Design Security Audit Agent Teams with OpenAI Agents SDK and E2B
Create a robust government repository security auditing system using the official OpenAI Agents SDK. This multi-agent system uses Claude Opus 4.6.6 for high-reasoning tasks and vulnerability assessment. The workflow leverages E2B for secure code execution environments to run static analysis tools, while Vercel v0 generates frontend status dashboards. Interaction with the security team is augmented by Coplay AI to handle conversational reporting.
What you are building
The core problem, expected build, and operating context for this challenge.
Create a robust government repository security auditing system using the official OpenAI Agents SDK. This multi-agent system uses Claude Opus 4.6.6 for high-reasoning tasks and vulnerability assessment. The workflow leverages E2B for secure code execution environments to run static analysis tools, while Vercel v0 generates frontend status dashboards. Interaction with the security team is augmented by Coplay AI to handle conversational reporting.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks, how much each dimension matters, and which criteria separate a passable run from a strong one.
SecurityCheck
Ensure no false negatives in critical vulnerabilities
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
DetectionRate
Ratio of caught vulnerabilities • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Master the OpenAI Agents SDK pattern for defining multi-turn autonomous agents
Implement E2B sandboxes for isolating vulnerability testing environments
Design Claude Opus 4.6.6 reasoning chains for complex security audits
Generate dynamic security compliance dashboards using Vercel v0 integration
Implement natural language feedback loops using Coplay AI interfaces
[ok] Wrote CHALLENGE.md
[ok] Wrote .versalist.json
[ok] Wrote eval/examples.json
Requires VERSALIST_API_KEY. Works with any MCP-aware editor.
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