trigger-optimizer

Adjust scan trigger points and batch security rules to optimize guardrail compute efficiency.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses excessive compute costs and inefficient resource usage within the Guardrails harness by optimizing scan triggers and rule batching.

Core Features & Use Cases

  • Scan Trigger Optimization: Shifts expensive continuous scans to high-value pre-commit trigger points.
  • Rule Batching: Consolidates guardrail rules to reduce overall compute overhead.
  • Use Case: Use this when you need to reduce token usage or compute waste in your CI/CD pipeline without compromising the integrity of your security boundaries.

Quick Start

Run the trigger-optimizer skill to inspect the current Guardrails configuration and propose a patch to move scan triggers to pre-commit.

Frequently Asked Questions about trigger-optimizer

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

FAQPage Schema
How do I reduce guardrail compute costs in my CI/CD pipeline?

Reduce guardrail compute costs by shifting expensive continuous scans to high-value pre-commit trigger points and batching security rules to minimize overall resource waste without compromising security boundaries.

What is guardrail rule batching and how does it optimize compute?

Guardrail rule batching optimizes compute by consolidating multiple security rules into grouped execution sets, reducing the overall compute overhead and token usage required during pipeline scans.

How do I move security scan triggers to pre-commit?

Move security scan triggers to pre-commit by analyzing your existing guardrail configurations and applying targeted rule adjustments that shift continuous scans to earlier, high-value trigger points.

Can I optimize token usage in my CI/CD pipeline without weakening security boundaries?

Optimize token usage in your pipeline without weakening security boundaries by adjusting scan trigger points and batching guardrail rules to eliminate resource waste while maintaining security integrity.

When should I optimize guardrail scan triggers in my DevOps workflow?

Optimize guardrail scan triggers when you experience excessive compute costs or inefficient resource usage in your pipeline, specifically when continuous scans consume unnecessary tokens and compute overhead.

Does trigger optimization work with existing guardrail configurations?

Trigger optimization works with existing guardrail configurations by inspecting current setups and proposing patches to move scan triggers to pre-commit points, requiring no replacement of existing security rules.