model-explainer
This skill provides model interpretability using SHAP, LIME, and feature importance to explain why models make specific predictions. It helps build trust, debug models, and meet regulatory requirements by generating human-readable explanations for both individual predictions and overall model behavior.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install anton-abyzov-specweave-model-explainer
Repository
Skill path: plugins/specweave-ml/skills/model-explainer
This skill provides model interpretability using SHAP, LIME, and feature importance to explain why models make specific predictions. It helps build trust, debug models, and meet regulatory requirements by generating human-readable explanations for both individual predictions and overall model behavior.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack, Testing.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: anton-abyzov.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install model-explainer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/anton-abyzov/specweave before adding model-explainer to shared team environments
- Use model-explainer for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.