d-and-r-rules

d-and-r-rules is a Blue team & detection skill for AI agents, published by refractionPOINT in the lc-ai repository on GitHub. Skillspace rates d-and-r-rules F (52/100) and it passed the safety scan; the rating is based on static analysis only.

Working with Detection & Response rules in LimaCharlie — AI-assisted generation, validation, unit testing, historical replay, deployment, FP rules, stateful rules, behavioral detection patterns, suppression, alternate detection targets, and response actions. Use when creating, testing, modifying, or managing D&R rules, false positive rules, or understanding detection patterns.

Grade
F
Quality
52 / 100
Safety
Passed
GitHub stars
29

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, so go by its current files.

Our review

Architecture
78 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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