SuperClaude_Framework: Skill for Claude Code

Confidence Check Skill

Purpose

Prevents wrong-direction execution by assessing confidence BEFORE starting implementation.

Requirement: ≥90% confidence to proceed with implementation.

Test Results (2025-10-21):

• Precision: 1.000 (no false positives)
• Recall: 1.000 (no false negatives)
• 8/8 test cases passed

When to Use

Use this skill BEFORE implementing any task to ensure:

• No duplicate implementations exist
• Architecture compliance verified
• Official documentation reviewed
• Working OSS implementations found
• Root cause properly identified

Confidence Assessment Criteria

Calculate confidence score (0.0 - 1.0) based on 5 checks:

1. No Duplicate Implementations? (25%)

Check: Search codebase for existing functionality

# Use Grep to search for similar functions
# Use Glob to find related modules

✅ Pass if no duplicates found ❌ Fail if similar implementation exists

2. Architecture Compliance? (25%)

Check: Verify tech stack alignment

• Read CLAUDE.md, PLANNING.md
• Confirm existing patterns used
• Avoid reinventing existing solutions

✅ Pass if uses existing tech stack (e.g., Supabase, UV, pytest) ❌ Fail if introduces new dependencies unnecessarily

3. Official Documentation Verified? (20%)

Check: Review official docs before implementation

• Use Context7 MCP for official docs
• Use WebFetch for documentation URLs
• Verify API compatibility

✅ Pass if official docs reviewed ❌ Fail if relying on assumptions

4. Working OSS Implementations Referenced? (15%)

Check: Find proven implementations

• Use Tavily MCP or WebSearch
• Search GitHub for examples
• Verify working code samples

✅ Pass if OSS reference found ❌ Fail if no working examples

5. Root Cause Identified? (15%)

Check: Understand the actual problem

• Analyze error messages
• Check logs and stack traces
• Identify underlying issue

✅ Pass if root cause clear ❌ Fail if symptoms unclear

Confidence Score Calculation