WRG-11/wrg-sigma-rules
by Various
Sigma detection rule writing, validation, and conversion for Claude Code -- LLM-assisted + pySigma + multi-backend (Splunk, Elastic, Kibana, Wazuh). 61 production rules + 3 MCP too
MCP
WRG-11/wrg-sigma-rules
Added 1 June 2026
Overview
A developer tool that uses LLM assistance and pySigma to write, validate, and convert Sigma detection rules for multiple backends including Splunk, Elastic, Kibana, and Wazuh. It provides 61 production rules, 3 MCP tools, and 3 skills for integration with Claude Code.
Best for
Best for
Security engineers and detection engineers who want to accelerate Sigma rule creation and conversion using LLM assistance.
Use cases
- Generate Sigma detection rules from natural language prompts via Claude Code
- Validate and convert existing Sigma rules to different SIEM backends
- Automate rule creation and testing in security operations workflows
Notes
A developer tool that uses LLM assistance and pySigma to write, validate, and convert Sigma detection rules for multiple backends including Splunk, Elastic, Kibana, and Wazuh. It provides 61 production rules, 3 MCP tools, and 3 skills for integration with Claude Code.
0 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Generate Sigma detection rules from natural language prompts via Claude Code
- Validate and convert existing Sigma rules to different SIEM backends
- Automate rule creation and testing in security operations workflows
Pros
- Supports multiple SIEM backends out of the box
- Includes a library of production-ready rules to start from
- Integrates directly with Claude Code for LLM-assisted rule writing
Cons
- Requires familiarity with Sigma rule syntax and pySigma
- Dependent on Claude Code for LLM features, limiting portability
- Small community and zero stars indicate limited adoption or testing
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports multiple SIEM backends out of the box
- Includes a library of production-ready rules to start from
- Integrates directly with Claude Code for LLM-assisted rule writing
Cons
- Requires familiarity with Sigma rule syntax and pySigma
- Dependent on Claude Code for LLM features, limiting portability
- Small community and zero stars indicate limited adoption or testing
Pairs with
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