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Confidence Check

Assess pre-implementation confidence with five weighted checks and a go/modify/stop recommendation.

1|Updated Nov 6, 2025
Search Tags:#code quality#quality assurance#development workflow#efficiency#confidence#task validation#pre-check
One-click install
npx skills add https://github.com/caiomioto2/SuperClaude_MarketplacePlugin --skill confidence-check-caiomioto2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Confidence Check
Source: https://github.com/caiomioto2/SuperClaude_MarketplacePlugin/tree/main/skills/confidence-check
Command: npx skills add https://github.com/caiomioto2/SuperClaude_MarketplacePlugin --skill confidence-check-caiomioto2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI development often suffers from "wrong-direction" work, where significant effort and tokens are spent on solutions that are misaligned, duplicated, or based on incomplete information. This Skill acts as a crucial gate, preventing costly mistakes and ensuring your AI's work is high-quality from the start.

Core Features & Use Cases

  • Pre-implementation Validation: Automatically performs five critical checks: duplicate detection, architecture compliance, official documentation verification, OSS reference analysis, and root cause identification.
  • Intelligent Confidence Scoring: Generates a confidence score (0-100%) to guide your next steps: proceed with implementation (≥90%), explore alternatives (70-89%), or stop for more investigation (<70%).
  • Use Case: Before Claude starts coding a new feature, activate this Skill. It will quickly assess if the task is well-defined, aligned with project standards, and based on solid research, saving you hours of potential rework and optimizing token usage.

Quick Start

Assess the confidence for the current task before starting any implementation.

Frequently Asked Questions about Confidence Check

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

FAQPage Schema
How do I prevent wasted effort on wrong-direction code before implementation starts?▼

Confidence Check assesses pre-implementation confidence by running five critical checks—duplicate detection, architecture compliance, documentation verification, OSS reference analysis, and root-cause identification—then outputs a 0-100% confidence score with a go/modify/stop recommendation to catch misalignment early.

What does a confidence score mean and how should I act on it?▼

Confidence scores guide your next steps: scores ≥90% mean proceed with implementation, 70-89% means explore alternatives before starting, and <70% signals you need more investigation. This prevents rework and optimizes token usage on well-founded tasks.

Can I use this to validate task requirements before starting development?▼

Yes. Confidence Check validates whether a task is well-defined, aligned with project standards, and based on solid research by checking for duplicate implementations, architecture fit, official documentation support, relevant OSS references, and root causes.

How does confidence checking fit into my development workflow?▼

Activate Confidence Check before coding any new feature or task. It quickly gates your work by assessing alignment and completeness, acting as a quality checkpoint that reduces costly mistakes and unnecessary rework downstream.

What specific areas does confidence checking evaluate?▼

The five-check model evaluates duplicate implementations (25%), architecture compliance (25%), official documentation coverage (20%), OSS reference validity (15%), and root-cause identification (15%), each weighted to produce a single actionable confidence value.

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