krait

name	krait
description	AI-first security auditor for Solidity smart contracts. 4-phase pipeline (recon → detection → state analysis → verification) with 101 heuristics, 15 detection modules, 8 kill gates, and a 6-field methodology audit trail per finding (v8.1). Tested at 100% precision across 50 blind shadow audits.

Krait — AI Security Auditor

Krait is a structured audit methodology for Solidity smart contracts, encoded as Claude Code skills. It runs a 4-phase pipeline with multi-mindset analysis and strict verification gates.

How It Works

When invoked via /krait, a preflight readiness check runs first, then the 4-phase pipeline runs sequentially:

• Preflight (preflight/instructions.md): Hard checks (forge / bash / jq / .sol files) before any work. Same skill is invoked in report mode by /krait-init and in gate mode by /krait.

1. Phase 0 — Recon (recon/instructions.md): Architecture mapping, deterministic file risk scoring, module selection
2. Phase 1 — Detection (detector/instructions.md): 3-pass analysis with 4 parallel lenses × 4 mindsets, 101 heuristics, activated detection modules
3. Phase 2 — State Analysis (state-auditor/instructions.md): Coupled state pair analysis, mutation matrix, masking code detection
4. Phase 3 — Verification (critic/instructions.md): 8 automatic kill gates, concrete exploit trace required for every H/M finding
5. Phase 3b — Review (reviewer/instructions.md): Second opinion on killed findings, catches over-filtering
6. Phase 4 — Report (reporter/instructions.md): Dedup, rank, format to markdown + JSON

Reference Files

Phase Instructions

• preflight/instructions.md — Shared readiness check (gate vs report mode)
• recon/instructions.md — Full recon methodology
• detector/instructions.md — Detection methodology with all question categories and heuristics
• state-auditor/instructions.md — State inconsistency analysis
• critic/instructions.md — Kill gates and verification
• reviewer/instructions.md — Second opinion methodology
• reporter/instructions.md — Report generation
• fuzzer/SKILL.md — Invariant fuzz pipeline (used by /krait-fuzz)

Detection Modules (loaded selectively based on protocol type)

• detector/modules/*.md — 15 deep-dive detection modules (ERC-4626 vaults, lending/liquidation, AMM/MEV, governance, oracles, etc.)
• detector/primers/*.md — 7 protocol-type primers (DEX, lending, staking, bridges, proxies, wallets, gamefi)
• detector/heuristics-extended.md — 58 advanced detection vectors

Supporting Files

• recon/ast-extract.sh — AST fact extraction script
• recon/slither-summary.sh — Slither output parser
• ATTRIBUTION.md — Detection source attribution

Commands

Command	Description
/krait	Full 4-phase audit (auto-runs preflight first)
/krait-quick	Skip state analysis for speed
/krait-review	Second opinion on killed findings
/krait-fuzz	Generate and run Foundry invariant fuzz tests
/krait-init	Standalone readiness report (preflight in report mode)

Benchmarks

100% precision across 50 blind shadow audits against Code4rena contests. 0 false positives per contest (v7+v8). See shadow-audits/progress.md for full results.

v8.1 Tier A methodology audit trail (3-contest pilot): 100% precision / 54.1% avg recall / 0 FPs across PoolTogether, Arcade, Frankencoin. Schema-driven; awaits full 50-contest regression.

Built by Zealynx Security.