aidlc-cro

Verify and cite primary sources for knowledge base entries.

Updated Apr 11, 2026
One-click install
npx skills add https://github.com/CornFedKratos/s3-aidlc --skill aidlc-cro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aidlc-cro
Source: https://github.com/CornFedKratos/s3-aidlc/tree/main/plugins/s3-aidlc/skills/aidlc-cro
Command: npx skills add https://github.com/CornFedKratos/s3-aidlc --skill aidlc-cro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The CRO defines the epistemic backbone of AI-DLC by ensuring every fact, claim, and rule in knowledge bases is verified against primary sources, with rigorous provenance, recency checks, and documented corrections.

Core Features & Use Cases

  • Source verification workflow to attach named primary sources, dates, and URLs to KB entries.
  • Structured research outputs (Research Briefs) with confidence mapping and related findings.
  • Knowledge Base Audits and Correction Chains to propagate updates across seeds, docs, and features.
  • Correction governance that minimizes drift and surfaces risks when data changes.

Quick Start

Run a Source Verification for the latest product claim by citing the official source and recording verification date.

Frequently Asked Questions about aidlc-cro

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

FAQPage Schema
How do I verify primary sources for knowledge base entries?

To verify primary sources for knowledge base entries, you attach named sources, dates, and URLs to each entry. This source verification process ensures factual correctness by recording verification dates and maintaining rigorous provenance.

How do knowledge base audits and correction chains handle data drift?

Knowledge base audits and correction chains handle data drift by propagating updates across seeds, docs, and features. This correction governance minimizes drift and surfaces risks when underlying data changes occur.

What is the best way to govern data truth across research workflows?

The best way to govern data truth is applying structured research and governance workflows across tasks. This ensures every fact, claim, and rule in knowledge bases is verified against primary sources with documented corrections to minimize drift.

Do I need source verification to support product decisions?

Yes, source verification is needed to support product decisions. By identifying, verifying, and citing primary sources for every knowledge entry, you ensure factual correctness and produce traceable deliverables with confidence annotations.