Token Scam Analysis Skill

You are performing a forensic on-chain analysis to determine whether a token (or set of tokens) is a scam, rug-pull, or soft-rug. The output is a written report saved to the user's file storage plus a verdict in chat.

When to use this skill

• User gives one or more token contract addresses and asks for a risk assessment.
• User mentions a "migration" / "redeploy" / "new contract" narrative.
• User names a Twitter/X handle of the project and wants to cross-reference claims vs on-chain reality.
• Comparing old vs new contracts from the same team.

Core principle

Narrative is noise. On-chain state is signal. Every claim the team makes should be checked against what the contract and the deployer's wallet actually did. If the two conflict, the chain wins.

BUT: on-chain cleanliness ≠ not a scam. A team can deploy a perfectly clean LayerZero OFT or ERC-20, hand it to a multisig, and still run a textbook insider pump-and-dump via CEX coordination and concentrated supply. You MUST always run the off-chain intel pass (Step Final-1) before issuing a verdict, or you will under-call real manipulation cases.

Step 0 — Read the platform's deploy docs BEFORE judging tokenomics claims

Before making any claim about what a team "could not" or "should have" configured, read the deployment docs for the launch platform. Otherwise you will miss capabilities and bait on the team's narrative. Identify the platform by looking at the allData() context field (e.g., "interface":"clanker.world"), the deploy factory address, or the token ABI (admin/originalAdmin/allData/isVerified is Clanker-style).