detection-engineering
detection-engineering is a Blue team & detection skill for AI agents, published by brucesongs in the kali-claw repository on GitHub. Skillspace rates detection-engineering D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Detection-as-code engineering covering Sigma rule authoring, YARA signature development, Splunk SPL / Kusto KQL / Elastic EQL queries, MITRE ATT&CK mapping, detection CI/CD pipelines, false-positive tuning, and rule testing against EVTX-ATTACK-SAMPLES — using SigmaHQ, Yara-Rules, Loki, yarGen, hayabusa, SigmaCLI, and zircollo.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 39
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
- 77 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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