Audits and summarizes all external URLs accessed via web fetch tools during SpecStory AI coding sessions.
SpecStory Link Trail is a specialized utility designed to provide transparency and auditability for AI-assisted development workflows. By parsing local history files, it generates a comprehensive report of every external resource your AI assistant accessed, including documentation links, API references, and troubleshooting resources. This skill is essential for developers who need to retrace their research steps, verify the sources of AI-provided information, or diagnose failed web requests that occurred during an automated coding session.
주요 기능
01Automated parsing of .specstory history files to identify WebFetch tool calls
02Domain-level summaries to identify primary documentation and data sources
03Session-based grouping with timestamps for chronological activity tracking
04Detailed reporting of successful vs. failed fetches with HTTP status codes
05URL deduplication with fetch frequency counts to highlight key resources
062 GitHub stars
사용 사례
01Auditing external resource access for security compliance during AI-driven development
02Troubleshooting failed AI web fetches caused by authentication or connectivity issues
03Quickly recovering documentation pages or research links visited in previous sessions
