tiered-verifier

Scale verification effort to risk tiers for system calls.

Updated May 11, 2026
One-click install
npx skills add https://github.com/AesopScott/mojo --skill tiered-verifier
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tiered-verifier
Source: https://github.com/AesopScott/mojo/tree/main/harnesses/skills/tiered-verifier
Command: npx skills add https://github.com/AesopScott/mojo --skill tiered-verifier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the issue of over-verification in software harnesses, where low-risk operations consume excessive compute, tokens, or human review time by applying unnecessary scrutiny.

Core Features & Use Cases

  • Risk-Tiered Scaling: Dynamically adjusts verification intensity based on the risk profile of the request.
  • Cost Efficiency: Reduces waste by ensuring high-effort checks are reserved only for high-risk operations.
  • Use Case: When modifying a verification harness, use this skill to implement a rule that skips deep evidence analysis for low-risk internal API calls while maintaining strict checks for external-facing transactions.

Quick Start

Use the tiered-verifier skill to analyze the current Verify harness and propose a cost-saving rule for low-risk route calls.

Frequently Asked Questions about tiered-verifier

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

FAQPage Schema
How do I reduce verification costs for low-risk system calls in my testing harness?

You can reduce verification costs by scaling verification effort to risk tiers, which prevents over-verification of low-risk system calls by reserving high-effort checks exclusively for high-risk operations.

What is risk-tiered verification and how does it optimize automated testing boundaries?

Risk-tiered verification is a method that dynamically adjusts verification intensity based on request risk profiles, optimizing automated testing boundaries by skipping deep evidence analysis for safe internal API calls.

How do I implement targeted verification gates in a software engineering workflow?

To implement targeted verification gates, analyze existing configuration, policy, and performance metrics to establish rules that apply strict scrutiny to external-facing transactions while bypassing low-risk routes.

Can I skip deep evidence analysis for internal API calls while maintaining strict checks for external transactions?

Yes, you can apply risk-tiered scaling to skip deep evidence analysis for low-risk internal API calls while maintaining strict verification checks for external-facing transactions to optimize compute and token usage.

What's the best way to analyze a Verify harness for cost-saving rule implementation?

The best way to analyze a Verify harness for cost-saving rules is to evaluate existing performance metrics and policies to identify low-risk route calls where verification intensity can be safely scaled down.

When should I not use risk-tiered scaling in my verification harness?

You should not use risk-tiered scaling when all system calls carry equal critical risk or when your workflow lacks the configuration and performance metrics needed to accurately classify operation risk profiles.