detection-engineering
detection-engineering is a Blue team & detection skill for AI agents, published by UnitOneAI in the SecuritySkills repository on GitHub. Skillspace rates detection-engineering F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Guides creation of detection rules using Sigma rule specification and the Palantir Alerting and Detection Strategy (ADS) framework, mapped to MITRE ATT&CK v16 techniques. Auto-invoked when the user discusses detection logic, Sigma rules, ATT&CK coverage gaps, or asks "how do I detect this technique?" Produces Sigma-formatted detection rules, ADS documentation, and coverage heatmap methodology for systematic detection program 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
- 65 / 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
- exfiltration language
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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