Prevent and repair AI slop
Enforces anti-slop engineering discipline, Google SRE reliability principles (KISS, DRY, YAGNI, eliminating toil), Stop-That-Shit boundary interception, test integrity, and paranoid zero-trust architectures across AI-assisted and human codebases.
Skills 6 in the ChatGPT listing
Anti-Slop Engineering Prevent, detect, and repair AI coding slop and dirty engineering in repositories. Decision Guard Use when an AI agent is deriving metrics or complex explanations while a direct answer may exist, choosing a software architecture or technology stack, or making consequential technical decisions with long-term operational costs and uncertain assumptions. Future-Scale Gate Use before committing to hard-to-reverse foundations for a long-lived software product, language, runtime, data model, or platform; when current workload evidence is being used to dismiss credible growth requirements; or when a team wants to build for extreme future scale without proving which foundations matter. Install Anti-Slop Install and configure the generic and optional Effect anti-slop Oxlint plugins in a local TypeScript or JavaScript repository. Paranoid Architect Enforces a deeply skeptical, zero-trust, 10M-concurrent-user engineering mindset. Root-Fix Gate Use when a coding agent is about to patch the same symptom across controllers, views, endpoints or files; a small behavior change causes a wide diff; a workaround may hide a wrong model, schema or domain boundary; or a user proposes a shortcut with uncertain downstream effects. 