Is there an emerging pattern for NEGATIVESKILLS.md files?

There is an emerging pattern for NEGATIVESKILLS.md files, which are structured markdown documents cataloging contextually harmful, counterproductive, or ethically risky behaviors framed as 'skills'. These files are evolving to solve specific gaps in professional, tech, and educational contexts, particularly in AI training data, cross-functional team alignment, and community-driven guidelines for open-source projects. The most effective NEGATIVESKILLS.md files prioritize contextual specificity, mitigation-first framing, cross-functional governance links, and AI training metadata integration. They are not yet standardized but have coalesced around three high-impact use cases: supplementing AI training data, aligning teams on harmful workplace behaviors, and curating guidelines for open-source projects. The content typically includes explicit prohibitions, scope restrictions, and anti-patterns. Adopting this pattern, potentially in a dedicated file like NEGATIVESKILLS.md or CONSTRAINTS.md, is supported by evidence and is expected to become a standard mechanism for telling AI agents what is off-limits. Key considerations include maintaining a balance to avoid guideline fatigue and over-criminalization of minor mistakes. The emerging pattern is driven by the need to define boundaries for AI agents and is manifesting in various AI configuration files.