backtest
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill defines a prompt template in
SKILL.mdthat ingests untrusted user data via variables such as{{expr}}and{{task}}. Evidence Chain: 1. Ingestion points:SKILL.md(task, attachments, expr). 2. Boundary markers: Uses simple double-bracket and block delimiters (e.g.,{{#task}}). 3. Capability inventory: Python execution for data manipulation and chart generation via Matplotlib. 4. Sanitization: Absent. This represents a surface for indirect prompt injection where a user could embed instructions within a factor expression. - [SAFE]: The core backtesting algorithm in
references/algorithm.mdand diagnostic code inreferences/diagnostic-charts.mduse standard libraries like Pandas and Matplotlib for financial modeling. No unauthorized network activity, credential harvesting, or persistent mechanisms were identified. - [SAFE]: All external references, such as community images, point to the official repository of the author (quantskills) on a well-known platform (GitHub).
Audit Metadata