AI-Powered DSD Review: Effortless Financial Validation

AI-Powered DSD Review: Effortless Financial Validation

The AI-Powered DSD Review is an agent skill designed to assist developers and audit teams with the validation and verification of financial documents. It reads DART Editor files (dsd) or original DART disclosure documents (xml) to ensure consistency between financial statements and their annotations. The skill uses Excel formulas to validate numerical accuracy and consistency across various documents such as last year's reports, current reconciliation statements, and supplementary reports, facilitating a comprehensive and error-free financial review process.

What this skill does

• Reads financial documents in dsd or xml format for auditing.
• Cross-verifies figures between financial statements and annotations.
• Identifies and corrects textual errors such as typos and addressing errors.
• Compares current financial documents with prior versions for changes and consistency.
• Utilizes AI to define connection and aggregation structures from annotations while conducting calculations and comparisons through an internal engine and Excel integration.
• Displays results in a browser-based HTML review screen facilitating easy comparison and modification.
• Allows updates through the interface, maintaining the integrity of the original document.

Who it is for

• Developers and teams utilizing AI-powered coding agents such as Claude Code, Cursor, and Codex.
• Financial auditing and accounting professionals responsible for document validation and consistency checks.
• Organisations seeking to streamline their financial document review process.

Use cases

• Automating the verification of large volumes of financial documents for errors and inconsistencies.
• Performing side-by-side document comparisons to track changes across different financial periods.
• Enhancing accuracy and efficiency in preparing financial reports and disclosures.
• Ensuring compliance and accuracy in external and internal audit processes.

Technical details

• Designed for compatibility with AI agents like Claude Code, Cursor, and Codex.
• Functions via Python scripts within the skill's folder under `scripts/` directory.
• Includes key modules such as `dsd_grid.py` for reading, `dsd_links.py` for structure verification, and `dsd_patch.py` for mapping.
• Execution is managed through commands like `python scripts/run.py` with specific environment variables.
• Stores analysis outcomes adjacent to the dsd source files without uploading to shared storage, safeguarding customer data.

This provides general workflow assistance only and is not legal, tax, accounting or financial advice.

Source & Licence

This package is built on open-source work published by hany202507 (hany202507/finance-ai-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your 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.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This 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.

Claude, 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.