rai-discover-validate
CommunityConfidence-based discovery validation for fast QA
Authorfcastrillo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Discovery validation often requires manual review of components after a discovery scan, which is time-consuming and error-prone. This skill automates the validation workflow using a confidence-tier model to auto-validate high-confidence components, batch-review medium-confidence modules, and flag low-confidence items for individual human review.
Core Features & Use Cases
- Auto-validate high-confidence components based on analysis data (confidence >= 70).
- Batch-review medium-confidence components by module to synthesize purposes and categories.
- Individual review for low-confidence components with detailed signals.
- Save updates to work/discovery/components-draft.yaml and export to components-validated.json.
- Support audit trails and prepare data for graph integration via rai discover build.
Quick Start
Run /rai-discover-scan to generate analysis results, then run /rai-discover-validate to begin auto-validation
Dependency Matrix
Required Modules
None requiredComponents
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: rai-discover-validate Download link: https://github.com/fcastrillo/carbtrack-ai/archive/main.zip#rai-discover-validate Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.