Apply OWASP ASVS 5.0 to review a PAM-monitoring C daemon for security risks.
npx skills add https://github.com/anhtuank7c/pamsignal --skill owasp-review
Please help me install this Agent Skill. Skill: owasp-review Source: https://github.com/anhtuank7c/pamsignal/tree/main/.claude/skills/owasp-review Command: npx skills add https://github.com/anhtuank7c/pamsignal --skill owasp-review
This security skill provides a structured methodology to assess a PAM-monitoring Linux daemon against OWASP ASVS 5.0, helping identify weaknesses in code, configuration, and runtime behavior.
Run the ASVS-based security review on the PAM-monitoring codebase using the provided tools and produce a structured report.
High-intent search queries and answers about installing and using this skill.
To perform an OWASP ASVS security review on a C daemon, apply the ASVS 5.0 checklist to the source tree, build configuration, and runtime service files to identify risks and generate actionable remediation recommendations.
Yes, you can audit a PAM-monitoring app integrated with systemd by evaluating the C codebase and system integration, specifically checking the daemon that monitors PAM authentication events via the systemd journal for security weaknesses.
An ASVS code audit for system daemons includes the source tree, build configuration, runtime service files, and potential hardening gaps, providing structured verification findings and evidence-backed details for common audit scenarios.
You identify hardening gaps in a Linux daemon by applying standard audit tools against the runtime service files and build configuration, producing structured verification findings and evidence-backed remediation recommendations.
Yes, this security review methodology supports compliance teams by applying OWASP ASVS 5.0 to verify threat-mitigation controls, producing structured findings and actionable remediation evidence for governance.
The best way to generate evidence-backed remediation items for a C codebase is running an ASVS-based evaluation to identify weaknesses in code and configuration, yielding structured verification findings and actionable recommendations.
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