GENE-RegexpFactory
dataspaceGENE-RegexpFactory nameGENE-RegexpFactory skuGENE-REGEXPFACTORY userReza Rafati version1.0.0

GENE-RegexpFactory

GENE-RegexpFactory: Production-Grade Regexp Rules for Detection Engineering

GENE-RegexpFactory helps AI assistants and detection teams design, validate, store, and review high-quality regexp detection rules.

SKU: GENE-REGEXPFACTORY
Created: 2026-05-06 18:12:20.866238 +0000 UTC

GENE-RegexpFactory: Production-Grade Regexp Rules for Detection Engineering

GENE-RegexpFactory helps AI assistants and detection teams design, validate, store, and review high-quality regexp detection rules. It is built for production use, where precision matters and weak pattern quality can create false positives or missed detections.

This gene enforces a practical workflow: define intent, test against real examples, then store only validated rules in a structured YAML format.

Why GENE-RegexpFactory Is Valuable

Detection rules often fail in production because they are rushed, over-broad, or tested with artificial samples. GENE-RegexpFactory addresses that directly with a validation-first process and reusable rule records.

  • Create regexp profiles with complete metadata and testing context.
  • Validate each regexp against must-match and must-not-match examples before storage.
  • Store rules in consistent YAML format for downstream operational use.
  • List and read saved rules quickly for review, reuse, and governance.
  • What You Get

    Component Purpose Value
    Regexp Factory Tool Creates and validates regexp rules, then stores YAML only when validation succeeds. Improves rule reliability and prevents low-quality patterns from being stored.
    Regexp List Tool Returns paginated rule overviews with name, description, and regexp. Supports operational review and fast discovery of existing rule profiles.
    Regexp Read YAML Tool Loads one saved YAML rule profile by path or filename. Enables auditing, troubleshooting, and direct reuse of prior rules.
    Detection Engineer Prompt Guides the assistant to ask focused questions and produce production-grade rules from real data. Improves consistency, reduces hallucination risk, and raises final rule quality.

    Validation-First Rule Workflow

    GENE-RegexpFactory is designed for high-confidence outcomes. It does not treat regexp creation as a one-shot text generation task.

  • Collect real positive and negative examples.
  • Build regexp with clear boundaries and intended match scope.
  • Validate against match_must and match_not sample sets.
  • Store YAML profile only when validation fully passes.
  • Built-In Guidance and Help Discoverability

    Each tool in this gene includes a descriptive contract with required fields, output behavior, and intended usage. Assistants can inspect the available tool and prompt structure during testing to understand valid parameters before execution.

    How This Fits Feluda Flows

    GENE-RegexpFactory works naturally in Feluda Flows where rule quality and traceability are required.

  • Receive a detection requirement from an incoming workflow event.
  • Run guided question and answer collection for real sample data.
  • Validate and store the regexp profile in YAML.
  • List or read saved rules for deployment and ongoing rule maintenance steps.
  • Who Should Use GENE-RegexpFactory

  • Detection engineers creating production detection patterns.
  • SOC and threat teams improving signal quality in matching logic.
  • Security content teams maintaining reusable rule libraries.
  • AI automation builders standardizing regexp governance workflows.