Senior Engineer Proposes Structured 'Skill Review' Framework for AI Agent Workflows

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A senior software engineer and tech lead has outlined a five-dimension framework for reviewing AI agent skills before stress testing, arguing that current review practices are insufficient. The framework addresses a gap between stress tests, which check if a skill works when called, and skill reviews, which assess whether a skill is ready across all contexts its description implies. The proposed checklist covers routing signals, output contracts, methodology generalisability, and explicit failure behaviour, among other dimensions. The author credits Dan Shapiro's 'Five Levels' model and AI strategist Nate B. Jones as the conceptual foundations for the approach. The piece is part of an ongoing public learning log called 'The Level 5 Engineer,' documenting one practitioner's progression toward advanced AI-assisted software development.

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