Detection Query Optimizer
Skill497 starsChanged 8 months agoNo licenceView on GitHub
Optimize detection queries for performance across Splunk (SPL), Microsoft Sentinel (KQL), and Elastic Security (EQL/ES|QL). Covers search pipeline internals, common anti-patterns, and optimization techniques for detection rules on each platform.
We split this skill into the rules it gives an agent
20 rules. About 0 are common, 7 are distinctive, and 13 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈7
Distinctive · estimate
This author's own choices. Worth a look.
13
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
In this repository20 other files it gives its agents.
- .cursor/rules/contentctl-path.mdcCursor rule
- .cursor/rules/detection-validation.mdcCursor rule
- .cursor/rules/linux-testing-workflow.mdcCursor rule
- .cursor/rules/pip-install.mdcCursor rule
- .cursor/rules/self-healing.mdcCursor rule
- .cursor/rules/validation-tools.mdcCursor rule
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

