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Analyzing Second-Order Consequence Chains
thinking-second-order
tjboudreaux/cc-thinking-skills
245
A rigorous framework for tracing the full systemic consequence chain of strategic decisions. It guides users beyond the immediate, intended first-order effects to anticipate delayed impacts, incentive shifts, and complex problems that only emerge at scale or over time, ensuring decisions are robust against unforeseen systemic risks.
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Verify AI Agent Actions Before Execution
verify-agent-action
github/awesome-copilot
301
This framework provides a rigorous pre-execution review mechanism for proposed actions by AI agents or systems. It functions as a critical safety boundary, auditing the entire decision path—from initial request to proposed tool execution—without authorizing or executing anything. It verifies action conformity, evidence integrity, temporal validity, and reviewer independence to ensure system compliance and security.
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