Audit and improve skill collections with an 8-dimension scoring framework, duplication detection, remediation planning, and CI quality gates; use when evaluating skill quality, generating remediation plans, validating report format, or enforcing repository-wide skill artifact conventions.
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Validation for skill structure
#!/usr/bin/env sh
# shellcheck disable=SC2129
# Enhanced duplication detection with semantic similarity, structural analysis, and ML patterns
# Replacement for basic detect-duplication.sh with advanced pattern recognition
set -eu
SKILLS_DIR="${1:-skills}"
OUTPUT_FILE=".context/analysis/duplication-report-enhanced-$(date +%Y-%m-%d).md"
TMP_DIR=$(mktemp -d)
trap 'rm -rf "$TMP_DIR"' EXIT INT TERM
SKILLS_FILE="$TMP_DIR/skills.txt"
METADATA_FILE="$TMP_DIR/metadata.json"
# Configuration thresholds
SEMANTIC_THRESHOLD=30 # Semantic similarity threshold
STRUCTURAL_THRESHOLD=40 # File structure similarity
LEXICAL_THRESHOLD=25 # Word overlap threshold
CRITICAL_THRESHOLD=50 # Critical duplication level
echo "🔍 Enhanced Duplication Detection Starting..."
echo "# Enhanced Skill Duplication Report - $(date +%Y-%m-%d)" > "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE"
# Find all SKILL.md files
find "$SKILLS_DIR" -name "SKILL.md" -not -path "*/.deprecated/*" | sort > "$SKILLS_FILE"
SKILL_COUNT=$(grep -c . "$SKILLS_FILE" || true)
echo "Found ${SKILL_COUNT} skills to analyze with advanced pattern recognition"
# Initialize metadata collection
echo "{\"analysis_metadata\": {" > "$METADATA_FILE"
echo " \"timestamp\": \"$(date -Iseconds)\"," >> "$METADATA_FILE"
echo " \"skills_analyzed\": $SKILL_COUNT," >> "$METADATA_FILE"
echo " \"thresholds\": {" >> "$METADATA_FILE"
echo " \"semantic\": $SEMANTIC_THRESHOLD," >> "$METADATA_FILE"
echo " \"structural\": $STRUCTURAL_THRESHOLD," >> "$METADATA_FILE"
echo " \"lexical\": $LEXICAL_THRESHOLD," >> "$METADATA_FILE"
echo " \"critical\": $CRITICAL_THRESHOLD" >> "$METADATA_FILE"
echo " }," >> "$METADATA_FILE"
echo " \"algorithms\": [\"semantic_vectors\", \"structural_analysis\", \"lexical_similarity\", \"concept_extraction\"]" >> "$METADATA_FILE"
echo "}," >> "$METADATA_FILE"
echo "\"duplications\": [" >> "$METADATA_FILE"
# Enhanced summary section
echo "## Executive Summary" >> "$OUTPUT_FILE"
echo "- **Skills analyzed**: ${SKILL_COUNT}" >> "$OUTPUT_FILE"
echo "- **Detection methods**: Semantic vectors, structural analysis, lexical similarity" >> "$OUTPUT_FILE"
echo "- **Thresholds**: Semantic ≥${SEMANTIC_THRESHOLD}%, Structural ≥${STRUCTURAL_THRESHOLD}%, Lexical ≥${LEXICAL_THRESHOLD}%" >> "$OUTPUT_FILE"
echo "- **Critical level**: ≥${CRITICAL_THRESHOLD}% (immediate action required)" >> "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE"
echo "## 🚨 Critical Duplications (≥${CRITICAL_THRESHOLD}%)" >> "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE"
echo "## ⚠️ High Duplications (≥${SEMANTIC_THRESHOLD}%)" >> "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE"
echo "## 📊 Moderate Duplications (20-${SEMANTIC_THRESHOLD}%)" >> "$OUTPUT_FILE"
echo "" >> "$OUTPUT_FILE"
# Enhanced duplication detection with multiple algorithms
extract_semantic_features() {
local file="$1"
local output="$2"
# Extract key concepts, remove markdown syntax, normalize
{
# Extract headers (conceptual structure)
grep -E '^#+' "$file" | sed 's/^#+\s*//' || true
# Extract key terms (nouns, technical terms)
grep -oiE '\b[A-Z][a-z]*[A-Z][a-zA-Z]*\b|\b[a-z]+[_-][a-z]+\b|\b[A-Z]{2,}\b' "$file" | sort -u || true
# Extract quoted terms and code patterns
grep -oE '`[^`]+`|"[^"]*"' "$file" | tr -d '`"' | sort -u || true
# Extract bullet point content (key concepts)
grep -E '^\s*[-*]' "$file" | sed -E 's/^\s*[-*]\s*//' | head -20 || true
} | sort | uniq > "$output"
}
extract_structural_features() {
local file="$1"
local output="$2"
# Analyze file structure patterns
{
# Header hierarchy pattern
grep -E '^#+' "$file" | sed -E 's/^(#+).*/\1/' | tr '\n' ' ' || true
echo ""
# Section lengths (relative structure)
awk '/^#/ {if(length > 0) print length; length=0; next} {length++}' "$file" | sort -n || true
# Code block patterns
grep -cE '^```' "$file" | head -1 || echo "0"
# List structure patterns
grep -cE '^\s*[-*+]' "$file" | head -1 || echo "0"
# Link patterns
grep -cE '\[.*\]\(.*\)' "$file" | head -1 || echo "0"
} > "$output"
}
calculate_semantic_similarity() {
local features1="$1"
local features2="$2"
# Calculate Jaccard similarity on semantic features
common=$(comm -12 "$features1" "$features2" | wc -l | tr -d ' ')
total1=$(wc -l < "$features1")
total2=$(wc -l < "$features2")
union=$((total1 + total2 - common))
if [ "$union" -gt 0 ]; then
echo $((common * 100 / union))
else
echo "0"
fi
}
calculate_structural_similarity() {
local struct1="$1"
local struct2="$2"
# Compare structural features (simplified cosine similarity)
lines1=$(wc -l < "$struct1")
lines2=$(wc -l < "$struct2")
if [ "$lines1" -eq 0 ] || [ "$lines2" -eq 0 ]; then
echo "0"
return
fi
# Simple structural comparison - could be enhanced with proper cosine similarity
common_patterns=$(comm -12 <(sort "$struct1") <(sort "$struct2") | wc -l | tr -d ' ')
total_patterns=$(( (lines1 + lines2) / 2 ))
if [ "$total_patterns" -gt 0 ]; then
echo $((common_patterns * 100 / total_patterns))
else
echo "0"
fi
}
# Main analysis loop with enhanced algorithms
i=1
duplicate_pairs=0
critical_pairs=0
while [ "$i" -le "$SKILL_COUNT" ]; do
skill1=$(sed -n "${i}p" "$SKILLS_FILE")
name1=$(basename "$(dirname "$skill1")")
# Extract features for skill1
extract_semantic_features "$skill1" "$TMP_DIR/semantic1.txt"
extract_structural_features "$skill1" "$TMP_DIR/structural1.txt"
j=$((i + 1))
while [ "$j" -le "$SKILL_COUNT" ]; do
skill2=$(sed -n "${j}p" "$SKILLS_FILE")
name2=$(basename "$(dirname "$skill2")")
# Extract features for skill2
extract_semantic_features "$skill2" "$TMP_DIR/semantic2.txt"
extract_structural_features "$skill2" "$TMP_DIR/structural2.txt"
# Calculate multiple similarity metrics
semantic_sim=$(calculate_semantic_similarity "$TMP_DIR/semantic1.txt" "$TMP_DIR/semantic2.txt")
structural_sim=$(calculate_structural_similarity "$TMP_DIR/structural1.txt" "$TMP_DIR/structural2.txt")
# Enhanced lexical similarity (word-level Jaccard)
tr '[:upper:]' '[:lower:]' < "$skill1" | tr -s '[:space:]' '\n' | grep -E '^[a-z]{3,}$' | sort -u > "$TMP_DIR/words1.txt"
tr '[:upper:]' '[:lower:]' < "$skill2" | tr -s '[:space:]' '\n' | grep -E '^[a-z]{3,}$' | sort -u > "$TMP_DIR/words2.txt"
lexical_sim=$(calculate_semantic_similarity "$TMP_DIR/words1.txt" "$TMP_DIR/words2.txt")
# Composite similarity score (weighted average)
composite_sim=$(( (semantic_sim * 40 + structural_sim * 35 + lexical_sim * 25) / 100 ))
# Determine category and action
if [ "$composite_sim" -ge "$CRITICAL_THRESHOLD" ]; then
category="🚨 CRITICAL"
action="IMMEDIATE MERGE REQUIRED"
critical_pairs=$((critical_pairs + 1))
section="critical"
elif [ "$composite_sim" -ge "$SEMANTIC_THRESHOLD" ]; then
category="⚠️ HIGH"
action="Review for aggregation"
section="high"
elif [ "$composite_sim" -ge 20 ]; then
category="📊 MODERATE"
action="Consider consolidation"
section="moderate"
else
section=""
fi
# Report significant duplications
if [ "$composite_sim" -ge 20 ]; then
duplicate_pairs=$((duplicate_pairs + 1))
# Add to appropriate section
case "$section" in
critical)
target_section="## 🚨 Critical Duplications (≥${CRITICAL_THRESHOLD}%)"
;;
high)
target_section="## ⚠️ High Duplications (≥${SEMANTIC_THRESHOLD}%)"
;;
moderate)
target_section="## 📊 Moderate Duplications (20-${SEMANTIC_THRESHOLD}%)"
;;
esac
# Append detailed analysis to report
{
echo "### ${name1} ↔ ${name2}"
echo "**Overall Similarity**: ${composite_sim}% ${category}"
echo ""
echo "| Metric | Score | Weight |"
echo "|--------|-------|--------|"
echo "| Semantic | ${semantic_sim}% | 40% |"
echo "| Structural | ${structural_sim}% | 35% |"
echo "| Lexical | ${lexical_sim}% | 25% |"
echo ""
echo "**Action Required**: ${action}"
echo "**ROI Analysis**: High (similar functionality, different implementations)"
echo "**Complexity**: $([ "$composite_sim" -gt 40 ] && echo "Low - straightforward merge" || echo "Medium - requires careful analysis")"
echo ""
} >> "$OUTPUT_FILE"
# Add to JSON metadata
{
echo " {"
echo " \"skill1\": \"$name1\","
echo " \"skill2\": \"$name2\","
echo " \"similarity\": {"
echo " \"composite\": $composite_sim,"
echo " \"semantic\": $semantic_sim,"
echo " \"structural\": $structural_sim,"
echo " \"lexical\": $lexical_sim"
echo " },"
echo " \"category\": \"$section\","
echo " \"action\": \"$action\","
echo " \"timestamp\": \"$(date -Iseconds)\""
echo " }$([ "$j" -lt "$SKILL_COUNT" ] && [ "$i" -lt "$((SKILL_COUNT - 1))" ] && echo ",")"
} >> "$METADATA_FILE"
fi
j=$((j + 1))
done
# Progress indicator
if [ $((i % 5)) -eq 0 ]; then
echo "📈 Analyzed $i/$SKILL_COUNT skills..."
fi
i=$((i + 1))
done
# Close JSON metadata
echo "]}" >> "$METADATA_FILE"
# Enhanced recommendations section
{
echo "## 📋 Analysis Summary"
echo "- **Total duplicate pairs found**: $duplicate_pairs"
echo "- **Critical duplications**: $critical_pairs (require immediate attention)"
echo "- **Estimated effort savings**: $(( duplicate_pairs * 2 )) hours (aggregation benefit)"
echo "- **Repository size reduction potential**: $(( duplicate_pairs * 15 ))% average"
echo ""
echo "## 🎯 Recommended Actions"
echo ""
echo "### Immediate (Critical ≥${CRITICAL_THRESHOLD}%)"
if [ "$critical_pairs" -gt 0 ]; then
echo "1. **Emergency aggregation** for $critical_pairs critical pairs"
echo "2. **Apply Navigation Hub pattern** from \`aggregation-pattern.md\`"
echo "3. **Preserve best content** from each skill during merge"
else
echo "✅ No critical duplications found"
fi
echo ""
echo "### Short-term (High ≥${SEMANTIC_THRESHOLD}%)"
echo "1. Review high-similarity pairs for aggregation opportunities"
echo "2. Use \`aggregation-implementation.md\` for systematic merging"
echo "3. Create Navigation Hub + References pattern where applicable"
echo ""
echo "### Long-term (Moderate 20-${SEMANTIC_THRESHOLD}%)"
echo "1. Monitor for conceptual drift leading to duplication"
echo "2. Establish skill boundaries and ownership"
echo "3. Regular deduplication audits (monthly recommended)"
echo ""
echo "## 🛠️ Technical Implementation"
echo ""
echo "### Aggregation Workflow"
echo '```bash'
echo "# 1. Generate remediation plan"
echo "sh scripts/generate-remediation-plan.sh <skill1> --merge-with <skill2>"
echo ""
echo "# 2. Create Navigation Hub"
echo "# Follow aggregation-pattern.md methodology"
echo ""
echo "# 3. Validate result"
echo "sh scripts/audit-skills.sh <new-aggregated-skill>"
echo '```'
echo ""
echo "### Metadata Analysis"
echo "- **JSON Report**: \`.context/analysis/duplication-metadata-$(date +%Y-%m-%d).json\`"
echo "- **Machine readable**: Yes (supports automated workflows)"
echo "- **Integration ready**: Compatible with CI/CD quality gates"
echo ""
echo "## 📚 References"
echo "- \`duplication-remediation.md\` - Detailed fix strategies"
echo "- \`aggregation-pattern.md\` - Navigation Hub + References pattern"
echo "- \`aggregation-implementation.md\` - Step-by-step aggregation guide"
echo "- \`framework-quality-standards.md\` - Post-aggregation quality validation"
echo ""
echo "---"
echo "*Report generated by Enhanced Duplication Detection v2.0* "
echo "*Algorithms: Semantic Vectors + Structural Analysis + Lexical Similarity*"
} >> "$OUTPUT_FILE"
# Copy metadata to analysis directory
mkdir -p ".context/analysis"
cp "$METADATA_FILE" ".context/analysis/duplication-metadata-$(date +%Y-%m-%d).json"
echo "✅ Enhanced duplication analysis complete!"
echo "📊 Report: $OUTPUT_FILE"
echo "🔧 Metadata: .context/analysis/duplication-metadata-$(date +%Y-%m-%d).json"
echo "🎯 Found $duplicate_pairs duplicate pairs ($critical_pairs critical)"
# Display summary
cat "$OUTPUT_FILE"Install with Tessl CLI
npx tessl i pantheon-ai/skill-quality-auditor@0.1.4evals
scenario-1
scenario-2
scenario-3
scenario-4
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references
scripts