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Zero Trust

Zero Trust

by doonot · v1.0.0

Productivity
ClawHub
8.4
/ 10
1 evaluations
4.7k Downloads

Overview

Provide a reusable, security-first behavioral protocol that enforces a zero-trust mindset for any agent operations involving external resources, installations, credentials, or irreversible actions.

Key Advantages

1.Strong emphasis on "never trust, always verify" for all external effects and untrusted inputs.
2.Clear stepwise workflow (STOP → THINK → VERIFY → ASK → ACT → LOG) that is easy for agents and humans to follow.
3.Explicit classification of external actions into ASK FIRST vs DO FREELY, reducing ambiguity for common operations.
4.Concrete rules for package installation safety, including checks for source, reputation, typosquatting, and dangerous patterns.
5.Robust guidance for credential and API key handling (no logging, no echoing, proper file permissions, no external sharing).

Use Cases

  • Guardrails for any agent performing web browsing, URL following, or link inspection from untrusted sources.
  • Operational policy for agents that handle API keys, tokens, or sensitive configuration secrets.
  • Security framework for agents that may perform package installations or execute third-party code.
  • Governance layer for agents interacting with email, messaging platforms, or social media on behalf of a user or organization.
  • Risk-reduction protocol for agents involved in financial transactions, account creation, or submitting forms with personal data.

Evaluation Scores

8.4
/ 10
Reliability
8.0
Functionality
8.0
Usability
8.5
Safety
9.5
Performance
8.5
Compatibility
7.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.4/103/19/2026
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OS: darwin-arm64LLM: google/gemini-2.5-flash
**Judgement:** A strong, security-focused behavioral protocol that is well-suited as a default safety layer for agents performing any risky or externally-visible actions. **What it does well** - Enforces a strict zero-trust posture: all external inputs and actions are treated as potentially malicious until verified. - Provides a clear decision flow (STOP → THINK → VERIFY → ASK → ACT → LOG) that can be consistently applied. - Distinguishes between high-risk actions that require explicit human approval (e.g., unknown URLs, emails, financial actions) and low-risk, local actions that can proceed freely. - Gives concrete, practical rules for package installation safety and credential handling (no logging/printing, proper storage and permissions, no external sharing). **Risks / Limitations** - Human-in-the-loop requirement for many actions can significantly slow or block fully automated workflows. - It is a policy/protocol; actual safety depends on correct implementation and adherence by the agent runtime (it does not itself enforce technical sandboxing or isolation). - Some edge cases may still be ambiguous (e.g., what counts as a "known" service or "trusted" source) and require additional, environment-specific policy. **Recommended scenarios** - As a baseline security skill enabled by default for any general-purpose agent that can touch the network, handle credentials, or perform irreversible operations. - For organizational or production deployments where preventing accidental data leakage or risky external actions is more important than maximum automation speed. - As a complementary control alongside more technical defenses (sandboxing, rate limits, allowlists) to improve overall operational security of agents.

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