---

name: ai-report-export description: Automated 2-AI verification result documentation and export workflow. Triggers when user requests AI verification report export, documentation of findings, or saving cross-validation results. Use after completing Codex/Gemini analysis. version: v2.0.0 user-invocable: true allowed-tools: Bash, Read, Write

AI Verification Report Export

Target Token Efficiency: 78% (450 tokens → 99 tokens)

Purpose

Automated 2-AI verification result documentation without manual formatting or file organization.

Trigger Keywords

• "export AI report"
• "document findings"
• "save verification results"
• "AI 검증 결과"
• "2-AI 결과"

Context

• Project: OpenManager VIBE v5.85.0
• AI Tools: Codex, Gemini (2-AI cross-verification)
• Output Location: logs/ai-decisions/
• Note: Qwen 제거됨 (2026-01-07) - 평균 201초, 실패율 13.3%

Workflow

1. Identify AI Outputs

Required Information:

• Codex analysis (실무 검증)
• Gemini review (아키텍처 검증)
• Task/feature being verified
• Verification timestamp

Sources:

/tmp/codex.txt (from codex-wrapper.sh)
/tmp/gemini.txt (from gemini-wrapper.sh)

2. Parse AI Responses

Extract Key Data:

• Each AI's score (x/10)
• Key findings (3-5 points each)
• Consensus points (agreements)
• Divergent points (disagreements)
• Recommended actions

Automated Parsing:

# Parse scores from AI outputs
CODEX_SCORE=$(awk '/score:|점수:/ {print $NF}' /tmp/codex.txt 2>/dev/null | grep -oE '[0-9]+\.[0-9]+|[0-9]+' | head -1)
GEMINI_SCORE=$(awk '/score:|점수:/ {print $NF}' /tmp/gemini.txt 2>/dev/null | grep -oE '[0-9]+\.[0-9]+|[0-9]+' | head -1)

# Calculate average score (2-AI)
if [ -n "$CODEX_SCORE" ] && [ -n "$GEMINI_SCORE" ]; then
  AVERAGE_SCORE=$(echo "scale=1; ($CODEX_SCORE + $GEMINI_SCORE) / 2" | bc 2>/dev/null || echo "0")
else
  AVERAGE_SCORE="N/A"
  echo "⚠️  WARNING: Unable to parse all AI scores"
fi

Status Determination:

# Threshold-based approval logic
if [ "$AVERAGE_SCORE" != "N/A" ]; then
  if (( $(echo "$AVERAGE_SCORE >= 9.0" | bc -l) )); then
    STATUS="✅ APPROVED"
  elif (( $(echo "$AVERAGE_SCORE >= 8.0" | bc -l) )); then
    STATUS="⚠️  CONDITIONALLY APPROVED"
  elif (( $(echo "$AVERAGE_SCORE >= 7.0" | bc -l) )); then
    STATUS="🔄 NEEDS REVISION"
  else
    STATUS="❌ REJECTED"
  fi
else
  STATUS="⚠️  INCOMPLETE"
fi

Template Structure:

# [Task Name] - 2-AI Verification

**Date**: YYYY-MM-DD HH:mm KST
**Status**: [APPROVED / CONDITIONALLY APPROVED / REJECTED]

## Scores

- Codex (실무): X.X/10
- Gemini (아키텍처): X.X/10
- **Average**: X.X/10

## Key Findings

### Codex (실무 검증)

- Finding 1
- Finding 2
- Finding 3

### Gemini (아키텍처 검증)

- Finding 1
- Finding 2
- Finding 3

## Recommended Actions

1. Priority 1: [Action]
2. Priority 2: [Action]

3. Generate Report File

Filename Convention:

logs/ai-decisions/YYYY-MM-DD-{task-slug}.md

4. Validation

# Check file existence before parsing
MISSING=""
[ ! -f /tmp/codex.txt ] && MISSING="${MISSING}codex "
[ ! -f /tmp/gemini.txt ] && MISSING="${MISSING}gemini "

if [ -n "$MISSING" ]; then
  echo "⚠️  WARNING: Missing AI outputs: $MISSING"
  exit 1
fi

5. Report Summary

📝 AI Verification Report Exported

📊 Summary:
├─ Task: [Task Name]
├─ Average Score: X.X/10
├─ Status: [APPROVED / CONDITIONAL / REJECTED]
└─ File: logs/ai-decisions/YYYY-MM-DD-{task-slug}.md

✅ Next Steps:
- Review consensus points
- Implement recommended actions

Success Criteria

• Report generated: < 2 min
• Both AI outputs included: 100%
• Markdown formatting valid: ✅
• Filename convention followed: ✅

Changelog

• 2026-01-10: v2.0.0 - 2-AI 시스템으로 전환 (Qwen 제거)
• 2025-11-04: v1.1.0 - Initial implementation