What is ADSR in the context of this skill?

ADSR stands for Proactive Deviation Detection. It monitors for anomalies such as unusual token spikes or scope creep during the development cycle to alert the human operator.

What are the 'Big 5' code quality checks?

The Big 5 framework targets the most common AI-generated issues: missing input validation, unhandled edge cases, poor error handling, code duplication, and excessive logic complexity.

How is the R-factor score calculated?

The R-factor is a weighted score from 0.0 to 1.0 based on test pass rates, acceptance criteria, scope accuracy, security findings, budget compliance, and the first-try merge rate.

Can this skill prevent security vulnerabilities?

Yes, it includes specific checks for SQL injection patterns and ensures that every endpoint uses validation schemas like Zod or Pydantic.

AI Code Quality Guard

Name: AI Code Quality Guard
Author: ariaxhan

byariaxhan

•

セキュリティとテスト

Enforces rigorous code quality standards and security audits for AI-generated code through the Big 5 methodology.

The Quality skill addresses the increased bug density in AI-generated code by implementing the 'Big 5' validation framework: input validation, edge cases, error handling, duplication, and complexity checks. Beyond simple linting, it introduces the R-factor—a sophisticated composite score that evaluates code based on test pass rates, security, and scope accuracy. By integrating proactive deviation detection (ADSR), this skill monitors for behavioral anomalies like scope creep or unusual token usage, ensuring that AI-assisted development remains high-quality, secure, and production-ready.

主な機能

01Automated Security Audits: Scans for SQL injection, missing schema validations, and unsafe catch blocks using Grep and Bash.

02Enforced Verdicts: Implements a strict 'Fix before commit' policy for any Big 5 violations.

03Proactive Deviation Detection (ADSR): Identifies and alerts on behavioral anomalies like token spikes or scope creep.

04Big 5 Validation: Automates checks for input validation, edge cases, error handling, duplication, and complexity.

05R-factor Scoring: Generates a composite quality metric (0.0 to 1.0) to determine production readiness.

069 GitHub stars

ユースケース

01Hardening AI-generated code before merging into production branches.

02Tracking code quality improvements over time using historical R-factor metrics.

03Automating code reviews to identify technical debt and security vulnerabilities.

主な機能

01Automated Security Audits: Scans for SQL injection, missing schema validations, and unsafe catch blocks using Grep and Bash.

02Enforced Verdicts: Implements a strict 'Fix before commit' policy for any Big 5 violations.

03Proactive Deviation Detection (ADSR): Identifies and alerts on behavioral anomalies like token spikes or scope creep.

04Big 5 Validation: Automates checks for input validation, edge cases, error handling, duplication, and complexity.

05R-factor Scoring: Generates a composite quality metric (0.0 to 1.0) to determine production readiness.

069 GitHub stars

ユースケース

01Hardening AI-generated code before merging into production branches.

02Tracking code quality improvements over time using historical R-factor metrics.

03Automating code reviews to identify technical debt and security vulnerabilities.