Show HN: An Agent Skill for analyzing FEC campaign finance filings (github.com)

A new Agent Skill has been released for analyzing Federal Election Commission (FEC) campaign finance filings, built on the original llm-fecfile plugin by Derek Willis. This tool allows users to fetch and analyze FEC data directly during agent sessions, significantly enhancing the accessibility and efficiency of campaign finance analysis. It supports major filing types like F1, F2, and F3, and includes detailed field mappings for contributions and disbursements, offering a comprehensive view of campaign finances. This development is noteworthy for the AI/ML community as it facilitates the analysis of critical financial data within the electoral process, promoting transparency and accountability. Users can easily deploy this skill in local environments, provided they have network access to FEC data. Security considerations are also addressed, with a warning about the potential for untrusted content in FEC filings, emphasizing the importance of cautious analysis. By leveraging tools like this, researchers and developers can better understand the intricacies of campaign financing, ultimately fostering more informed political engagement.