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rlat-curate

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Human-in-the-loop curation for trusted knowledge

Data & Analytics#curation#trust#human-in-the-loop#knowledge-model#self-audit#source-provenance#rlat
Authortenfingerseddy
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The skill provides a human-in-the-loop front-end for self-audit findings of an rlat knowledge model, enabling users to decide which gaps, contradictions, or stale external facts to accept, modify with a sourced fill, or skip.

Core Features & Use Cases

  • Surface findings from the corpus self-audit tools (rlat-gap-scan, rlat-contradictions, rlat-refresh-facts) and present them for review.
  • Allow the user to Approve a drafted fill, Hand-provide the authoritative fact/source, or Skip.
  • Maintain an explicit provenance and trust tier for each landed item, ensuring accountability and traceability.

Quick Start

Ask the AI to surface the self-audit findings and review each item, then approve, hand-provide a source, or skip to land entries.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: rlat-curate
Download link: https://github.com/tenfingerseddy/resonance-lattice/archive/main.zip#rlat-curate

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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