Audit source code for security and quality issues, outputting a JSON report.
npx skills add https://github.com/agulli/atlas-agents --skill code-review-agulli
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/agulli/atlas-agents/tree/main/ch09_agent_skills/skills/code-review Command: npx skills add https://github.com/agulli/atlas-agents --skill code-review-agulli
This Skill provides a structured approach to auditing source code for security vulnerabilities and quality issues before merging.
Load the target codebase and run the code-review skill to produce a structured JSON findings report.
High-intent search queries and answers about installing and using this skill.
To automate a source code security and quality audit, load your target codebase and run the code-review skill to execute structured checks across OWASP Top 10 vulnerabilities, logic errors, and style concerns, generating a structured JSON findings report.
Yes, pull request audits can check for OWASP Top 10 vulnerabilities and race conditions. The skill performs a prioritized security pass for vulnerabilities and a logic pass to detect race conditions, unhandled exceptions, and off-by-one errors.
The best way to generate a structured vulnerability assessment report is to run an automated code audit. This skill outputs a JSON report detailing the severity, file, line number, and description of each security vulnerability and quality issue found.
Yes, this static analysis tool flags readability and maintainability concerns. During its style pass, it identifies style issues such as long functions and deep nesting to help enforce quality gates before merging.
A code review detects specific logic errors including unhandled exceptions, race conditions, off-by-one errors, and mutable defaults. These issues are identified during the logic pass and documented in the final JSON report.
The code review audit outputs vulnerability findings in a structured JSON format. This report includes the severity level, affected file, line number, and a description of each detected security vulnerability or quality issue.
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