How does it handle performance checks?

It scans for 'heavy' imports like Matplotlib or Pandas at the top level, ensuring they are loaded lazily only when needed to keep the plugin footprint small.

What does this skill audit in a CE plugin?

It audits metadata validity (ADR-006), capability tags (ADR-015), interval calibrator protocols (ADR-013), core/plugin boundaries, fallback visibility, and lazy import efficiency.

Why is the Venn-Abers delegation check important?

To preserve calibration guarantees, plugins must delegate probability math to reference logic; this audit ensures the plugin doesn't replace the math with non-conformant logic.

Does it support non-tabular data modalities?

Yes, it includes checks for ADR-033 modality contracts, covering images, audio, text, and time-series data types.

Calibrated Explanations Plugin Auditor

Name: Calibrated Explanations Plugin Auditor
Author: Moffran

byMoffran

•

Data Science & ML

Audits Calibrated Explanations (CE) plugin implementations for compliance with metadata standards, ADR contracts, and mathematical protocols.

The Calibrated Explanations Plugin Auditor is a specialized tool designed to ensure that extensions to the Calibrated Explanations framework maintain strict architectural and mathematical integrity. It performs deep inspections of plugin metadata, capability tags, and protocol implementations to guarantee that calibration guarantees—such as Venn-Abers logic—remain intact. By enforcing boundaries between core implementation and plugin logic, and verifying essential practices like lazy loading and visible fallback logging, this skill helps developers build reliable, production-ready machine learning explainability tools that adhere to the CE ecosystem's rigorous standards.

Key Features

01Standardized audit report generation with detailed PASS/FAIL metrics

02Detection of eager heavy imports to ensure package performance

03Verification of Interval Calibrator protocols and Venn-Abers delegation

0475 GitHub stars

05Automated validation of plugin_meta against ADR-006 schemas

06Enforcement of ADR-001 core/plugin boundary rules to prevent leakage

Use Cases

01Auditing third-party explanation plugins for registry trust and metadata validity

02Verifying that a custom classification calibrator correctly implements ADR-013 shapes

03Ensuring new ML modalities like image or text comply with ADR-033 taxonomy

Key Features

01Standardized audit report generation with detailed PASS/FAIL metrics

02Detection of eager heavy imports to ensure package performance

03Verification of Interval Calibrator protocols and Venn-Abers delegation

0475 GitHub stars

05Automated validation of plugin_meta against ADR-006 schemas

06Enforcement of ADR-001 core/plugin boundary rules to prevent leakage

Use Cases

01Auditing third-party explanation plugins for registry trust and metadata validity

02Verifying that a custom classification calibrator correctly implements ADR-013 shapes

03Ensuring new ML modalities like image or text comply with ADR-033 taxonomy