product-frameworks
Pass
Audited by Gen Agent Trust Hub on Feb 27, 2026
Risk Level: SAFECOMMAND_EXECUTIONREMOTE_CODE_EXECUTIONPROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill includes instructions in
rules/market-competitive.mdto use the GitHub CLI (gh) for gathering market data, such as repository stars and release counts, which is a legitimate use of tool capabilities for market research. - [REMOTE_CODE_EXECUTION]: Python code snippets for computing financial metrics like ROI, NPV, and IRR are provided in
rules/business-roi.mdandrules/strategy-go-no-go.mdas utility functions for the agent to perform data-driven analysis. - [PROMPT_INJECTION]: The skill possesses a surface for indirect prompt injection as it processes user-provided product data and maintains execution capabilities. Evidence chain:
- Ingestion points: User-provided feature lists and business case queries entering the agent's context during prioritization or market analysis tasks.
- Boundary markers: The skill does not explicitly define delimiters for untrusted user inputs within its templates.
- Capability inventory: The skill utilizes command-line execution (GitHub CLI) and dynamic code execution (Python for mathematical modeling).
- Sanitization: The skill relies on the agent's native safety guardrails and the structured nature of the provided templates for processing inputs.
Audit Metadata