How long does a full production-readiness audit take?

The process is performed in five distinct batches of up to 10 explorers each to ensure thorough coverage while managing system context limits effectively.

What standards does the audit use as a reference?

The audit aligns with Bee engineering standards, which it dynamically fetches from its canonical repository to ensure the most current best practices are applied.

Does it support both frontend and backend projects?

Yes, it includes stack detection logic for PHP, TypeScript, React, Next.js, and general Docker environments, adjusting its audit dimensions accordingly.

What kind of output can I expect from the audit?

It generates a detailed Markdown report with a final score (0-440), categorizing findings by severity and providing specific code references for remediation.

Can this skill detect hardcoded secrets and security flaws?

Yes, dedicated dimensions cover secret scanning, IDOR vulnerabilities, SQL safety, and data encryption at rest.

Production Readiness Auditor

Name: Production Readiness Auditor
Author: luanrodrigues

byluanrodrigues

•

Security & Testing

Conducts comprehensive 44-dimension production-readiness audits aligned with Bee engineering standards to ensure high-quality, stable software deployments.

The Production Readiness Audit skill is a sophisticated multi-agent system designed to evaluate codebase maturity across five critical domains: Structure, Security, Operations, Quality, and Infrastructure. By automatically detecting the project stack and fetching the latest Bee development standards, it executes targeted 'explorers' in optimized batches to prevent context bloat. The result is a detailed, scored report that identifies technical debt, security vulnerabilities, and operational gaps, providing developers with a clear roadmap for achieving production-grade stability and compliance.

Key Features

0144-dimension evaluation covering Security, Infrastructure, and Code Quality

02Batch execution protocol to handle large codebases without context overflow

03Quantified scoring system (0-440) with severity ratings and standards cross-referencing

042 GitHub stars

05Dynamic standards loading via WebFetch for real-time compliance alignment

06Automated stack detection for PHP, TypeScript, React, and Docker projects

Use Cases

01Onboarding assessment to identify architectural gaps in newly acquired or inherited projects

02Pre-deployment validation to ensure applications meet high-stakes production requirements

03Periodic technical debt and security reviews for legacy codebase modernization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add luanrodrigues/ia-frmwrk production-readiness-audit

For use in Claude.ai and ChatGPT

Key Features

0144-dimension evaluation covering Security, Infrastructure, and Code Quality

02Batch execution protocol to handle large codebases without context overflow

03Quantified scoring system (0-440) with severity ratings and standards cross-referencing

042 GitHub stars

05Dynamic standards loading via WebFetch for real-time compliance alignment

06Automated stack detection for PHP, TypeScript, React, and Docker projects

Use Cases

01Onboarding assessment to identify architectural gaps in newly acquired or inherited projects

02Pre-deployment validation to ensure applications meet high-stakes production requirements

03Periodic technical debt and security reviews for legacy codebase modernization