The Agent Skills Directory

[EXTERNAL_DOWNLOADS]: The skill fetches macro-economic datasets, including gold reserves and money supply aggregates, from well-known and official financial services like the Federal Reserve Bank of St. Louis (FRED), the International Monetary Fund (IMF), and Yahoo Finance. These operations are essential for the skill's primary analytical function and target reputable domains.
[COMMAND_EXECUTION]: The skill facilitates the execution of local Python scripts (gold_revaluation.py, visualize_revaluation.py) that process financial data and generate visualizations using standard libraries such as pandas and matplotlib. These scripts do not interact with sensitive system files or request elevated privileges.
[INDIRECT_PROMPT_INJECTION]: The skill possesses an ingestion surface for untrusted external data retrieved from public financial APIs.
Ingestion points: scripts/gold_revaluation.py fetches data via the FRED and Yahoo Finance public endpoints.
Boundary markers: There are no explicit prompt boundary markers in the data flow, but the script enforces strict type-casting to numerical formats (floats), effectively neutralizing non-numeric content.
Capability inventory: The script uses requests and yfinance for networking and pandas for processing; it contains no eval(), exec(), or arbitrary system command execution.
Sanitization: Data is parsed using standard CSV and JSON parsers with numerical validation.

usd-reserve-loss-gold-revaluation