defending-llms-with-guardrails
Pass
Audited by Gen Agent Trust Hub on Jun 23, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a defensive cybersecurity resource focused on implementing runtime controls for LLM applications. It provides high-quality documentation and tooling for security practitioners.
- [PROMPT_INJECTION]: The static analysis detected prompt injection strings such as 'Ignore previous instructions' and 'reveal your system prompt'. However, these are documented examples within the text and code blocks intended solely for testing the efficacy of the guardrail systems. They do not represent an attempt to subvert the agent's behavior.
- [EXTERNAL_DOWNLOADS]: The instructions involve installing standard, well-known Python libraries including
llm-guard,nemoguardrails,transformers, andtorchfrom official package registries. It also references model downloads from Hugging Face, which is a trusted service for AI model distribution. - [COMMAND_EXECUTION]: The provided validation script (
scripts/agent.py) performs localized operations, such as reading a JSONL file and performing API calls to the installed guardrail libraries. No suspicious command execution or shell injection patterns were identified.
Audit Metadata