rlat-curate

Name: rlat-curate
Availability: InStock
Author: tenfingerseddy

Triage self-audit findings for an rlat knowledge model with human approval.

16|1|Updated Apr 9, 2026

Search Tags:#curation #trust #human-in-the-loop #knowledge-model #self-audit #source-provenance #rlat

Ready to run

npx skills add https://github.com/tenfingerseddy/resonance-lattice --skill rlat-curate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rlat-curate
Source: https://github.com/tenfingerseddy/resonance-lattice/tree/main/.claude/skills/rlat-curate
Command: npx skills add https://github.com/tenfingerseddy/resonance-lattice --skill rlat-curate

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about rlat-curate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is human-in-the-loop curation for a knowledge model?▼

Human-in-the-loop curation for a knowledge model is the process of surfacing self-audit findings like gaps and contradictions, allowing users to review and approve, hand-provide sources, or skip each item to ensure trusted updates.

How do I triage contradictions and stale facts in a knowledge model?▼

To triage contradictions and stale facts in a knowledge model, surface self-audit findings and evaluate each item to approve drafted fills, hand-provide authoritative sources, or skip entries to maintain source provenance and trust.

How can I ensure only sourced updates are added to my knowledge model?▼

To ensure only sourced updates are added to your knowledge model, apply faithfulness gating and provenance tracking during human-in-the-loop curation to verify that every landed item maintains an explicit trust tier and accountability.

What's the best way to review self-audit findings for gaps and stale external facts?▼

The best way to review self-audit findings for gaps and stale external facts is to surface them sequentially, evaluating each contradiction to approve, hand-provide a source, or skip before landing the sanctioned updates.

Does knowledge model curation support tracking source provenance and trust tiers?▼

Knowledge model curation does support tracking source provenance and trust tiers by enforcing faithfulness gating, ensuring that every landed item from the self-audit review maintains explicit accountability and traceability.

When should I skip a finding during knowledge model curation?▼

You should skip a finding during knowledge model curation when the surfaced gap, contradiction, or stale external fact cannot be immediately verified or backed by an authoritative source, deferring the update to maintain trust.