weekly-performance-digest

Pass

Audited by Gen Agent Trust Hub on Jun 21, 2026

Risk Level: SAFEPROMPT_INJECTION
Full Analysis
  • [SAFE]: The skill performs arithmetic calculations locally on trade data and generates Markdown and JSON reports. It does not utilize any networking libraries and performs no external data exfiltration.
  • [SAFE]: Input data ingestion is performed using yaml.safe_load(), which is a secure method that prevents the execution of arbitrary Python objects potentially embedded in YAML source files.
  • [PROMPT_INJECTION]: The skill processes data from state/theses/th_*.yaml (ingestion point) and interpolates strings like lessons_learned into reports without sanitization or boundary markers. This represents an indirect prompt injection surface; however, the skill's capabilities are limited to local filesystem writes in the reports/ directory.
  • [SAFE]: The test suite (scripts/tests/test_generate_weekly_digest.py) utilizes importlib for dynamic module loading from a sibling vendor resource (trader-memory-core). This is a legitimate development pattern restricted to local project paths and does not affect the runtime security of the agent.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 21, 2026, 05:04 AM
Security Audit — agent-trust-hub — weekly-performance-digest