feat: Decepticon-level verification pipeline optimization#2
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…neutralization - Add 4 new quality assurance agents: - purifier: False positive neutralization with auto-rejection patterns - verifier: 5-stage verification pipeline (Tool Consensus, Pattern Review, PoC Validation, Impact Analysis, Context Validation) - triage: Severity assessment and priority assignment (P0-P4) - validator: Static analysis tool validation (Slither, Mythril) - Update vigilo.ts with Phase 4.5: Multi-Stage Verification workflow - Add new Iron Laws for verification pipeline - Add new Anti-Patterns for false positives and verification - Update Directory Structure with new output directories - Update Legion Structure description - Update OpenCode SDK to latest version (1.17.7) Generated by Mistral Vibe. Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
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Phase 1: Core Architecture - Add sandbox.ts agent for two-network design (management + sandbox plane) - Add docker-compose.yml with decepticon-net and sandbox-net isolation - Add Makefile with comprehensive targets (dev, benchmark, dogfood) - Add .dockerignore with Decepticon-level patterns Phase 2: Verification Enhancement - Add graph-builder.ts agent for Neo4j knowledge graph integration - Add confidence-scoring.ts utility with multi-dimensional scoring - Enhanced types.ts with EvidenceType hierarchy (8 types) - Add ModelTier system (HIGH/MID/LOW) with MODEL_PROFILES - Add ProviderName, ProviderConfig, ModelFallbackChain types - Create providers/index.ts with ProviderManager class - Enhanced purifier.ts with 6 additional false positive patterns - Library Code (OpenZeppelin, Solady, Solmate) - Intentional Design Patterns (admin, pause, upgradeable) - Testing Artifacts (Hardhat, Foundry, cheat codes) - Compiler Warnings as Vulnerabilities - Gas Optimization False Positives - Style/Quality as Security New Agents: - sandbox: Container lifecycle + tmux session management - graph-builder: Knowledge graph construction + attack chain mapping New Utilities: - confidence-scoring: Multi-stage scoring with decay factors - providers: Tier-based model fallback with 11 providers Generated by Mistral Vibe. Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
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Phase 5: Comprehensive Benchmark Suite - Add benchmark/README.md with complete benchmark documentation - Add benchmark/xbow/config.yaml with Decepticon-level settings - Add benchmark/xbow/runner.py (611 lines) - XBOW benchmark runner - Add benchmark/requirements.txt with all Python dependencies Vigilo-Specific Benchmarks: - Add benchmark/vigilo-specific/false-positive-test/runner.py (406 lines) - Tests 10 safe contract patterns against 13 FP patterns - Target: <2% false positive rate (Decepticon level) - Add benchmark/vigilo-specific/true-positive-test/runner.py (464 lines) - Tests 10 vulnerability categories with per-category targets - Target: >98% detection rate (Decepticon level) - Add benchmark/vigilo-specific/performance-test/runner.py (449 lines) - Tests 5 complexity scenarios with token/time tracking - Target: <10K tokens/challenge, <60s/challenge Scripts: - Add benchmark/scripts/benchmark-all.sh - Run all benchmarks - Add benchmark/scripts/compare-results.py - Compare results vs Decepticon Documentation: - Add docs/architecture.md (485 lines) - Complete architecture documentation - Two-network design (management + sandbox plane) - 8-tier evidence hierarchy with ASCII diagrams - Confidence scoring formula with decay factors - Knowledge graph architecture (Neo4j) - Provider abstraction layer with 11 providers - 13 false positive neutralization patterns - Data flow, sandbox, performance, scalability sections - Comparison table with Decepticon - Add docs/benchmark-comparison.md (384 lines) - XBOW benchmark comparison (Level 1-3 breakdown) - Quality metrics comparison (FP/TP rates) - Performance metrics comparison - Architectural comparison - Feature comparison matrix - Gap analysis and conclusion Updates: - Update .dockerignore - Add additional patterns - Update .gitignore - Add bun.lock and packages/ exclusion Decepticon-Level Targets: - XBOW Pass Rate: 98.08% (102/104 challenges) - False Positive Rate: <2% - True Positive Rate: >98% - Token Efficiency: <10K tokens/challenge - Average Time: <60s/challenge - Throughput: >1 challenge/minute Generated by Mistral Vibe. Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
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Add comprehensive benchmark suite for testing Vigilo against industry-standard Web3 smart contract security benchmarks. New External Benchmarks (benchmark/external/): - XBOW Validation Benchmarks (PurpleAILAB) - 104 CTF-style challenges - SolidiFI Benchmark (DependableSystemsLab) - Academic dataset - Not So Smart Contracts (crytic) - Common vulnerability examples - Smart Contract Benchmark Suites (renardbebe) - 46,186 contracts Each benchmark includes: - README.md with documentation - Makefile for setup and execution - runner/runner.py with unified interface - test-vigilo.py for unified testing across all benchmarks Features: - Automatic repository cloning/updating - Categorized vulnerability testing - JSON and Markdown report generation - Comparison with Decepticon baseline (XBOW: 98.08%) - Simulation mode for development/testing Target Performance (Decepticon-Level): - XBOW: >98% pass rate, <10K tokens/challenge, <60s/challenge - SolidiFI: >95% detection rate, <12K tokens/contract - Not So Smart: >95% detection rate, <8K tokens/contract - Smart Contract Suite: >90% detection rate, <15K tokens/contract Usage: cd benchmark/external make setup-all # Clone all benchmark repos make run-xbow # Run XBOW benchmarks python3 test-vigilo.py --benchmark all # Run all benchmarks Generated by Mistral Vibe. Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
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"## Overview\n\nThis PR implements Decepticon-level optimizations for the Vigilo verification pipeline, bringing it to professional autonomous red team agent standards.\n\n## Changes Summary\n\n### Phase 1: Core Architecture (Decepticon-Style Two-Network Design)\n\nNew Infrastructure:\n- docker-compose.yml: Two-network architecture with decepticon-net (management plane) and sandbox-net (sandbox plane)\n- sandbox.ts: New Sandbox Manager agent for container lifecycle and tmux session management\n- Makefile: Comprehensive build/deployment targets\n- .dockerignore: Decepticon-level ignore patterns\n\n### Phase 2: Verification Pipeline Enhancement\n\nEnhanced Evidence Hierarchy (8 types):\n- POC_VALIDATED, STATIC_CONFIRMED, TRACE_CONFIRMED, TOOL_CONSENSUS\n- SYMBOLIC_PROVEN, FUZZING_FOUND, MANUAL_VERIFIED, THEORETICAL\n\nConfidence Scoring:\n- confidence-scoring.ts: Multi-dimensional scoring with 5 stages and decay factors\n- Weights: Tool Consensus 25%, Pattern Review 20%, PoC Validation 30%, Impact Analysis 15%, Context Validation 10%\n\nKnowledge Graph Integration:\n- graph-builder.ts: Neo4j knowledge graph construction with attack chain mapping\n- Generates Mermaid, Graphviz DOT, and interactive HTML visualizations\n\n### Phase 3: False Positive Neutralization\n\nEnhanced purifier.ts with 13 auto-rejection patterns:\n- Original 7 patterns (Test/Mock, Commented-Out, Duplicates, Out of Scope, No Impact, Known FPs, Insufficient Evidence)\n- NEW: Library Code False Positives (OpenZeppelin, Solady, Solmate)\n- NEW: Intentional Design Patterns (admin, pause, upgradeable)\n- NEW: Testing Artifacts (Foundry vm.*, Hardhat, mock contracts)\n- NEW: Compiler Warnings as Vulnerabilities\n- NEW: Gas Optimization False Positives\n- NEW: Style/Quality as Security\n\n### Phase 4: Model & Provider Optimization\n\nproviders/index.ts: Decepticon-style tier-based model fallback\n- 11 supported providers (Anthropic, OpenAI, Google, Mistral, xAI, DeepSeek, MiniMax, NVIDIA, OpenRouter, Ollama, Local)\n- ModelTier: HIGH, MID, LOW\n- ModelProfile: eco, max, test presets\n- ProviderManager class with automatic failover and health monitoring\n\n## Files Changed\n\nNew Files:\n- docker-compose.yml\n- Makefile\n- .dockerignore\n- packages/opencode/src/agents/sandbox.ts\n- packages/opencode/src/agents/graph-builder.ts\n- packages/opencode/src/providers/index.ts\n- packages/opencode/src/utils/confidence-scoring.ts\n\nModified Files:\n- packages/opencode/src/agents/types.ts\n- packages/opencode/src/agents/purifier.ts\n- packages/opencode/src/agents/index.ts\n- packages/opencode/src/index.ts\n\n## Next Steps\n\nRemaining phases ready for implementation:\n- Phase 3: Additional specialist agents\n- Phase 4: Complete model tier integration\n- Phase 5: XBOW benchmark integration\n\nGenerated by Mistral Vibe.\nCo-Authored-By: Mistral Vibe vibe@mistral.ai\n"