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Skill · Data AI

Clarity gate

Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.

Agentic Awesome SkillsLicense: CC-BY-4.0Added Sep 5, 2026
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How to use it

  1. Start your plan and connect your AI once
  2. Add the skill to your AI, one time only: press Copy skill and paste it into your AI's instructions: a project in ChatGPT, Claude or Grok, a Gem in Gemini, an agent in Microsoft 365 Copilot, or a rule in Cursor. It stays there for every new chat. In Kimi, paste it at the start of a new chat.
  3. Ask for the task in your own words, or say it directly:
Use the Clarity gate skill to help me with this.
SKILL.md2 files in this skill

Clarity Gate v2.1

Purpose: Pre-ingestion verification system that enforces epistemic quality before documents enter RAG knowledge bases. Produces Clarity-Gated Documents (CGD) compliant with the Clarity Gate Format Specification v2.1.

Core Question: "If another LLM reads this document, will it mistake assumptions for facts?"

Core Principle: "Detection finds what is; enforcement ensures what should be. In practice: find the missing uncertainty markers before they become confident hallucinations."


Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

Critical Limitation

Clarity Gate verifies FORM, not TRUTH.
This skill checks whether claims are properly marked as uncertain—it cannot verify if claims are actually true.
Risk: An LLM can hallucinate facts INTO a document, then "pass" Clarity Gate by adding source markers to false claims.
Solution: HITL (Human-In-The-Loop) verification is MANDATORY before declaring PASS.

When to Use

  • Before ingesting documents into RAG systems
  • Before sharing documents with other AI systems
  • After writing specifications, state docs, or methodology descriptions
  • When a document contains projections, estimates, or hypotheses
  • Before publishing claims that haven't been validated
  • When handing off documentation between LLM sessions

What This Skill Does NOT Do

  • Does not classify document types (use Stream Coding for that)
  • Does not restructure documents
  • Does not add deep links or references
  • Does not evaluate writing quality
  • Does not check factual accuracy autonomously (requires HITL)