Confidence Check

Name: Confidence Check
Availability: InStock
Author: bogerpeng

Score pre-implementation readiness across five weighted confidence checks.

Updated Dec 24, 2025

Ready to run

npx skills add https://github.com/bogerpeng/SuperClaude_Framework_internalUse --skill confidence-check-bogerpeng

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Confidence Check
Source: https://github.com/bogerpeng/SuperClaude_Framework_internalUse/tree/main/plugins/superclaude/skills/confidence-check
Command: npx skills add https://github.com/bogerpeng/SuperClaude_Framework_internalUse --skill confidence-check-bogerpeng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces the risk of missteps by validating readiness before starting implementation. It checks for duplicates, architecture alignment, official docs, OSS references, and root-cause clarity, ensuring you only begin when confidence is high.

Core Features & Use Cases

Pre-implementation risk assessment: five checks (duplicates, architecture, docs, OSS references, root-cause) to verify readiness.
Decision guidance: returns a recommended action based on the calculated confidence score.
ROI & governance: helps save tokens and prevent wasted effort by stopping wrong-direction work early.
Use Case: Before starting a new feature, run this Skill to validate clarity, availability of references, and alignment with docs.

Quick Start

Install or call the confidence-check Skill in your automation, supply context (test_file or source location), and read the generated confidence score and recommendation to decide whether to proceed.

Frequently Asked Questions about Confidence Check

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

FAQPage Schema

How do I assess whether my implementation plan is ready to execute?▼

Pre-implementation readiness assessment evaluates five key checks—duplicates, architecture alignment, official documentation, OSS references, and root-cause clarity—to produce a confidence score and go/no-go recommendation before you start coding.

What checks does a confidence assessment cover for software development?▼

Confidence checks validate duplicates (existing solutions), architecture compliance, official docs availability, open-source reference materials, and root-cause understanding. Each check is weighted to aggregate into a numeric confidence score.

Can I use confidence scoring to reduce wasted effort on wrong-direction work?▼

Yes. Confidence scoring flags readiness gaps early, preventing tokens and effort spent on misaligned features. The quantitative score and recommendation help you decide whether to proceed or address gaps first.

How do I run a confidence check before starting a new feature?▼

Supply context (test file or source location) to the Skill, which runs five verification checks and returns a confidence score, list of individual check results, and a recommended action—proceed or pause.

What does a low confidence score mean for my implementation plan?▼

A low score indicates gaps in duplicate detection, architecture alignment, documentation, OSS references, or root-cause clarity. Address the failing checks before implementation to reduce risk of missteps.