This searches your FPF knowledge base and returns hypothesis details with their assurance scores. You get a table of results showing layer (L0/L1/L2), R_eff values, and dependency trees. It pulls from `.fpf/knowledge/` directories and decision records, displaying audit breakdowns that show weakest links and congruence level penalties. Useful when you need to find what hypotheses exist for a topic, check validation status, or understand why a particular R_eff score landed where it did. The dependency visualization is particularly clean, showing how assurance degrades through the tree. Beats manually grepping through structured knowledge files when you're trying to make architecture decisions based on validated assumptions.
npx skills add https://github.com/neolabhq/context-engineering-kit --skill query