ai-prompt-engineering
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: The reference files contain numerous examples of prompt injection techniques (e.g., "Ignore previous instructions", "DAN mode", "developer mode"). These are documented as attack vectors to help users understand and implement robust defenses, such as delimiter isolation and the "sandwich defense".
- [EXTERNAL_DOWNLOADS]: The skill's reference materials include Python code snippets that utilize well-known packages like
tiktoken,nltk,numpy, andscipy. These tools are used for legitimate prompt engineering tasks like token measurement and statistical evaluation of prompt variants. - [COMMAND_EXECUTION]: The documentation discusses architectural patterns like
ReActandAgentic Tool Use. These descriptions and the associated code snippets are provided as implementation guides for developers and do not represent background command execution by the skill itself. - [SAFE]: No malicious patterns, data exfiltration attempts, or persistence mechanisms were detected. The skill is well-documented and adheres to security best practices for prompt engineering.
Audit Metadata