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skills/retrospective-validation/reference/confidence.md
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skills/retrospective-validation/reference/confidence.md
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# Confidence Scoring Methodology
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**Version**: 1.0
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**Purpose**: Quantify validation confidence for methodologies
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**Range**: 0.0-1.0 (threshold: 0.80 for production)
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---
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## Confidence Formula
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```
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Confidence = 0.4 × coverage +
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0.3 × validation_sample_size +
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0.2 × pattern_consistency +
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0.1 × expert_review
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Where all components ∈ [0, 1]
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```
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---
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## Component 1: Coverage (40% weight)
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**Definition**: Percentage of cases methodology handles
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**Calculation**:
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```
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coverage = handled_cases / total_cases
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```
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**Example** (Error Recovery):
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```
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coverage = 1275 classified / 1336 total
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= 0.954
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```
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**Thresholds**:
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- 0.95-1.0: Excellent (comprehensive)
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- 0.80-0.94: Good (most cases covered)
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- 0.60-0.79: Fair (significant gaps)
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- <0.60: Poor (incomplete)
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---
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## Component 2: Validation Sample Size (30% weight)
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**Definition**: How much data was used for validation
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**Calculation**:
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```
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validation_sample_size = min(validated_count / 50, 1.0)
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```
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**Rationale**: 50+ validated cases provides statistical confidence
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**Example** (Error Recovery):
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```
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validation_sample_size = min(1336 / 50, 1.0)
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= min(26.72, 1.0)
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= 1.0
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```
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**Thresholds**:
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- 50+ cases: 1.0 (high confidence)
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- 20-49 cases: 0.4-0.98 (medium confidence)
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- 10-19 cases: 0.2-0.38 (low confidence)
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- <10 cases: <0.2 (insufficient data)
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---
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## Component 3: Pattern Consistency (20% weight)
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**Definition**: Success rate when patterns are applied
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**Calculation**:
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```
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pattern_consistency = successful_applications / total_applications
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```
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**Measurement**:
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1. Apply each pattern to 5-10 representative cases
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2. Count successes (problem solved correctly)
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3. Calculate success rate per pattern
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4. Average across all patterns
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**Example** (Error Recovery):
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```
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Pattern 1 (Fix-and-Retry): 9/10 = 0.90
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Pattern 2 (Test Fixture): 10/10 = 1.0
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Pattern 3 (Path Correction): 8/10 = 0.80
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...
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Pattern 10 (Permission Fix): 10/10 = 1.0
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Average: 91/100 = 0.91
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```
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**Thresholds**:
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- 0.90-1.0: Excellent (reliable patterns)
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- 0.75-0.89: Good (mostly reliable)
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- 0.60-0.74: Fair (needs refinement)
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- <0.60: Poor (unreliable)
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---
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## Component 4: Expert Review (10% weight)
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**Definition**: Binary validation by domain expert
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**Values**:
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- 1.0: Reviewed and approved by expert
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- 0.5: Partially reviewed or peer-reviewed
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- 0.0: Not reviewed
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**Review Criteria**:
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1. Patterns are correct and complete
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2. No critical gaps identified
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3. Transferability claims validated
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4. Automation tools tested
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5. Documentation is accurate
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**Example** (Error Recovery):
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```
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expert_review = 1.0 (fully reviewed and validated)
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```
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---
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## Complete Example: Error Recovery
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**Component Values**:
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```
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coverage = 1275/1336 = 0.954
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validation_sample_size = min(1336/50, 1.0) = 1.0
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pattern_consistency = 91/100 = 0.91
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expert_review = 1.0 (reviewed)
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```
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**Confidence Calculation**:
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```
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Confidence = 0.4 × 0.954 +
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0.3 × 1.0 +
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0.2 × 0.91 +
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0.1 × 1.0
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= 0.382 + 0.300 + 0.182 + 0.100
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= 0.964
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```
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**Interpretation**: **96.4% confidence** (High - Production Ready)
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---
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## Confidence Bands
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### High Confidence (0.80-1.0)
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**Characteristics**:
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- ≥80% coverage
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- ≥20 validated cases
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- ≥75% pattern consistency
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- Reviewed by expert
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**Actions**: Deploy to production, recommend broadly
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**Example Methodologies**:
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- Error Recovery (0.96)
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- Testing Strategy (0.87)
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- CI/CD Pipeline (0.85)
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---
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### Medium Confidence (0.60-0.79)
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**Characteristics**:
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- 60-79% coverage
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- 10-19 validated cases
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- 60-74% pattern consistency
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- May lack expert review
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**Actions**: Use with caution, monitor results, refine gaps
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**Example**:
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- New methodology with limited validation
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- Partial coverage of domain
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---
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### Low Confidence (<0.60)
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**Characteristics**:
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- <60% coverage
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- <10 validated cases
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- <60% pattern consistency
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- Not reviewed
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**Actions**: Do not use in production, requires significant refinement
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**Example**:
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- Untested methodology
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- Insufficient validation data
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---
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## Adjustments for Domain Complexity
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**Adjust thresholds for complex domains**:
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**Simple Domain** (e.g., file operations):
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- Target: 0.85+ (higher expectations)
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- Coverage: ≥90%
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- Patterns: 3-5 sufficient
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**Medium Domain** (e.g., testing):
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- Target: 0.80+ (standard)
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- Coverage: ≥80%
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- Patterns: 6-8 typical
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**Complex Domain** (e.g., distributed systems):
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- Target: 0.75+ (realistic)
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- Coverage: ≥70%
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- Patterns: 10-15 needed
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---
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## Confidence Over Time
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**Track confidence across iterations**:
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```
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Iteration 0: N/A (baseline only)
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Iteration 1: 0.42 (low - initial patterns)
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Iteration 2: 0.63 (medium - expanded)
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Iteration 3: 0.79 (approaching target)
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Iteration 4: 0.88 (high - converged)
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Iteration 5: 0.87 (stable)
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```
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**Convergence**: Confidence stable ±0.05 for 2 iterations
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---
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## Confidence vs. V_meta
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**Different but related**:
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**V_meta**: Methodology quality (completeness, transferability, automation)
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**Confidence**: Validation strength (how sure we are V_meta is accurate)
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**Relationship**:
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- High V_meta, Low Confidence: Good methodology, insufficient validation
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- High V_meta, High Confidence: Production-ready
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- Low V_meta, High Confidence: Well-validated but incomplete methodology
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- Low V_meta, Low Confidence: Needs significant work
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---
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## Reporting Template
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```markdown
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## Validation Confidence Report
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**Methodology**: [Name]
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**Version**: [X.Y]
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**Validation Date**: [YYYY-MM-DD]
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### Confidence Score: [X.XX]
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**Components**:
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- Coverage: [X.XX] ([handled]/[total] cases)
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- Sample Size: [X.XX] ([count] validated cases)
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- Pattern Consistency: [X.XX] ([successes]/[applications])
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- Expert Review: [X.XX] ([status])
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**Confidence Band**: [High/Medium/Low]
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**Recommendation**: [Deploy/Refine/Rework]
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**Gaps Identified**:
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1. [Gap description]
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2. [Gap description]
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**Next Steps**:
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1. [Action item]
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2. [Action item]
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```
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---
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## Automation
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**Confidence Calculator**:
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```bash
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#!/bin/bash
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# scripts/calculate-confidence.sh
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METHODOLOGY=$1
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HISTORY=$2
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# Calculate coverage
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coverage=$(calculate_coverage "$METHODOLOGY" "$HISTORY")
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# Calculate sample size
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sample_size=$(count_validated_cases "$HISTORY")
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sample_score=$(echo "scale=2; if ($sample_size >= 50) 1.0 else $sample_size/50" | bc)
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# Calculate pattern consistency
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consistency=$(measure_pattern_consistency "$METHODOLOGY")
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# Expert review (manual input)
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expert_review=${3:-0.0}
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# Calculate confidence
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confidence=$(echo "scale=3; 0.4*$coverage + 0.3*$sample_score + 0.2*$consistency + 0.1*$expert_review" | bc)
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echo "Confidence: $confidence"
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echo " Coverage: $coverage"
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echo " Sample Size: $sample_score"
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echo " Consistency: $consistency"
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echo " Expert Review: $expert_review"
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```
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---
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**Source**: BAIME Retrospective Validation Framework
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**Status**: Production-ready, validated across 13 methodologies
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**Average Confidence**: 0.86 (median 0.87)
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399
skills/retrospective-validation/reference/detection-rules.md
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skills/retrospective-validation/reference/detection-rules.md
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# Automated Detection Rules
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**Version**: 1.0
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**Purpose**: Automated error pattern detection for validation
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**Coverage**: 95.4% of 1336 historical errors
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---
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## Rule Engine
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**Architecture**:
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```
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Session JSONL → Parser → Classifier → Pattern Matcher → Report
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```
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**Components**:
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1. **Parser**: Extract tool calls, errors, timestamps
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2. **Classifier**: Categorize errors by signature
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3. **Pattern Matcher**: Apply recovery patterns
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4. **Reporter**: Generate validation metrics
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---
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## Detection Rules (13 Categories)
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### 1. Build/Compilation Errors
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**Signature**:
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```regex
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(syntax error|undefined:|cannot find|compilation failed)
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```
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**Detection Logic**:
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```python
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def detect_build_error(tool_call):
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if tool_call.tool != "Bash":
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return False
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error_patterns = [
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r"syntax error",
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r"undefined:",
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r"cannot find",
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r"compilation failed"
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]
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return any(re.search(p, tool_call.error, re.I)
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for p in error_patterns)
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```
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**Frequency**: 15.0% (200/1336)
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**Priority**: P1 (high impact)
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---
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### 2. Test Failures
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**Signature**:
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```regex
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(FAIL|test.*failed|assertion.*failed)
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```
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**Detection Logic**:
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```python
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def detect_test_failure(tool_call):
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if "test" not in tool_call.command.lower():
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return False
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return re.search(r"FAIL|failed", tool_call.output, re.I)
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```
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**Frequency**: 11.2% (150/1336)
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**Priority**: P2 (medium impact)
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---
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### 3. File Not Found
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**Signature**:
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```regex
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(no such file|file not found|cannot open)
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```
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**Detection Logic**:
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```python
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def detect_file_not_found(tool_call):
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patterns = [
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r"no such file",
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r"file not found",
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r"cannot open"
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]
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return any(re.search(p, tool_call.error, re.I)
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for p in patterns)
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```
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**Frequency**: 18.7% (250/1336)
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**Priority**: P1 (preventable with validation)
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**Automation**: validate-path.sh prevents 65.2%
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---
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### 4. File Size Exceeded
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**Signature**:
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```regex
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(file too large|exceeds.*limit|size.*exceeded)
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```
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**Detection Logic**:
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```python
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def detect_file_size_error(tool_call):
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if tool_call.tool not in ["Read", "Edit"]:
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return False
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return re.search(r"file too large|exceeds.*limit",
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tool_call.error, re.I)
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```
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**Frequency**: 6.3% (84/1336)
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**Priority**: P1 (100% preventable)
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**Automation**: check-file-size.sh prevents 100%
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---
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### 5. Write Before Read
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**Signature**:
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```regex
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(must read before|file not read|write.*without.*read)
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```
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**Detection Logic**:
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```python
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def detect_write_before_read(session):
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for i, call in enumerate(session.tool_calls):
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if call.tool in ["Edit", "Write"] and call.status == "error":
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# Check if file was read in previous N calls
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lookback = session.tool_calls[max(0, i-5):i]
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if not any(c.tool == "Read" and
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c.file_path == call.file_path
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for c in lookback):
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return True
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return False
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```
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**Frequency**: 5.2% (70/1336)
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**Priority**: P1 (100% preventable)
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**Automation**: check-read-before-write.sh prevents 100%
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---
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### 6. Command Not Found
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**Signature**:
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```regex
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(command not found|not recognized|no such command)
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```
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**Detection Logic**:
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```python
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def detect_command_not_found(tool_call):
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if tool_call.tool != "Bash":
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return False
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return re.search(r"command not found", tool_call.error, re.I)
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```
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**Frequency**: 3.7% (50/1336)
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**Priority**: P3 (low automation value)
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||||
|
||||
---
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||||
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||||
### 7. JSON Parsing Errors
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|
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**Signature**:
|
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```regex
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(invalid json|parse.*error|malformed json)
|
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```
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|
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**Detection Logic**:
|
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```python
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def detect_json_error(tool_call):
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return re.search(r"invalid json|parse.*error|malformed",
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tool_call.error, re.I)
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```
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**Frequency**: 6.0% (80/1336)
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**Priority**: P2 (medium impact)
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||||
|
||||
---
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||||
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### 8. Request Interruption
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|
||||
**Signature**:
|
||||
```regex
|
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(interrupted|cancelled|aborted)
|
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```
|
||||
|
||||
**Detection Logic**:
|
||||
```python
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def detect_interruption(tool_call):
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return re.search(r"interrupted|cancelled|aborted",
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tool_call.error, re.I)
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```
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||||
**Frequency**: 2.2% (30/1336)
|
||||
**Priority**: P3 (user-initiated, not preventable)
|
||||
|
||||
---
|
||||
|
||||
### 9. MCP Server Errors
|
||||
|
||||
**Signature**:
|
||||
```regex
|
||||
(mcp.*error|server.*unavailable|connection.*refused)
|
||||
```
|
||||
|
||||
**Detection Logic**:
|
||||
```python
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def detect_mcp_error(tool_call):
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if not tool_call.tool.startswith("mcp__"):
|
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return False
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|
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patterns = [
|
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r"server.*unavailable",
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r"connection.*refused",
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r"timeout"
|
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]
|
||||
|
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return any(re.search(p, tool_call.error, re.I)
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||||
for p in patterns)
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||||
```
|
||||
|
||||
**Frequency**: 17.1% (228/1336)
|
||||
**Priority**: P2 (infrastructure)
|
||||
|
||||
---
|
||||
|
||||
### 10. Permission Denied
|
||||
|
||||
**Signature**:
|
||||
```regex
|
||||
(permission denied|access denied|forbidden)
|
||||
```
|
||||
|
||||
**Detection Logic**:
|
||||
```python
|
||||
def detect_permission_error(tool_call):
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return re.search(r"permission denied|access denied",
|
||||
tool_call.error, re.I)
|
||||
```
|
||||
|
||||
**Frequency**: 0.7% (10/1336)
|
||||
**Priority**: P3 (rare)
|
||||
|
||||
---
|
||||
|
||||
### 11. Empty Command String
|
||||
|
||||
**Signature**:
|
||||
```regex
|
||||
(empty command|no command|command required)
|
||||
```
|
||||
|
||||
**Detection Logic**:
|
||||
```python
|
||||
def detect_empty_command(tool_call):
|
||||
if tool_call.tool != "Bash":
|
||||
return False
|
||||
|
||||
return not tool_call.parameters.get("command", "").strip()
|
||||
```
|
||||
|
||||
**Frequency**: 1.1% (15/1336)
|
||||
**Priority**: P2 (easy to prevent)
|
||||
|
||||
---
|
||||
|
||||
### 12. Go Module Already Exists
|
||||
|
||||
**Signature**:
|
||||
```regex
|
||||
(module.*already exists|go.mod.*exists)
|
||||
```
|
||||
|
||||
**Detection Logic**:
|
||||
```python
|
||||
def detect_module_exists(tool_call):
|
||||
if tool_call.tool != "Bash":
|
||||
return False
|
||||
|
||||
return (re.search(r"go mod init", tool_call.command) and
|
||||
re.search(r"already exists", tool_call.error, re.I))
|
||||
```
|
||||
|
||||
**Frequency**: 0.4% (5/1336)
|
||||
**Priority**: P3 (rare)
|
||||
|
||||
---
|
||||
|
||||
### 13. String Not Found (Edit)
|
||||
|
||||
**Signature**:
|
||||
```regex
|
||||
(string not found|no match|pattern.*not found)
|
||||
```
|
||||
|
||||
**Detection Logic**:
|
||||
```python
|
||||
def detect_string_not_found(tool_call):
|
||||
if tool_call.tool != "Edit":
|
||||
return False
|
||||
|
||||
return re.search(r"string not found|no match",
|
||||
tool_call.error, re.I)
|
||||
```
|
||||
|
||||
**Frequency**: 3.2% (43/1336)
|
||||
**Priority**: P1 (impacts workflow)
|
||||
|
||||
---
|
||||
|
||||
## Composite Detection
|
||||
|
||||
**Multi-stage errors**:
|
||||
```python
|
||||
def detect_cascading_error(session):
|
||||
"""Detect errors that cause subsequent errors"""
|
||||
|
||||
for i in range(len(session.tool_calls) - 1):
|
||||
current = session.tool_calls[i]
|
||||
next_call = session.tool_calls[i + 1]
|
||||
|
||||
# File not found → Write → Edit chain
|
||||
if (detect_file_not_found(current) and
|
||||
next_call.tool == "Write" and
|
||||
current.file_path == next_call.file_path):
|
||||
return "file-not-found-recovery"
|
||||
|
||||
# Build error → Fix → Rebuild chain
|
||||
if (detect_build_error(current) and
|
||||
next_call.tool in ["Edit", "Write"] and
|
||||
detect_build_error(session.tool_calls[i + 2])):
|
||||
return "build-error-incomplete-fix"
|
||||
|
||||
return None
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Validation Metrics
|
||||
|
||||
**Overall Coverage**:
|
||||
```
|
||||
Coverage = (Σ detected_errors) / total_errors
|
||||
= 1275 / 1336
|
||||
= 95.4%
|
||||
```
|
||||
|
||||
**Per-Category Accuracy**:
|
||||
- True Positives: 1265 (99.2%)
|
||||
- False Positives: 10 (0.8%)
|
||||
- False Negatives: 61 (4.6%)
|
||||
|
||||
**Precision**: 99.2%
|
||||
**Recall**: 95.4%
|
||||
**F1 Score**: 97.3%
|
||||
|
||||
---
|
||||
|
||||
## Usage
|
||||
|
||||
**CLI**:
|
||||
```bash
|
||||
# Classify all errors in session
|
||||
meta-cc classify-errors session.jsonl
|
||||
|
||||
# Validate methodology against history
|
||||
meta-cc validate \
|
||||
--methodology error-recovery \
|
||||
--history .claude/sessions/*.jsonl
|
||||
```
|
||||
|
||||
**MCP**:
|
||||
```python
|
||||
# Query by error category
|
||||
query_tools(status="error")
|
||||
|
||||
# Get error context
|
||||
query_context(error_signature="file-not-found")
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Source**: Bootstrap-003 Error Recovery (1336 errors analyzed)
|
||||
**Status**: Production-ready, 95.4% coverage, 97.3% F1 score
|
||||
210
skills/retrospective-validation/reference/process.md
Normal file
210
skills/retrospective-validation/reference/process.md
Normal file
@@ -0,0 +1,210 @@
|
||||
# Retrospective Validation Process
|
||||
|
||||
**Version**: 1.0
|
||||
**Framework**: BAIME
|
||||
**Purpose**: Validate methodologies against historical data post-creation
|
||||
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
Retrospective validation applies a newly created methodology to historical work to measure effectiveness and identify gaps. This validates that the methodology would have improved past outcomes.
|
||||
|
||||
---
|
||||
|
||||
## Validation Process
|
||||
|
||||
### Phase 1: Data Collection (15 min)
|
||||
|
||||
**Gather historical data**:
|
||||
- Session history (JSONL files)
|
||||
- Error logs and recovery attempts
|
||||
- Time measurements
|
||||
- Quality metrics
|
||||
|
||||
**Tools**:
|
||||
```bash
|
||||
# Query session data
|
||||
query_tools --status=error
|
||||
query_user_messages --pattern="error|fail|bug"
|
||||
query_context --error-signature="..."
|
||||
```
|
||||
|
||||
### Phase 2: Baseline Measurement (15 min)
|
||||
|
||||
**Measure pre-methodology state**:
|
||||
- Error frequency by category
|
||||
- Mean Time To Recovery (MTTR)
|
||||
- Prevention opportunities missed
|
||||
- Quality metrics
|
||||
|
||||
**Example**:
|
||||
```markdown
|
||||
## Baseline (Without Methodology)
|
||||
|
||||
**Errors**: 1336 total
|
||||
**MTTR**: 11.25 min average
|
||||
**Prevention**: 0% (no automation)
|
||||
**Classification**: Ad-hoc, inconsistent
|
||||
```
|
||||
|
||||
### Phase 3: Apply Methodology (30 min)
|
||||
|
||||
**Retrospectively apply patterns**:
|
||||
1. Classify errors using new taxonomy
|
||||
2. Identify which patterns would apply
|
||||
3. Calculate time saved per pattern
|
||||
4. Measure coverage improvement
|
||||
|
||||
**Example**:
|
||||
```markdown
|
||||
## With Error Recovery Methodology
|
||||
|
||||
**Classification**: 1275/1336 = 95.4% coverage
|
||||
**Patterns Applied**: 10 recovery patterns
|
||||
**Time Saved**: 8.25 min per error average
|
||||
**Prevention**: 317 errors (23.7%) preventable
|
||||
```
|
||||
|
||||
### Phase 4: Calculate Impact (20 min)
|
||||
|
||||
**Metrics**:
|
||||
```
|
||||
Coverage = classified_errors / total_errors
|
||||
Time_Saved = (MTTR_before - MTTR_after) × error_count
|
||||
Prevention_Rate = preventable_errors / total_errors
|
||||
ROI = time_saved / methodology_creation_time
|
||||
```
|
||||
|
||||
**Example**:
|
||||
```markdown
|
||||
## Impact Analysis
|
||||
|
||||
**Coverage**: 95.4% (1275/1336)
|
||||
**Time Saved**: 8.25 min × 1336 = 183.6 hours
|
||||
**Prevention**: 23.7% (317 errors)
|
||||
**ROI**: 183.6h saved / 5.75h invested = 31.9x
|
||||
```
|
||||
|
||||
### Phase 5: Gap Analysis (15 min)
|
||||
|
||||
**Identify remaining gaps**:
|
||||
- Uncategorized errors (4.6%)
|
||||
- Patterns needed for edge cases
|
||||
- Automation opportunities
|
||||
- Transferability limits
|
||||
|
||||
---
|
||||
|
||||
## Confidence Scoring
|
||||
|
||||
**Formula**:
|
||||
```
|
||||
Confidence = 0.4 × coverage +
|
||||
0.3 × validation_sample_size +
|
||||
0.2 × pattern_consistency +
|
||||
0.1 × expert_review
|
||||
|
||||
Where:
|
||||
- coverage = classified / total (0-1)
|
||||
- validation_sample_size = min(validated/50, 1.0)
|
||||
- pattern_consistency = successful_applications / total_applications
|
||||
- expert_review = binary (0 or 1)
|
||||
```
|
||||
|
||||
**Thresholds**:
|
||||
- Confidence ≥ 0.80: High confidence, production-ready
|
||||
- Confidence 0.60-0.79: Medium confidence, needs refinement
|
||||
- Confidence < 0.60: Low confidence, significant gaps
|
||||
|
||||
---
|
||||
|
||||
## Validation Criteria
|
||||
|
||||
**Methodology is validated if**:
|
||||
1. Coverage ≥ 80% (methodology handles most cases)
|
||||
2. Time savings ≥ 30% (significant efficiency gain)
|
||||
3. Prevention ≥ 10% (automation provides value)
|
||||
4. ROI ≥ 5x (worthwhile investment)
|
||||
5. Transferability ≥ 70% (broadly applicable)
|
||||
|
||||
---
|
||||
|
||||
## Example: Error Recovery Validation
|
||||
|
||||
**Historical Data**: 1336 errors from 15 sessions
|
||||
|
||||
**Baseline**:
|
||||
- MTTR: 11.25 min
|
||||
- No systematic classification
|
||||
- No prevention tools
|
||||
|
||||
**Post-Methodology** (retrospective):
|
||||
- Coverage: 95.4% (13 categories)
|
||||
- MTTR: 3 min (73% reduction)
|
||||
- Prevention: 23.7% (3 automation tools)
|
||||
- Time saved: 183.6 hours
|
||||
- ROI: 31.9x
|
||||
|
||||
**Confidence Score**:
|
||||
```
|
||||
Confidence = 0.4 × 0.954 +
|
||||
0.3 × 1.0 +
|
||||
0.2 × 0.91 +
|
||||
0.1 × 1.0
|
||||
= 0.38 + 0.30 + 0.18 + 0.10
|
||||
= 0.96 (High confidence)
|
||||
```
|
||||
|
||||
**Validation Result**: ✅ VALIDATED (all criteria met)
|
||||
|
||||
---
|
||||
|
||||
## Common Pitfalls
|
||||
|
||||
**❌ Selection Bias**: Only validating on "easy" cases
|
||||
- Fix: Use complete dataset, include edge cases
|
||||
|
||||
**❌ Overfitting**: Methodology too specific to validation data
|
||||
- Fix: Test transferability on different project
|
||||
|
||||
**❌ Optimistic Timing**: Assuming perfect pattern application
|
||||
- Fix: Use realistic time estimates (1.2x typical)
|
||||
|
||||
**❌ Ignoring Learning Curve**: Assuming immediate proficiency
|
||||
- Fix: Factor in 2-3 iterations to master patterns
|
||||
|
||||
---
|
||||
|
||||
## Automation Support
|
||||
|
||||
**Validation Script**:
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# scripts/validate-methodology.sh
|
||||
|
||||
METHODOLOGY=$1
|
||||
HISTORY_DIR=$2
|
||||
|
||||
# Extract baseline metrics
|
||||
baseline=$(query_tools --scope=session | jq -r '.[] | .duration' | avg)
|
||||
|
||||
# Apply methodology patterns
|
||||
coverage=$(classify_with_patterns "$METHODOLOGY" "$HISTORY_DIR")
|
||||
|
||||
# Calculate impact
|
||||
time_saved=$(calculate_time_savings "$baseline" "$coverage")
|
||||
prevention=$(calculate_prevention_rate "$METHODOLOGY")
|
||||
|
||||
# Generate report
|
||||
echo "Coverage: $coverage"
|
||||
echo "Time Saved: $time_saved"
|
||||
echo "Prevention: $prevention"
|
||||
echo "ROI: $(calculate_roi "$time_saved" "$methodology_time")"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
**Source**: Bootstrap-003 Error Recovery Retrospective Validation
|
||||
**Status**: Production-ready, 96% confidence score
|
||||
**ROI**: 31.9x validated across 1336 historical errors
|
||||
Reference in New Issue
Block a user