comps-valuation
Pass
Audited by Gen Agent Trust Hub on Jun 16, 2026
Risk Level: SAFE
Full Analysis
- [Workbook Management and Automated Auditing]: The skill includes dedicated Python scripts (
audit_comps_workbook.pyandcreate_comps_template.py) for managing financial models. These scripts are designed to detect structural issues, formula errors (such as #REF!, #DIV/0!), and hardcoded values in output sheets, which serves as a quality and integrity check. - [Structured Data Sourcing]: The instructions outline a hierarchy for sourcing financial data, prioritizing user-provided files and licensed market-data systems. While the skill mentions gathering context from workspace tools like Slack or Drive, this is conducted through defined connector routes intended for legitimate data retrieval.
- [Indirect Input Processing]: The skill processes user-provided Excel and CSV files. While this presents an interface for indirect content, the skill implements specific checks for data consistency and uses a deterministic fallback mechanism (
materialize_screening_comps.py) when data is incomplete, reducing the reliance on unverified external inputs for valuation conclusions. - [Dependency Usage]: The skill utilizes standard, well-recognized Python libraries such as
openpyxlandxlsxwriterfor spreadsheet manipulation. No suspicious or unverifiable external dependencies were detected.
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