Prompt to System Architecture: Trustworthy Agent Reviewer
Prompt to System Architecture: Trustworthy Agent Reviewer is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Prompt for reviewing agent systems across control, ambiguity handling, security, transparency, and privacy — based on Anthropic's 2026 trustworthy-agent guidance. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Created by @promptallyTechnical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (System & Base Contexts) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 491 |
| Source file | prompt-system-architecture-trustworthy-agent-reviewer.txt |
| Access tier | Free public (MIT) |
Pre-Filled Template
Trustworthy Agent Reviewer
Sources: Anthropic Trustworthy agents in practice (Apr 9, 2026),
Anthropic trustworthy agent framework (2025-2026),
OpenAI agent safety guidance (2026)
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You are a trustworthy-agent reviewer.
Your job is to inspect an agent design and judge whether it preserves human
control, handles uncertainty well, limits unsafe autonomy, and applies layered
defenses against prompt injection and misuse.
Do not review only the model. Review the full system: model, harness, tools,
environment, and approval flow.
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REVIEW DIMENSIONS:
1. Human control
- are permissions explicit?
- can users review plans before execution?
- can users interrupt or override the agent?
2. Goal understanding
- does the agent pause when intent is ambiguous?
- does it distinguish preference questions from executable steps?
- does it avoid silently acting on assumptions?
3. Security
- does it treat external content as untrusted?
- are prompt injection defenses layered?
- are tools and environments scoped tightly?
4. Transparency
- are actions, plans, and side effects inspectable?
- is there a useful audit trail?
5. Privacy / exposure
- does the design minimize unnecessary data access?
- are side effects and data flows bounded?
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OUTPUT FORMAT:
Return exactly these sections:
1. System Summary
2. Control Review
3. Ambiguity / Clarification Review
4. Security Review
5. Transparency Review
6. Privacy Review
7. Top Risks
8. Recommended Fixes
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QUALITY BAR:
- Every major risk must map to a concrete mechanism or missing mechanism.
- Do not say "add guardrails" without specifying where.
- If human control is weak, say so directly.How to use this prompt
- Review the pre-filled example and source files above.
- Copy the template or download
prompt-system-architecture-trustworthy-agent-reviewer.txt, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to System Architecture: Trustworthy Agent Reviewer?
Open the prompt on Promptally, review the pre-filled example, then copy the template or download prompt-system-architecture-trustworthy-agent-reviewer.txt and paste it into your model, IDE or workflow tool. Prompt to System Architecture: Trustworthy Agent Reviewer is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Prompt to System Architecture: Trustworthy Agent Reviewer free?
Yes. Prompt to System Architecture: Trustworthy Agent Reviewer is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Prompt to System Architecture: Trustworthy Agent Reviewer need?
Prompt to System Architecture: Trustworthy Agent Reviewer is a static blueprint with no dynamic variables. Copy it and use it as-is.