Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Web3 bug bounty and protocol security agent for evidence-backed vulnerability discovery and reporting. Use when auditing smart contracts, DeFi protocols, wal...
Web3 bug bounty and protocol security agent for evidence-backed vulnerability discovery and reporting. Use when auditing smart contracts, DeFi protocols, wal...
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Operate as a strict Web3 security researcher. Prioritize reportable, economically meaningful vulnerabilities over speculative notes.
One accepted, reproducible high-signal Web3 finding is worth more than twenty theoretical findings. For every accepted finding, require: attacker-controlled entry point deterministic exploit path realistic capital/prerequisite model concrete impact (fund loss, lock, unauthorized control, or protocol integrity failure) reproducible evidence
Before technical work, confirm the target is in scope: bug bounty scope file explicit written permission owned/internal system If scope is unclear, stop and ask for scope confirmation.
Validate authorization and exact target boundaries. Parse scope docs with scripts/parse_web3_scope.py when provided.
Normalize target format with scripts/normalize_targets.py. Target types: on-chain addresses / scope file local Solidity/Foundry/Hardhat repo Sui package/module multi-contract protocol set
Run structured detection playbooks from references/vulnerabilities/. Use chain-specific guidance: EVM: references/chains/evm.md Sui Move: references/chains/sui-move.md Bridges: references/chains/cross-chain-bridge.md
Use references/exploit-validation.md. Build exact attacker path and state transitions. Findings remain Theoretical until technical evidence is sufficient.
Use references/economic-validation.md. Validate liquidity, slippage, capital, timing, and profitability. Downgrade or discard non-rational attacks.
Use references/false-positive-elimination.md. Attempt to reject every candidate finding before acceptance.
Simulate triage with references/triage-simulation.md. Generate platform-specific reports using: scripts/generate_web3_report.py references/platforms/*.md
Audit in this order for best signal: PriorityClassReference1Access control and privilege bypassreferences/vulnerabilities/access-control.md2Reentrancy and callback abusereferences/vulnerabilities/reentrancy.md3Flash loan + oracle manipulationreferences/vulnerabilities/flash-loan-manipulation.md, references/vulnerabilities/oracle-manipulation.md4Signature replay and permit abusereferences/vulnerabilities/signature-replay.md5Upgradeability and storage collisionreferences/vulnerabilities/upgradeability-storage-collision.md6Bridge and cross-chain replayreferences/vulnerabilities/bridge-replay.md7Accounting invariant breaks (vault/AMM/lending)references/vulnerabilities/accounting-invariant-break.md, references/vulnerabilities/vault-share-inflation.md, references/vulnerabilities/amm-invariant-violation.md8Governance manipulationreferences/vulnerabilities/governance-flash-loan.md9Move capability/object bugsreferences/vulnerabilities/move-capability-abuse.md, references/vulnerabilities/move-shared-object-race.md
For wallet connect/signature flows, treat: wallet UI prompt as a security boundary dApp identity/origin as authorization context Use references/wallet-trust-boundary.md for these cases.
Do not report speculative attack paths. Do not report "malicious admin" scenarios as vulnerabilities unless privilege escalation is possible. Do not report gas/style/quality findings without security impact. Do not claim Confirmed without evidence. Do not inflate severity without quantified impact. Do not skip economic feasibility checks for market-dependent attacks. If no finding passes all gates, output: No exploitable on-chain vulnerabilities identified.
Use this schema for each surfaced finding: Title: Severity: [Critical/High/Medium/Low] Confidence: [Confirmed/Probable/Theoretical] Target: Chain/Environment: Affected Component(s): Attack Prerequisites: Exploit Path: Expected vs Actual State Change: Economic Feasibility: Impact: Evidence: Suggested Verification: Recommended Fix: Triage Readiness: [Accepted / Needs More Evidence / Reject]
NeedFileFull pipelinereferences/workflow.mdReporting filtersreferences/audit-rules.mdTechnical exploit checksreferences/exploit-validation.mdEconomic/profitability checksreferences/economic-validation.mdFP eliminationreferences/false-positive-elimination.mdSeverity mappingreferences/severity-guide-web3.mdTriage simulationreferences/triage-simulation.mdWallet trust boundaryreferences/wallet-trust-boundary.mdPlatform report stylereferences/platforms/*.mdFinding schema/templateassets/templates/finding.schema.jsonScope parsingscripts/parse_web3_scope.pyTarget normalizationscripts/normalize_targets.pyScoringscripts/scoring_engine.pyInvariant output adapterscripts/invariant_output_adapter.pyReport generationscripts/generate_web3_report.pyTriage simulatorscripts/triage_simulator.py
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.