talk-roberts-ai-native-brownfield
Use when the user asks about Katie Roberts's talk "Stop Maintaining, Start Evolving: Applying AI-Native Practices to Brownfield Codebases" — including questions about using AI to build large complex systems (her ~350k-line Rust S3 clone experiment), test oracles, flaky tests with AI agents, why 100% test coverage is the wrong goal, human-in-the-loop AI coding, AI-assisted performance engineering, using the type system to enforce invariants, tracing as an AI debugging tool, or applying her approach to brownfield/legacy modernisation work.
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High
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Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill mandates reproducing verbatim quotes from external files (transcript.md) into the LLM's output, which would force the model to echo any secret values present in those files and thus creates an exfiltration risk.
- Repository
- AINativeDev/aidevcon-2026-ldn
- Commit
1887349
- Audited
- Security analysis
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