log-analysis-security
Execute log analysis security operations. Auto-activating skill for Security Advanced. Triggers on: log analysis security, log analysis security Part of the Security Advanced skill category. Use when working with log analysis security functionality. Trigger with phrases like "log analysis security", "log security", "log". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill log-analysis-security --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Log Analysis Security ## Overview This skill provides automated assistance for log analysis security tasks within the Security Advanced domain. ## When to Use This skill activates automatically when you: - Mention "log analysis security" in your request - Ask about log analysis security patterns or best practices - Need help with advanced security skills covering penetration testing, compliance
What does the log-analysis-security skill do?
Execute log analysis security operations. Auto-activating skill for Security Advanced. Triggers on: log analysis security, log analysis security Part of the Security Advanced skill category. Use when working with log analysis security functionality. Trigger with phrases like "log analysis security", "log security", "log". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill log-analysis-security --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.