detection-tuner
OfficialTune noisy alerts with human-in-the-loop FP rules
AuthorrefractionPOINT
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill investigates noisy alerts and guides the creation of false positive (FP) rules through a structured, human-in-the-loop workflow to reduce alert fatigue.
Core Features & Use Cases
- Data-driven detection analysis, time windows, and pattern identification
- Multi-phase FP rule generation, testing, and deployment with operator approval
- Transparent reporting of what will be suppressed and why
Quick Start
Analyze seven days of detections, review noisy patterns, and request operator approval to deploy FP rules.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: detection-tuner Download link: https://github.com/refractionPOINT/lc-ai/archive/main.zip#detection-tuner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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