What is autonomous agent readiness?

It is a measure of how well a codebase supports unattended execution by AI agents, focusing on sandbox isolation, environment stability, and verifiable outputs.

How does this skill evaluate my project?

It scans your repository for CI/CD configs, containerization, and test patterns, then scores the project across twelve dimensions against proven autonomy principles.

Why is database independence important for agents?

Independence allows agents to create ephemeral local databases inside a sandbox, preventing shared state conflicts and ensuring reproducible, deterministic runs.

What kind of recommendations does it provide?

It offers specific, prioritized actions to fix infrastructure gaps, ranging from immediate 'quick wins' to long-term architectural investments like containerization.

Can this skill help reduce AI agent failure rates?

Yes, by identifying system design failures—the primary cause of agent errors—and recommending infrastructure patterns that support robust, independent operation.

Autonomous Agent Readiness

Name: Autonomous Agent Readiness
Author: petekp

bypetekp

•

Despliegue y DevOps

Evaluates your codebase for autonomous agent compatibility and provides actionable recommendations to improve AI-ready infrastructure.

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The Autonomous Agent Readiness skill audits your project against twelve core principles of agent autonomy, identifying bottlenecks that prevent unattended AI execution. It scans project structure, CI/CD configurations, and test environments to provide a comprehensive readiness score and a prioritized roadmap for improvements. By assessing factors like sandbox isolation, environment reproducibility, and outcome-oriented design, this skill ensures your codebase is optimized for AI agents to work independently, reliably, and without constant human intervention.

Características Principales

Actionable readiness scoring and gap analysis
Verification of sandbox and environment reproducibility
1 GitHub stars
Comprehensive 12-point infrastructure audit
Prioritized roadmap for improving agent autonomy
Assessment of database independence and security permissions

Casos de Uso

Evaluating a legacy project before integrating autonomous AI workflows
Auditing CI/CD pipelines to ensure they support unattended agent execution
Preparing a codebase for high-reliability AI agent deployments

Acerca de

Características Principales

Actionable readiness scoring and gap analysis
Verification of sandbox and environment reproducibility
1 GitHub stars
Comprehensive 12-point infrastructure audit
Prioritized roadmap for improving agent autonomy
Assessment of database independence and security permissions

Casos de Uso

Evaluating a legacy project before integrating autonomous AI workflows
Auditing CI/CD pipelines to ensure they support unattended agent execution
Preparing a codebase for high-reliability AI agent deployments