skills/openai/plugins/market-sizing/Gen Agent Trust Hub

market-sizing

Pass

Audited by Gen Agent Trust Hub on Sep 6, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [Potential Indirect Prompt Injection]: The skill's workflow involves gathering data from external and potentially untrusted sources, such as public benchmarks and team communications, which creates a surface for indirect prompt injection.
  • Ingestion points: Data is gathered from ~~company_docs, ~~team_communication, and various public sources (SKILL.md).
  • Boundary markers: The instructions do not specify the use of clear delimiters to separate external content from the agent's primary instructions.
  • Capability inventory: The skill has the ability to generate persistent artifacts via $build-report and $Spreadsheets, and can execute code using $jupyter-notebooks.
  • Sanitization: There are no explicit requirements for sanitizing or filtering data retrieved from external sources.
  • [Dynamic Code Execution]: The skill utilizes tools to execute code for data processing and modeling.
  • Execution pattern: The instructions call for the use of $jupyter-notebooks to handle source harmonization, calculations, and sensitivity analysis.
  • Context: This behavior is intended for the skill's analytical purposes but involves the runtime generation and execution of logic that may be influenced by input data.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 6, 2026, 11:16 AM
Security Audit — agent-trust-hub — market-sizing