hermes-labs-ai/lintlang

Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, deterministic checks, built for CI.

60
Stars
1
Forks
32.2
Radar Score
Stable
Momentum

Scoring Breakdown

Impact15.3
Velocity35.7
Health54.4

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Steady growth — consistently collecting stars and contributors.

AI Safety & Alignment · guardrailsTop 78% globally

🛡️ 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
32.2
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.

View on GitHub