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template-library

Manage prompt template libraries and injection-order rules for AI harnesses.

Updated May 11, 2026
Search Tags:#templates#injection#configuration#prompt#capability#harness
One-click install
npx skills add https://github.com/AesopScott/mojo --skill template-library-aesopscott
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: template-library
Source: https://github.com/AesopScott/mojo/tree/main/harnesses/skills/template-library
Command: npx skills add https://github.com/AesopScott/mojo --skill template-library-aesopscott

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured way to manage prompt templates and injection-order rules, preventing accidental authority expansion when modifying the Prompt harness.

Core Features & Use Cases

  • Capability Control: Adds a template library to define and restrict the instruction payload.
  • Injection-Order Rules: Enforces specific ordering for prompt shapes, cache prefixes, and context removal.
  • Use Case: When you need to add a new capability to the Prompt harness, use this Skill to define the smallest possible rule change and verify it through positive and boundary testing before implementation.

Quick Start

Use the template-library skill to inspect the current prompt boundary and propose a controlled implementation patch for the new capability.

Frequently Asked Questions about template-library

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

FAQPage Schema
How do I prevent prompt injection from causing accidental authority expansion?▼

A prompt template library prevents accidental authority expansion by managing prompt shapes and enforcing strict injection-order rules. It requires adherence to control levers to ensure bounded, testable changes before implementation.

How do I add a new capability to a prompt harness without breaking existing configurations?▼

Adding a capability to a prompt harness safely requires defining the smallest possible rule change via a template library. You must verify the implementation patch through positive and boundary testing before applying it.

What is the best way to manage prompt template libraries for safety-critical configuration updates?▼

Managing prompt template libraries for safety-critical configuration updates requires applying strict injection-order rules. This maintains capability boundaries within AI harnesses by controlling cache prefixes and context removal.

Why does prompt injection order matter when refining system instructions?▼

Prompt injection order matters because it enforces specific ordering for prompt shapes, cache prefixes, and context removal. Without these rules, system instruction refinement risks uncontrolled capability boundary expansion within AI harnesses.

Can I use a template library to inspect current prompt boundaries before proposing a patch?▼

Yes, you can use a template library to inspect the current prompt boundary. It enables you to propose a controlled implementation patch for new capabilities by applying defined control levers and verification procedures.

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