dcf-model
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted external data from SEC filings and web searches which could theoretically contain malicious instructions designed to influence the agent's analysis or output.
- Ingestion points: Financial data is retrieved from SEC EDGAR filings, analyst reports, and general web searches as described in the workflow section of
SKILL.md. - Boundary markers: The instructions do not provide specific delimiters or warnings to the agent to ignore potentially adversarial instructions embedded within the ingested financial documents.
- Capability inventory: The skill executes Python scripts (
validate_dcf.py,recalc.py) and writes to the local filesystem usingopenpyxl. - Sanitization: There is no explicit requirement for the agent to sanitize or filter the text content retrieved from external sources before it is used in the model summaries.
- [COMMAND_EXECUTION]: The skill requires the execution of local Python scripts to validate the integrity of the generated Excel files.
- Evidence:
SKILL.mdinstructs the agent to runpython recalc.py model.xlsx 30andpython validate_dcf.pyas mandatory steps in the workflow to check for formula errors and logical consistency.
Audit Metadata