cloudflare/security-audit-skill

A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings

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Summary Information

Updated 26 minutes ago
Added to GitGenius on September 15th, 2026
Created on June 18th, 2026
Open Issues & Pull Requests: 16 (+0)
GitHub issues: Enabled
Number of forks: 470
Total Stargazers: 8,462 (+247)
Total Subscribers: 31 (-1)

Repository Insights (GitGenius)

Median issue/PR response: 15.1 hours
Mean response time: 2.7 days
90th percentile: 4.7 days
Tracked items: 2

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Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 44 days
Stale 30+ days: 2
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Security-audit-skill is a coding-agent skill that enables multi-phase security audits with independently verified, machine-readable findings.

The tool addresses the challenge of conducting thorough security audits by providing a structured skill that can be integrated into coding agents. It breaks audits into multiple phases and ensures that findings are both independently verified and output in machine-readable formats, allowing audit results to be processed programmatically rather than requiring manual interpretation of reports.

Teams should adopt this tool if they are already working with coding agents and need to incorporate security auditing capabilities into their workflows. It suits projects where audit findings need to be machine-parseable for integration with other security tools, compliance systems, or automated remediation pipelines. The emphasis on independent verification suggests it is designed for scenarios where audit credibility and reproducibility matter, such as regulated environments or security-critical applications.

The project shows active development with regular commits addressing bug fixes and feature improvements. Work spans multiple areas including core audit functionality, agent integration, and output formatting. The codebase receives ongoing refinement with attention to both new capabilities and stability of existing features.