Module C2 — Build a Smart Contract or Cloud Security Harness

Build a Smart Contract or Cloud Security Harness

Design, build, run, and benchmark a domain-specific harness — EVMbench-aligned smart contract audit or cloud posture + red team — with a publishable one-page results summary.

minutes

artifacts

sub-sections

Capstone two applies the C1 architecture to a specialized domain. Three sub-sections: design and scoping (choose EVMbench-aligned smart contract audit or cloud posture + red team; define the three modes, tool suite, evidence schema, report format, and authorization document); build and run (implement the full pipeline against a real lab target — forked mainnet, Damn Vulnerable DeFi, or an isolated AWS environment; capture structured findings with full evidence; generate a client-ready report); and benchmark and publish (score against the domain benchmark — EVMbench subset or a cloud posture benchmark — and produce a one-page summary for LinkedIn, GitHub, and Deepthreat.ai). This capstone produces a public portfolio artifact and a Deepthreat.ai demonstration asset.

Key Claims

Load-Bearing Claims

Same architecture, different domain. The C1 skeleton — scope middleware, memory, tools, evidence, triage, report — ports directly to smart contract or cloud security. What changes is the tool suite, the target, and the benchmark. The skills transfer.

Three modes define the harness. Smart contract: Detect / Patch / Exploit. Cloud: Detect / Remediate / Exploit. The mode determines the tool chain and the evidence shape. A harness that only detects is half a harness.

A real lab target is non-negotiable. Forked mainnet, Damn Vulnerable DeFi, or an isolated AWS account. A harness tested only on toy examples is a hypothesis. The lab target makes the benchmark falsifiable.

The one-page summary is the asset. The benchmark score and the client report distill into a single publishable page — LinkedIn post, GitHub README, Deepthreat.ai demonstration. The harness is the engine; the published score is the portfolio.

After This Module

Choose a domain (EVMbench-aligned smart contract or cloud posture + red team) and produce an authorization and scope document.

Define the three modes the harness supports, the tool suite, the evidence schema, and the report format.

Implement the full pipeline for the chosen domain and run it against a real lab target.

Capture structured findings with full evidence records and generate a client-ready report.

Score the harness against the domain benchmark (EVMbench subset or cloud posture benchmark) and produce a one-page results summary for LinkedIn, GitHub, and Deepthreat.ai.

Artifacts

Teaching Document

~3,000 words; 3 sub-sections — design/scoping, build/run, benchmark/publish; capstone-style design guidance

READ

Diagrams

4 diagrams — domain choice and three modes, pipeline (smart contract and cloud), benchmark scoring, one-page publishable summary

READ

Slide Deck

reveal.js slide deck, dark theme, design-system teal

READ

Teaching Script

Verbatim teaching transcript, [SLIDE N] cues