earnings-deep-dive

Pass

Audited by Gen Agent Trust Hub on Jun 16, 2026

Risk Level: SAFECOMMAND_EXECUTION
Full Analysis
  • Structured Local Script Execution: The skill utilizes local Python scripts for data validation and processing. For instance, run_plan.py executes a validation script using subprocess.run. This is a controlled execution of internal code intended to ensure data consistency before generating reports.
  • Excel Model Manipulation: The apply_model_updates.py and model_diff.py scripts perform read and write operations on Excel workbooks using the openpyxl library. These operations are governed by a configuration file (plan.json) and specific registries, ensuring that only explicitly mapped drivers and outputs are modified.
  • Automated Placeholder Detection: The system includes logic to scan generated outputs for unresolved tokens like {PLACEHOLDER} or MISSING:. This acts as a quality assurance layer to prevent the delivery of incomplete analysis or authoring artifacts to the user.
  • Input Validation Surface: The skill processes external financial data (transcripts, filings) through normalized CSV files. While this creates a surface for indirect instructions, the skill mitigates this by enforcing strict source tagging and specific data schemas documented in the reference files.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 16, 2026, 06:12 AM
Security Audit — agent-trust-hub — earnings-deep-dive