governance-autoresearch

Automate governance file research by running a script that identifies topics within each file, searches the last seven days of X posts, and cross-references bookmarks to propose one atomic change with justification. The process outputs a structured research payload for review while preserving SSOT alignment.

An atomic change proposal for governance files is a single, isolated improvement suggested per file after researching relevant X discourse and bookmarks data. It includes evidence-based justification and is delivered as a structured payload to maintain file structure and SSOT alignment for review.

Use bookmarks data to improve knowledge management files by cross-referencing it with recent X discourse during the research loop. This strengthens the justification and traceability of proposed atomic changes, ensuring governance improvements are grounded in high-signal, topic-relevant evidence.

Yes, governance autoresearch requires the x_runtime dependency to execute its research scripts. This environment enables the script to query X posts, process bookmarks, and generate the structured research payload containing proposed governance file improvements.

Yes, you can research multiple governance files by running the research script across your target files. The script preserves file structure and SSOT alignment throughout the process, proposing exactly one atomic improvement per file based on topic-specific X discourse from the last seven days.

Researching X discourse for governance improvements is limited to posts from the last seven days, ensuring recent relevance. The process relies on optional bookmarks data for enhanced justification, and all proposed atomic changes are output as a structured payload requiring human review before implementation.