operon-guard

Verify AI agents with runtime trust checks before granting dangerous permissions.

1|Updated Mar 30, 2026
One-click install
npx skills add https://github.com/Arry8/openclaw-edge --skill operon-guard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: operon-guard
Source: https://github.com/Arry8/openclaw-edge/tree/main/skills/operon-guard
Command: npx skills add https://github.com/Arry8/openclaw-edge --skill operon-guard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pre-deployment and runtime verification for AI agents to detect unsafe behavior, prompt injection, and data leakage before granting dangerous permissions.

Core Features & Use Cases

  • Runtime trust scoring to assess determinism, safety, and reliability.
  • Concurrency testing and performance checks to prevent bottlenecks and deadlocks.
  • Use cases include guarding agents before enabling exec/spawn or file system access in production environments.

Quick Start

Run operon-guard test path/to/skill/ to verify an agent before deployment.

Frequently Asked Questions about operon-guard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify AI agent safety before granting file system access or exec permissions?

Verify AI agent safety before granting dangerous permissions by performing runtime trust checks. This detects unsafe behavior, prompt injection, and data leakage in pre-deployment pipelines and runtime evaluations across agent types and prompts.

What is runtime trust scoring for AI agents and how does it measure reliability?

Runtime trust scoring for AI agents assesses determinism, safety, and reliability. It enforces concurrency resilience, safety against prompt injection, and measurable latency thresholds to evaluate agent behavior before production deployment.

How do I test AI agents for prompt injection and data leakage vulnerabilities?

Test AI agents for prompt injection and data leakage by running pre-flight trust verification. This process evaluates agent prompts and permission requests to detect unsafe behavior before enabling exec, spawn, or file system access.

Does operon-guard support concurrency testing to prevent deadlocks in AI agents?

operon-guard supports concurrency testing and performance checks for AI agents. It prevents bottlenecks and deadlocks by enforcing determinism and concurrency resilience during runtime trust verification before granting dangerous permissions.

Can I use pre-flight trust verification for both pre-deployment pipelines and runtime evaluation?

Pre-flight trust verification applies to both pre-deployment pipelines and runtime evaluation across agent types. It enforces determinism, concurrency resilience, safety, and measurable latency thresholds before granting dangerous permissions.

What's the best way to enforce determinism and measurable latency thresholds in AI agents?

Enforce determinism and measurable latency thresholds in AI agents through runtime trust verification. This process performs concurrency testing and performance checks to prevent bottlenecks while assessing safety against prompt injection before deployment.