OttoRenner/Gentle-Coding
An ongoing, collaborative meta-analysis about Human-AI-Interactions. We aggregate data and knowledge to build a non-abrasive, user-friendly prompting framework tailored to LLM mechanics, ensuring reasoning stability and a friction-free prompting environment that is safe for the human psyche and wellbeing.
110
Stars
7
Forks
34.0
Radar Score
Stable
Momentum
Scoring Breakdown
Impact24.8
Velocity35.5
Health46.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
HTML
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Safety & Alignment · guardrailsTop 75% globally
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
34.0
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.
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