Agent skill

Model Explainability Tool

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Build model explainability tool operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedData & Analytics

Install Model Explainability Tool

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-explainability-tool -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace model-explainability-tool --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/07-ml-training/model-explainability-tool .claude/skills/model-explainability-tool && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
model-explainability-tool
GitHub stars
2.8k
Token cost
~580 tokens
SKILL.md length
197 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Build model explainability tool operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Provides step-by-step guidance for model… → Follows industry best practices and… → Generates production-ready code and… → …
  • : model explainability tool
  • SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Model Explainability Tool is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build model explainability tool operations. Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category. Use when working with model explainability tool functionality. Trigger with phrases like "model explainability tool", "model tool", "model".

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Data & Analytics, covering Machine learning. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • : model explainability tool
  • Model explainability tool Part of the ML Training skill category
  • Working with model explainability tool functionality
  • With phrases like model explainability tool

Example prompts

  • “model explainability tool”
  • “model tool”
  • “/model-explainability-tool”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(python:*), Bash(pip:*)

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Provides step-by-step guidance for model explainability tool
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(python:*)
    • Bash(pip:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Model Explainability Tool loads about 580 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~580

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 197 words, ~580 tokens.

Download SKILL.mdSave it as .claude/skills/model-explainability-tool/SKILL.md (or your agent's skills folder).
name
model-explainability-tool
description
Build model explainability tool operations. Auto-activating skill for ML Training. Triggers on: model explainability tool, model explainability tool Part of the ML Training skill category. Use when working with model explainability tool functionality. Trigger with phrases like "model explainability tool", "model tool", "model".
allowed-tools
Read, Write, Edit, Bash(python:*), Bash(pip:*)
compatibility
Designed for Claude Code
version
1.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
ai, machine-learning

Model Explainability Tool

Overview

This skill provides automated assistance for model explainability tool tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "model explainability tool" in your request
  • Ask about model explainability tool patterns or best practices
  • Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

Instructions

  1. Provides step-by-step guidance for model explainability tool
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with model explainability tool" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

  • Relevant development environment configured
  • Access to necessary tools and services
  • Basic understanding of ml training concepts

Output

  • Generated configurations and code
  • Best practice recommendations
  • Validation results

Error Handling

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/07-ml-training/model-explainability-tool of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit 80f86df

Compare with similar skills

Model Explainability Tool next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Explainability Tool compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Model Explainability Tool this skilljeremylongshore/tons-of-skills-marketplace2.8k—~580Automated safety check: PassMIT
Scikit LearnzLanqing/codex-claude-academic-skills4.7k16 repos~3.9kAutomated safety check: PassBSD-3-Clause
Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill188—~4kAutomated safety check: PassMIT
Senior Data ScientistRaidriar7170/hermes-skilleval1255 repos~1.4kAutomated safety check: PassMIT
Geomlitalo-goncalves/geoML109—~4.6kAutomated safety check: PassGPL-3.0
QuantMind Training Config Generatorqusong0627/QuantMind1.7k—~1.5kAutomated safety check: PassAGPL-3.0

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Questions about Model Explainability Tool

What does Model Explainability Tool do?

Build model explainability tool operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Model Explainability Tool is an agent skill from jeremylongshore/tons-of-skills-marketplace. Build model explainability tool operations.

When should I use Model Explainability Tool?

Model Explainability Tool fits situations like: : model explainability tool; model explainability tool Part of the ML Training skill category; working with model explainability tool functionality; with phrases like model explainability tool.

How do I install Model Explainability Tool in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-explainability-tool -a claude-code`. Or copy the skill folder (skills/07-ml-training/model-explainability-tool in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/model-explainability-tool in your project. Claude Code loads it when a task matches its description.

How do I install Model Explainability Tool in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-explainability-tool -a codex`. Or copy the skill folder (skills/07-ml-training/model-explainability-tool in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/model-explainability-tool in your project. Codex loads it when a task matches its description.

Can I use Model Explainability Tool in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-explainability-tool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-explainability-tool, .gemini/skills/model-explainability-tool, .github/skills/model-explainability-tool and .opencode/skills/model-explainability-tool in your project.

What does Model Explainability Tool need to run?

SKILL.md names no scripts, command-line tools or credentials: Model Explainability Tool is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(python:*), Bash(pip:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Model Explainability Tool access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Model Explainability Tool safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Model Explainability Tool use?

Model Explainability Tool is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Model Explainability Tool use?

About 580 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Model Explainability Tool?

Skills that share tags, products or a category with Model Explainability Tool: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Geoml (italo-goncalves/geoML, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Explainability Tool?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.