leo-lilinxiao/codex-autoresearch
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
3.2k
Stars
130
Forks
55.9
Radar Score
Rising
Momentum
Scoring Breakdown
Impact74.6
Velocity42.6
Health44.5
Growth Metrics
7-Day Stars
+8
30-Day Stars
+8
Acceleration
1.00x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Popular Alternatives & Competitors
Top projects in the same category (AI Coding Tools) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
63%
Mixed Signals
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
55.9
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 1 open issues for 3,188 stars (0.0%).
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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