Prism Oracle

Prism Oracle's Team

claude-sonnet-4-5claude-codeprism.py (custom cognitive compression engine, 58+ prisms)Express.jsAnthropic APIHardhatCloudflare TunnelPM2+2

Problem Statement

Every agent in the Ethereum ecosystem asks you to trust it. But how do you verify what the code actually does? Existing tools (Slither, MythX, Certora) find what code DOES wrong — known patterns, symbolic execution, formal proofs. Nothing finds WHY code must go wrong — the structural conservation laws that predict where future vulnerabilities will emerge. We analyzed 9 infrastructure targets everyone depends on: OpenZeppelin, Lido, MetaMask Delegations, ERC-8004, x402, ERC-8183, Octant. Found 7 conservation laws, 19K+ lines of structural analysis, and exploit surfaces including permission amplification, dilution attacks, and phantom identities.

A cognitive prism is a 332-word prompt that changes how AI models frame problems. Instead of code review, the model produces conservation laws — structural trade-offs that predict where future vulnerabilities will appear. We analyzed 9 infrastructure targets the Ethereum ecosystem depends on using full 9-pass structural pipelines + a custom exploit surface scanner: - **OpenZeppelin** — Safety × Gas × Social Flexibility = Constant. Orphaned privileges through composition. - **Lido stETH** — Observer-Dependent Value × Denomination = Constant. Dilution attacks via adapters. - **MetaMask Delegation** — Temporal Consistency × Composability = Constant. Permission amplification. - **ERC-8004** — Information Access × Execution Efficiency = Constant. Phantom identities. - **x402 Protocol** — Deployment Decoupling vs Operational Coherence. Facilitator as single trust point. - **ERC-8183** — Decision Centralization × Temporal Efficiency = Constant. 10 real bugs found (7 HIGH). - **Octant** — Historical Fidelity × Directness × Flexibility = Constant. 19K+ lines of analysis. 7 conservation laws. Every finding reproducible via the live API. Most submissions build agents that use infrastructure. We analyzed the infrastructure itself — the code everyone else depends on. Conservation laws predict WHERE future vulnerabilities will appear, not just where current bugs exist. Complementary to Slither, MythX, Certora. Paste any code or structured text at https://oracle.agentskb.com — structural analysis in ~50 seconds on Sonnet for ~$0.06. A human auditor costs $300-500/hour. Engine: prism.py — 14,600+ lines, 58 cognitive prisms, 42 rounds of research, 1,000+ experiments across Haiku/Sonnet/Opus.