evaluation
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill functions as a best-practice guide for systematic testing and evaluation of agent performance, containing no executable malicious instructions.
- [SAFE]: External references target well-known and trusted technical domains, specifically Anthropic and GitHub, for research reports and project context.
- [SAFE]: The provided Python code examples are non-functional pseudocode intended for illustration of logic rather than runtime execution. They do not involve sensitive file access, network operations, or shell command execution.
- [SAFE]: The documentation includes security-conscious advice for implementing evaluation systems, such as recommending that evaluated text be treated as inert data to mitigate potential injection risks during the assessment process.
Audit Metadata