read_aloud_injection_guard

Name: read_aloud_injection_guard
Availability: InStock
Author: idandavidaviv

Enforce verbatim parity for Read Aloud extension content injections.

2|Updated Mar 26, 2026

Search Tags:#mcp #read-aloud #ai-extension #verbatim-parity #injection-safety #parity-rules

Ready to run

npx skills add https://github.com/IdanDavidAviv/virgo --skill read-aloud-injection-guard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: read_aloud_injection_guard
Source: https://github.com/IdanDavidAviv/virgo/tree/main/.agent/skills/read_aloud_injection_guard
Command: npx skills add https://github.com/IdanDavidAviv/virgo --skill read-aloud-injection-guard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Read Aloud Injection Guard enforces high-integrity content injections by ensuring parity between what the AI speaks and what it displays, preventing prompt hijacking and unsafe outputs in the Read Aloud extension.

Core Features & Use Cases

Enforces verbatim parity rules so audio and text remain in lockstep.
Documents and solidifies a deterministic workflow for surface content injections via say_this_loud.
Applies in scenarios where the agent must surface SITREPs or plans without leaking internal prompts, maintaining safety and auditable traces.

Quick Start

Enable the Read Aloud Injection Guard by following its protocol rules and only inject content with say_this_loud after verifying verbatim parity and meaningful prose.

Frequently Asked Questions about read_aloud_injection_guard

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

FAQPage Schema

How do I ensure verbatim parity between AI text and audio output?▼

Verbatim parity between AI text and audio output is ensured by enforcing structured formatting rules that keep spoken and displayed content in lockstep, preventing discrepancies during content injection.

What is the best way to prevent prompt hijacking in AI extension injections?▼

Preventing prompt hijacking in AI extension injections requires enforcing safety checks and verbatim parity rules before surfacing content, ensuring internal prompts are not leaked during delivery.

How do I surface SITREPs from an AI agent without leaking internal prompts?▼

Surfacing SITREPs without leaking internal prompts is achieved by applying structured content injections through a dedicated protocol, maintaining auditable traces while blocking internal prompt exposure.

Can I use verbatim parity rules for auditable AI content injections?▼

Yes, verbatim parity rules can be used for auditable AI content injections by verifying that audio and text outputs match exactly before delivery, creating a safe and readable trace.

Does the Read Aloud Injection Guard require any external dependencies?▼

The Read Aloud Injection Guard requires no external dependencies, operating independently to enforce content structure, safety checks, and explicit parity rules for audio and text delivery.

When do I need structured formatting rules for AI audio delivery?▼

Structured formatting rules for AI audio delivery are needed when injections must be auditable and readable, ensuring that spoken plans or SITREPs maintain verbatim parity with their text counterparts.