siem-rules

siem-rules is a Blue team & detection skill for AI agents, published by UnitOneAI in the SecuritySkills repository on GitHub. Skillspace rates siem-rules F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Guides development of SIEM detection rules using KQL (Microsoft Sentinel) and SPL (Splunk) query languages, mapped to MITRE ATT&CK v16 techniques. Auto-invoked when the user needs to write SIEM queries, tune alert thresholds, build correlation rules, or manage the detection rule lifecycle. Produces production-ready queries with detection logic patterns, threshold tuning guidance, and lifecycle management.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
32

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
63 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • prompt-injection: ignore-previous
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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