detection-engineering
detection-engineering is a Blue team & detection skill for AI agents, published by refractionPOINT in the lc-ai repository on GitHub. Skillspace rates detection-engineering D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Expert Detection Engineer assistant for creating and testing D&R rules in LimaCharlie. Guides through understanding threats, researching event data (Schema, LCQL, Timeline), generating detection logic, testing rules against sample and historical data, and deploying validated rules. Use for building detections, writing D&R rules, testing detection logic, or when user wants to detect specific behaviors or threats.
- Grade
- D
- Quality
- 62 / 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
- 96 / 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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