Phase 1: Git Repository Audit (4 Agents, 2,438 files)
- GLOBAL_VISION_REPORT.md - Master audit synthesis (health score 8/10)
- ARCHAEOLOGIST_REPORT.md - Roadmap reconstruction (3 phases, no abandonments)
- INSPECTOR_REPORT.md - Wiring analysis (9/10, zero broken imports)
- SEGMENTER_REPORT.md - Functionality matrix (6/6 core features complete)
- GITEA_SYNC_STATUS_REPORT.md - Sync gap analysis (67 commits behind)
Phase 2: Multi-Environment Audit (3 Agents, 991 files)
- LOCAL_FILESYSTEM_ARTIFACTS_REPORT.md - 949 files scanned, 27 ghost files
- STACKCP_REMOTE_ARTIFACTS_REPORT.md - 14 deployment files, 12 missing from Git
- WINDOWS_DOWNLOADS_ARTIFACTS_REPORT.md - 28 strategic docs recovered
- PHASE_2_DELTA_REPORT.md - Cross-environment delta analysis
Remediation Kit (3 Agents)
- restore_chaos.sh - Master recovery script (1,785 lines, 23 functions)
- test_search_wiring.sh - Integration test suite (10 comprehensive tests)
- ELECTRICIAN_INDEX.md - Wiring fixes documentation
- REMEDIATION_COMMANDS.md - CLI command reference
Redis Knowledge Base
- redis_ingest.py - Automated ingestion (397 lines)
- forensic_surveyor.py - Filesystem scanner with Redis integration
- REDIS_INGESTION_*.md - Complete usage documentation
- Total indexed: 3,432 artifacts across 4 namespaces (1.43 GB)
Dockerfile Updates
- Enabled wkhtmltopdf for PDF export
- Multi-stage Alpine Linux build
- Health check endpoint configured
Security Updates
- Updated .env.example with comprehensive variable documentation
- server/index.js modified for api_search route integration
Audit Summary:
- Total files analyzed: 3,429
- Total execution time: 27 minutes
- Agents deployed: 7 (4 Phase 1 + 3 Phase 2)
- Health score: 8/10 (production ready)
- No lost work detected
- No abandoned features
- Zero critical blockers
Launch Status: APPROVED for December 10, 2025
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
4.9 KiB
InfraFabric Evaluation - Quick Start
TL;DR
Goal: Get brutal, comparable feedback from 3 AI evaluators (Codex, Gemini, Claude) on InfraFabric
Time: 3-6 hours (evaluations run in parallel)
Output: Consensus report showing what all evaluators agree on
3-Step Process
Step 1: Copy Prompt (5 seconds)
cat /home/setup/navidocs/INFRAFABRIC_EVAL_PASTE_PROMPT.txt
Step 2: Paste into 3 Sessions (3-6 hours total, run in parallel)
- Codex session → Save output as
codex_infrafabric_eval_2025-11-14.yaml - Gemini session → Save output as
gemini_infrafabric_eval_2025-11-14.yaml - Claude Code session → Save output as
claude_infrafabric_eval_2025-11-14.yaml
Step 3: Merge Results (10 seconds)
cd /home/setup/navidocs
./merge_evaluations.py codex_*.yaml gemini_*.yaml claude_*.yaml
Output: INFRAFABRIC_CONSENSUS_REPORT.md
What You'll Get
1. Score Consensus
overall_score: 6.5/10 (average across 3 evaluators)
variance: 0.25 (low variance = high agreement)
2. IF.* Component Status
IF.guard: ✅ Implemented (3/3 agree, 73% complete)
IF.citate: ✅ Implemented (3/3 agree, 58% complete)
IF.sam: 🟡 Partial (3/3 agree - has design, no code)
IF.swarm: ❌ Vaporware (2/3 agree - mentioned but no spec)
3. Critical Issues (Ranked by Consensus)
P0: API keys exposed (3/3 evaluators - 100% consensus) - 1 hour fix
P0: No authentication (3/3 evaluators - 100% consensus) - 3-5 days
P1: IF.sam not implemented (3/3 evaluators - 100% consensus) - 1-2 weeks
4. Buyer Persona Fit
1. Academic AI Safety: Fit 7.7/10, WTP 3.3/10 (loves it, won't pay)
2. Enterprise Governance: Fit 6.0/10, WTP 7.0/10 (will pay if production-ready)
Why This Works
✅ YAML format → Easy to diff, merge, filter programmatically
✅ Mandatory schema → All evaluators use same structure
✅ Quantified scores → No vague assessments, everything is 0-10 or percentage
✅ Consensus ranking → Focus on what all evaluators agree on first
✅ File citations → Every finding links to file:line for traceability
Files Reference
| File | Size | Purpose |
|---|---|---|
INFRAFABRIC_EVAL_PASTE_PROMPT.txt |
9.4KB | Paste this into Codex/Gemini/Claude |
INFRAFABRIC_COMPREHENSIVE_EVALUATION_PROMPT.md |
15KB | Full methodology (reference) |
merge_evaluations.py |
8.9KB | Merges YAML outputs |
EVALUATION_WORKFLOW_README.md |
6.6KB | Detailed workflow guide |
EVALUATION_QUICKSTART.md |
This file | Quick reference |
Expected Timeline
| Phase | Duration | Parallelizable? |
|---|---|---|
| Start 3 evaluation sessions | 1 minute | Yes |
| Wait for evaluations to complete | 3-6 hours | Yes (all 3 run simultaneously) |
| Download YAML files | 2 minutes | No |
| Run merger | 10 seconds | No |
| Review consensus report | 15-30 minutes | No |
| Total elapsed time | 3-6 hours | (mostly waiting) |
Troubleshooting
Q: Evaluator isn't following YAML format
# Show them the schema again (it's in the prompt)
grep -A 100 "YAML Schema:" INFRAFABRIC_EVAL_PASTE_PROMPT.txt
Q: Merger script fails
# Check YAML syntax
python3 -c "import yaml; yaml.safe_load(open('codex_eval.yaml'))"
# Install PyYAML if needed
pip install pyyaml
Q: Want to see just P0 blockers
grep -A 5 "P0 Blockers" INFRAFABRIC_CONSENSUS_REPORT.md
What to Do with Results
Priority 1: 100% Consensus P0 Blockers
- Everyone agrees these are critical
- Fix immediately before anything else
Priority 2: IF.* Components (Vaporware → Implemented)
- Components all 3 evaluators flagged as vaporware = remove from docs or build
- Components all 3 flagged as partial = finish implementation
Priority 3: Market Focus
- Buyer persona with highest
fit_score * willingness_to_pay= your target customer - Ignore personas with high fit but low WTP (interesting but won't make money)
Priority 4: Documentation Cleanup
- Issues with 100% consensus on docs = definitely fix
- Issues with <67% consensus = might be evaluator bias, investigate
Next Session Prompt
After you have the consensus report, create a debug session:
# InfraFabric Debug Session
Based on consensus evaluation from Codex, Gemini, and Claude (2025-11-14):
**P0 Blockers (100% consensus):**
1. API keys exposed in docs (1 hour fix)
2. No authentication system (3-5 days)
**IF.* Components to implement:**
1. IF.sam (design exists, no code - 1-2 weeks)
2. [...]
Please implement fixes in priority order, starting with P0s.
Key Insight
Focus on 100% consensus findings first.
If all 3 evaluators (different architectures, different training data, different biases) independently flag the same issue → it's real and important.
Ready to get brutally honest feedback. Copy the prompt and run 3 evaluations in parallel.