What are Plurigrid/ASI safety hooks?

These are programmable guardrails that intercept linter findings to identify patterns that violate AI safety protocols or system-level security policies.

How does the color mapping work?

Diagnostics are assigned a 'trit' and color range: Errors are Cold/Blue (-1), Warnings are Neutral/Green (0), and Info messages are Warm/Red (+1).

What is GF(3) conservation in this context?

GF(3) conservation is a mathematical requirement where the sum of trits (-1 for errors, 0 for warnings, +1 for info) for diagnostics must be congruent to 0 mod 3, ensuring a balanced and compositionally coherent report.

Is this compatible with existing clj-kondo configurations?

Yes, it extends your existing .clj-kondo/config.edn with additional metadata and hooks without breaking standard linting functionality.

Clojure 3-Color Linter (clj-kondo)

Name: Clojure 3-Color Linter (clj-kondo)
Author: plurigrid

byplurigrid

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开发者工具

Integrates clj-kondo with Gay.jl 3-color streams to provide deterministic, ternary-coded diagnostic feedback for Clojure development.

关于

This skill enhances the standard clj-kondo linter by mapping diagnostics to a Galois Field (GF(3)) ternary system, ensuring compositional coherence through GF(3) conservation rules. It provides developers with deterministic color-coded visual feedback (Cold, Ergodic, or Warm) for errors, warnings, and info messages while offering parallel linting capabilities and Plurigrid/ASI safety hooks. It is particularly useful for teams requiring high-integrity Clojure analysis with mathematical safety guarantees and specialized visual classification of code quality issues.

主要功能

2 GitHub stars
Parallel linting with SPI-compliant color forking for consistent performance.
Automated GF(3) conservation checks to ensure diagnostic coherence across findings.
Visual feedback via color-coded palettes (Cold, Neutral, and Warm).
Plurigrid/ASI safety hooks to enforce programmable guardrails during analysis.
Deterministic GF(3) diagnostic mapping for error, warning, and info levels.

使用场景

Implementing ASI safety-aware linting to detect and block unsafe patterns in critical infrastructure.
Visualizing diagnostic patterns in large Clojure codebases using deterministic color-coded logic.
Accelerating CI/CD linting workflows via deterministic parallel analysis with visual reports.

关于

主要功能

2 GitHub stars
Parallel linting with SPI-compliant color forking for consistent performance.
Automated GF(3) conservation checks to ensure diagnostic coherence across findings.
Visual feedback via color-coded palettes (Cold, Neutral, and Warm).
Plurigrid/ASI safety hooks to enforce programmable guardrails during analysis.
Deterministic GF(3) diagnostic mapping for error, warning, and info levels.

使用场景

Implementing ASI safety-aware linting to detect and block unsafe patterns in critical infrastructure.
Visualizing diagnostic patterns in large Clojure codebases using deterministic color-coded logic.
Accelerating CI/CD linting workflows via deterministic parallel analysis with visual reports.