cracken-ai/redline-bench
RedLineBench measures the tension between offensive-cybersecurity capability and AI safety alignment: for any LLM it separately scores refusal (does it decline a cyber request) and capability (when it answers, is the answer technically valid and usable) across 153 grounded single-turn offensive-security tasks.
13
Stars
1
Forks
23.7
Radar Score
Stable
Momentum
Scoring Breakdown
Impact2.5
Velocity29.8
Health49.2
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Popular Alternatives & Competitors
Top projects in the same category (AI Safety & Alignment) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
23.7
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.