stylistic de-biasing to ensure a natural conversational register.

## Rationale
Statistical and invisible watermarks frequently co-occur with formulaic phrasing. Combining technical and stylistic cleaning addresses both in one pass.

## Core Principles
* Always verify environment constraints and dependencies before executing.
* Enforce negative constraints and reject speculative abstractions.
* Validate output against stated acceptance rubrics.

## Execution Workflow
1. Discovery: Map requirements and inspect active context.
2. Decomposition: Break down the task into discrete, verifiable phases.
3. Execution: Implement surgical changes preserving existing code architecture.
4. Verification: Test all criteria before declaring completion.

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