Security_Audit
ListedHelps with security, auditing as part of implementing security and authentication workflows.
Install on your platform
security_audit. cityfish91159/maihouses is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
cityfish91159
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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About this skill
What it does
The security_audit skill performs automated scans of provided text, identifying potential vulnerabilities and risks. It can analyze code snippets, configuration files, or even natural language descriptions of systems to highlight areas needing attention. The audit results are presented as a structured report detailing identified issues and suggested remediation steps.
When to use it
- Code Review: Quickly assess new code for common security flaws before merging into a larger project.
- Configuration Analysis: Evaluate infrastructure configurations (e.g., cloud settings, firewall rules) for misconfigurations that could expose systems.
- Security Documentation Review: Check descriptions of security protocols or system architectures for inconsistencies or potential weaknesses.
- Vulnerability Hunting: Proactively search for vulnerabilities in existing codebases or systems.
Key capabilities
- Automated vulnerability scanning
- Structured report generation
- Identification of common security flaws
- Remediation suggestions
Example prompts
- "Perform a security audit on this Python script: [script content]"
- "Analyze this Kubernetes configuration file for potential vulnerabilities."
- "Can you review this description of our authentication system and identify any weaknesses?"
Tips & gotchas
The effectiveness of the skill depends heavily on the quality and completeness of the input provided. Large or complex codebases may require iterative analysis to ensure thorough coverage.