{"product_id":"ai-driven-ul-fund-data-validator-for-accurate-actuarial-analysis","title":"AI-Driven UL Fund Data Validator for Accurate Actuarial Analysis","description":"\u003ch3\u003eAI-Driven UL Fund Data Validator for Accurate Actuarial Analysis\u003c\/h3\u003e\n\n\u003cp\u003eThis AI-driven skill validates quarterly Universal Life (UL) fund Excel extracts before actuarial analysis. It executes format checks to ensure data integrity and produces an audit-friendly report for further examination.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIdentifies and locates the uploaded UL fund workbook in the designated directory.\u003c\/li\u003e\n  \u003cli\u003eExecutes Python scripts to validate the contents of the workbook through 22 format checks.\u003c\/li\u003e\n  \u003cli\u003eGenerates a standalone report workbook named \u003ccode\u003e_validation.xlsx\u003c\/code\u003e, which contains a single sheet entitled \u003ccode\u003eValidation Q\u003c\/code\u003e.\u003c\/li\u003e\n  \u003cli\u003eIncludes the source filename, SHA-256 fingerprint, and byte count for audit tracing.\u003c\/li\u003e\n  \u003cli\u003eProduces a summary, highlighting whether the workbook has passed or failed the validation checks.\u003c\/li\u003e\n  \u003cli\u003eCommunicates the validation status in chat, listing any failed rules with their specific details, such as sheet, column, reason, and cell references.\u003c\/li\u003e\n  \u003cli\u003eAdvises against analyzing data with failed checks until corrected, ensuring data reliability in actuarial analysis.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is intended for developers and actuarial teams utilizing AI coding agents like Claude Code, Cursor, and Codex, particularly those needing to validate UL fund data efficiently before analysis.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eData validation of quarterly UL fund extracts during routine actuarial analysis processes.\u003c\/li\u003e\n  \u003cli\u003eQuality assurance checks when uploading new data extracts to ensure integrity before any analytical procedures.\u003c\/li\u003e\n  \u003cli\u003eProviding an audit trail for UL fund data handling by documenting validation details with SHA-256 fingerprinting.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eUtilizes Python scripting to automate data validation checks on Excel workbooks.\u003c\/li\u003e\n  \u003cli\u003eWorks with file directories to manage and store validated reports in designated output folders.\u003c\/li\u003e\n  \u003cli\u003eCompatible with AI coding agents such as Claude Code, Cursor, and Codex for seamless integration into existing workflows.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThis provides general workflow assistance only and is not financial advice. It aims to improve the consistency and reliability of data used in actuarial analysis.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eopen-source-modelling\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/open-source-modelling\/insurance_skills\" rel=\"nofollow noopener\" target=\"_blank\"\u003eopen-source-modelling\/insurance_skills\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53523069763895,"sku":"MCP-OPEN-SOURCE-MODELLING-INSURANCE-SKILLS-VALIDATE-UL-FUND-DATA","price":67.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/W4N73BgjJ_cMFQYxbN2im_dfbde900e8bc47a4b9dc18107a09403c.jpg?v=1793872907","url":"https:\/\/mcpcart.com\/products\/ai-driven-ul-fund-data-validator-for-accurate-actuarial-analysis","provider":"SPF PRO","version":"1.0","type":"link"}