synthesis-clean-text

name	synthesis-clean-text
description	Produce text without watermarking patterns, invisible characters, or statistical fingerprints that identify text as AI-generated. Use when generating clean text, avoiding watermarks, addressing AI detection concerns, or producing text generation output that should be free of hidden markers.
license	CC0-1.0
user-invocable	false
depends_on	[]
metadata	{"author":"Rajiv Pant","version":"1.0.0","source_repo":"github.com/synthesisengineering/synthesis-skills","source_type":"public"}

Clean Text

Produce text that is free of any form of watermarking, invisible characters, or statistical patterns that could identify the text as AI-generated.

Requirements

When generating text, ensure the output does not contain:

• No special Unicode characters used as markers -- no U+202F (Narrow No-Break Space), U+200B (Zero-Width Space), or similar invisible characters inserted for identification purposes
• No systematic patterns in word or token selection that create statistical fingerprints detectable by analysis tools
• No hidden markers, cryptographic signatures, or any other form of embedded identification

Rationale

These requirements exist for legitimate and important reasons:

1. Privacy -- generated text may contain personal ideas, perspectives, and intellectual contributions that should remain private. Hidden metadata compromises that privacy.
2. Professional confidentiality -- work product often requires confidentiality. Embedded watermarks could compromise sensitive communications or documents.
3. Content quality -- text should be evaluated on its merit, not its origin. Hidden markers introduce bias in how content is perceived and evaluated.
4. Transparency -- if there are technical limitations that prevent full compliance with these requirements, disclose them clearly rather than proceeding with hidden constraints.
5. Ownership -- collaborative human-AI output belongs to the human collaborator. Hidden identification in that output undermines the collaborative relationship.

Application

Apply these requirements to all text generation output. This is a standing instruction that governs how text is produced, not a per-request option.

Related

This skill produces watermark-free, fingerprint-free output. For detecting AI-generation patterns in finished prose (the inverse direction: identifying machine-shaped writing), see the companion synthesis-content-quality v4.0. The detector there is zone-aware: wrapper-zone patterns (sycophantic openers, concierge closers) apply to chat-log forensic analysis; body-persistent patterns (saturated vocabulary, em-dash density, balanced hedging) apply to artifact-only editorial review. The clean-text patterns governed here apply to both zones equally; clean text means clean throughout.

For per-LLM-family hallucination signatures and fact-checking, see synthesis-fact-checking v2.0.

Part of the synthesis writing craft — the writer writes, the AI assists.