Run structured audits against NotebookLM to validate ingested knowledge.
npx skills add https://github.com/sonthanh/brain-os-plugin --skill verify-sonthanh
Please help me install this Agent Skill. Skill: verify Source: https://github.com/sonthanh/brain-os-plugin/tree/main/skills/verify Command: npx skills add https://github.com/sonthanh/brain-os-plugin --skill verify-sonthanh
Inaccurate ingestion of self-learned knowledge can lead to degraded decisions; Knowledge Verify provides an automated audit to catch and flag errors before absorption.
Run verify on a selected book to generate 50 fresh questions, evaluate with NotebookLM, and update the audited flag.
High-intent search queries and answers about installing and using this skill.
Auditing notes in an Obsidian vault requires running a structured verification against NotebookLM to catch validation gaps. The process generates 50 fresh questions across topics to evaluate ingested notes and stores audit results in the book's _validation directory.
Validating knowledge ingested into NotebookLM is best handled by generating cross-cutting and adversarial questions to test the source material. This automated audit uses NotebookLM as an objective judge to flag validation gaps before the knowledge is absorbed.
Automated verification checks can run across multiple vault books using fuzzy matching to select targets. CLI controls allow you to execute the audit, check verification status, and assign audit flags per knowledge book individually.
Knowledge verification supports CLI commands to run the audit, check status, and set audit flags. It outputs the validation results locally into the book's _validation directory and updates the audited flag accordingly for governance.
An objective judge like NotebookLM is needed for self-learned knowledge validation because inaccurate ingestion can lead to degraded decisions. Generating adversarial prompts tests the ingested notes against an impartial source to catch and flag errors before absorption.
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