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Deep on-chain scam / rug / soft-rug analysis for EVM tokens (especially Clanker, Doppler, Bankr-style single-admin ERC-20s).
Passed 10 of 17 test cases with the skill, and 7 of 17 without it.
and 4 more in the full report
7 fixed6 passed either way7 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
An on-chain analysis hits 6 separate items on the red flag checklist, including unverified Clanker status, single-recipient admin reward, missing extensions, and ungrounded social claims. What overall risk rating tier corresponds to 5 or more red flags?
| Checked | Without skill | With skill |
|---|---|---|
| The response assigns a verdict tier of HIGH risk when red flags reach 5 or more. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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.
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).
Priority reads by platform:
allData() context = clanker.world, factory 0xe85a59c628f7d27878aceb4bf3b35733630083a9):
search_tool.import "@layerzerolabs/oft-evm/contracts/OFT.sol" and peers(uint32), setPeer, send, setEnforcedOptions): standard multichain pattern. setPeer by owner is the main live admin power — if signers collude they can add a malicious peer chain and mint via _credit. Existing peers matching across chain explorers = legit bridge config. LZ V2 endpoint on Base: 0x1a44076050125825900e736c501f859c50fE728c.Save this step to your report. The "Claim vs reality" section needs to quote a specific docs capability the team could have used and chose not to.
test cases passed, vs 7 / 17 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.