AIMS Architecture #

Repository-level architecture for the AIMS analysis pipeline, Hugo site, OKF source, and generated knowledge pages.

Repository facts #

AIMS combines Python automation with a Hugo static site. Python scripts live under .agents/skills/, tests live in tests/, schemas live under data/schema/, and Hugo source content lives under content/. Generated static output is written to the ignored site/ directory.

The OKF layer adds okf/ as the durable knowledge source while preserving existing source-of-truth boundaries: daily analysis JSON remains under data/analysis/, public reports remain under content/results/, and content/knowledge/ is regenerated from OKF.

Source-of-truth boundary #

AIMS keeps numeric market facts, scores, ranks, dates, risk gates, and data availability in generated artifacts and validated reports. This OKF concept captures durable repository knowledge only.

Related concepts #

• Data Sources
• Report Generation
• Publication Workflow

Citations #

• AGENTS.md
• README.md