What problem does it solve? Investors and security researchers lose funds to rug pulls, honeypots, and hidden mint functions in meme coins and tokens, and manual contract review is slow and error-prone. This Skill provides a systematic audit methodology to identify malicious token mechanics before investment or as part of a security review. ## Core Features & Use Cases - Pre-Dive Kill Signals: Instantly filter out obvious scams by checking contract verification, deployer history, retained mint/freeze authorities, and Token-2022 dangerous extensions before deep analysis. - 8 Token-Specific Bug Classes: Grep-based detection patterns for hidden mints, honeypot transfer restrictions, fee manipulation, LP drains, bonding curve exploits, authority retention, fake renounces, and sandwich amplification across Solidity and Rust codebases. - Solana On-Chain Verification: Source-free checks for mint authority, freeze authority, LP lock status, holder concentration, and Token-2022 transfer hooks using solana CLI and spl-token commands. - Foundry PoC Templates: Ready-to-use exploit test contracts demonstrating hidden mint, honeypot blacklist, and fee manipulation attacks on a mainnet fork. - Use Case: Before buying a new Solana meme coin, run the 6-question fast filter (authorities null, LP locked, holder concentration, bonding curve status) to decide in under 5 minutes whether the token is safe to touch. ## Quick Start Audit this token contract source code for rug pull vectors including hidden mint functions, honeypot transfer restrictions, and retained owner privileges.