navidocs/EVALUATION_QUICKSTART.md
Danny Stocker 841c9ac92e docs(audit): Add complete forensic audit reports and remediation toolkit
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>
2025-11-27 15:18:15 +01:00

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)

  1. Codex session → Save output as codex_infrafabric_eval_2025-11-14.yaml
  2. Gemini session → Save output as gemini_infrafabric_eval_2025-11-14.yaml
  3. 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.