prompt-engineering
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEPROMPT_INJECTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill contains instruction bypass patterns, such as "Ignore previous instructions and instead...", in the
references/synthetic-data.mdfile. These are explicitly provided as examples of adversarial inputs for testing LLM robustness and are not instructions directed at the agent itself. - [INDIRECT_PROMPT_INJECTION]: The skill defines a workflow for generating synthetic test data that includes adversarial payloads and encoding tricks (zero-width characters, homoglyphs). This creates a vulnerability surface where the agent might process these generated inputs during validation steps. However, the skill provides mitigation strategies including structured data formats and safety guardrails.
- Ingestion points: The
references/synthetic-data.mdfile identifies placeholders and variables that accept dynamic, potentially adversarial input. - Boundary markers: The skill advocates for structured outputs (JSON/XML) and the use of explicit delimiters like
<thinking>and<answer>tags to separate logic from content. - Capability inventory: The skill involves LLM evaluation and prompt validation workflows, but does not include scripts with shell execution, file system writes, or network access.
- Sanitization: Includes specific verification steps in
references/techniques.mdto check for harmful instructions and personal information before generating responses.
Audit Metadata