Review Python, Kubernetes, and AWS code for security and quality issues.
npx skills add https://github.com/pypeaday/dotfiles --skill code-review-pypeaday
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/pypeaday/dotfiles/tree/main/opencode/.config/opencode/skill/code-review Command: npx skills add https://github.com/pypeaday/dotfiles --skill code-review-pypeaday
This Skill provides a structured approach to reviewing Python code, Kubernetes configurations, and AWS policies to identify security gaps, architectural flaws, and maintainability issues.
Run the code-review skill on a repository to surface Python, Kubernetes, and AWS issues.
High-intent search queries and answers about installing and using this skill.
Automate security reviews for Python, Kubernetes, and AWS by running static analysis to detect misconfigurations, secrets leakage, and architectural risks in your pull requests. This skill audits IAM policies, manifests, and application code for threats.
Checking Kubernetes manifests for security misconfigurations involves applying static analysis and best-practice guidelines to identify architectural flaws and threat vulnerabilities during your code review process.
You can use static analysis to detect secrets leakage in Python pull requests by auditing the code for security gaps, anti-patterns, and hard-to-maintain structures before merging changes.
This code review process works for AWS IAM policies and Python apps by applying ruthless review guidelines to identify security vulnerabilities, performance bottlenecks, and unnecessary complexity across your infrastructure.
You need an automated code review for Kubernetes and AWS configurations during pull requests, onboarding, audits, and incident retrospectives to identify downstream problems and surface maintainability issues.
Static analysis for Python and AWS code reviews identifies code smells and architectural risks using best-practice guidelines, but requires human context to evaluate complex logic flows and downstream incident impacts.
jaskaranhundalScan Terraform, CloudFormation, Kubernetes, and Helm templates for security misconfigurations.
kmshihab7878Scan Docker images, Terraform, Kubernetes, and Python dependencies for security flaws.
SensLiaoAutomate static code analysis and security scanning on pull requests or CI pipelines.
cmaennerScan project dependencies for known CVEs across multiple ecosystems.
