Japan Media Daily Monitoring & QA

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Automates quality assurance for manga and anime news monitoring by validating data integrity, fixing YAML frontmatter, and vetting candidate sources.

This skill acts as a specialized supervisor for the 'Japan Alliance' knowledge management system, specifically designed to audit daily news logs for manga, light novels, and anime. It automates the verification of automated data collection (from Hermes/Codex), identifies missing reports, and performs sampling to ensure deduplication and correct tagging. A key feature is its robust YAML frontmatter management, which normalizes metadata blocks to prevent corruption within Obsidian vaults. Additionally, it leverages web search capabilities to vet candidate information sources, ensuring only high-quality, verified URLs enter the canonical database.

Características Principales

01Automated QA auditing for daily news collection logs
02YAML frontmatter normalization and error recovery
03External source validation and promotion using Exa search
0428 GitHub stars
05Data integrity checking for deduplication and item counts
06Automated alert generation for missing or failed collection cycles

Casos de Uso

01Ensuring data consistency in automated knowledge management systems
02Managing high-volume media monitoring workflows in Obsidian
03Vetting and auditing new information sources for competitive intelligence