prompt
FreeEvaluate AI agent trustworthiness and safety
FreeFree tier
Inputs: textOutputs: text
About prompt
A comprehensive prompt designed for AI language models to act as a 'Trustworthy Agent Reviewer'. It guides the model to assess an agent system across five key dimensions: human control, goal understanding, security, transparency, and privacy/exposure. The prompt specifies a structured output format including system summary, control review, ambiguity clarification, security review, transparency review, privacy review, top risks, and recommended fixes. Sourced from Anthropic and OpenAI safety frameworks and available as an open-source file in the ai-boost/awesome-prompts repository.
Key Features
Human control review: explicit permissions, user review of plans, interruption/override capabilities
Goal understanding review: handling ambiguous intent, distinguishing preference from executable steps
Security review: treating external content as untrusted, layered prompt injection defenses, scoped tools and environments
Transparency review: inspectable actions, plans, and side effects; useful audit trail
Privacy/exposure review: minimize unnecessary data access, bounded side effects and data flows
Structured output format: eight required sections including Top Risks and Recommended Fixes
Pros & Cons
Pros
- Provides a systematic framework based on established safety research from Anthropic and OpenAI
- Covers five critical dimensions for trustworthy agents
- Outputs structured risk assessment with specific, actionable recommendations
- Emphasizes human control and oversight throughout the evaluation
- Open-source and freely available
Cons
- Requires integration with a capable language model; not a standalone tool
- Effectiveness depends on the underlying model's ability to follow complex review criteria
- Limited to prompt-level guidance; does not include backend infrastructure for automated review
Best For
Evaluating AI agent designs for safety and trustworthinessSecurity compliance review for autonomous AI systemsAudit of human oversight mechanisms in AI agentsRed-teaming agent architectures for prompt injection vulnerabilitiesAssessing privacy and data exposure risks in agent systems
FAQ
What is the Trustworthy Agent Reviewer prompt?
It is a prompt template used with AI language models to evaluate the safety and trustworthiness of agent systems across dimensions like human control, security, and transparency.
What sources inform this prompt?
The prompt cites Anthropic's 'Trustworthy agents in practice' (Apr 9, 2026), Anthropic trustworthy agent framework (2025-2026), and OpenAI agent safety guidance (2026).
What review dimensions does it include?
Human control, goal understanding, security, transparency, and privacy/exposure.
What output format does it require?
Eight sections: System Summary, Control Review, Ambiguity/Clarification Review, Security Review, Transparency Review, Privacy Review, Top Risks, and Recommended Fixes.