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heady-ghost-protocol

Simulate proposed deployment actions against cloned state before production.

1|Updated Mar 24, 2026
Search Tags:#simulation#risk-assessment#safe-deployments#csl-gates#ghost-protocol#shadow-execution#state-cloning
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-ghost-protocol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: heady-ghost-protocol
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-ghost-protocol
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-ghost-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ghost protocol enables safe deployments by validating proposed actions in a shadow, non-destructive environment before live execution.

Core Features & Use Cases

  • Consequence scoring to quantify risk and gating.
  • State cloning and ghost execution to simulate impact without touching production.
  • Impact analysis and CSL gate validation to decide next steps or require approvals.
  • Supports deployment, migrations, routing changes, and configuration updates with staged rollout.

Quick Start

Run a ghost protocol check on a proposed deployment to staging to validate safety before production.

Frequently Asked Questions about heady-ghost-protocol

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

FAQPage Schema
How do I run shadow execution simulations for safe deployments?▼

State cloning duplicates your current environment, allowing ghost execution to simulate proposed migrations or configuration changes safely. This provides impact analysis data to validate safety before any live production rollout.

Can I simulate database migrations and configuration changes without impacting production?▼

Yes, ghost protocol supports migrations, routing changes, and configuration updates by simulating them against a cloned state. This staged rollout approach enables impact analysis and consequence scoring before live execution.

How does consequence scoring work for deployment risk assessment?▼

Consequence scoring quantifies risk by analyzing simulated ghost execution impacts on a cloned state. These scores feed into CSL gate validation with defined thresholds to decide next steps or require approvals before production.

What are the limitations of using a cloned state for deployment risk assessment?▼

Cloned state simulations may not capture real-time production traffic or external system dependencies accurately. CSL gate validation thresholds require careful tuning to avoid false safety assessments during staging environment tests.

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