Agent skill

Lime Explainer

by majiayu000 in majiayu000/claude-skill-registry

LIME-based local explanation skill for individual predictions across tabular, text, and image data.

MITAuto-check: notes

Install Lime Explainer

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a claude-code

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

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry lime-explainer --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ml/lime-explainer .claude/skills/lime-explainer && 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/

Paste into Claude Code

Install the "lime-explainer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer into .claude/skills/lime-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lime-explainer", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry lime-explainer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-ml/lime-explainer .agents/skills/lime-explainer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lime-explainer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer into .agents/skills/lime-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lime-explainer", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry lime-explainer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-ml/lime-explainer .cursor/skills/lime-explainer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lime-explainer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer into .cursor/skills/lime-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lime-explainer", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-ml/lime-explainer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry lime-explainer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-ml/lime-explainer .gemini/skills/lime-explainer && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "lime-explainer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer into .gemini/skills/lime-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lime-explainer", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry lime-explainer

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-ml/lime-explainer .github/skills/lime-explainer && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "lime-explainer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer into .github/skills/lime-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lime-explainer", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry lime-explainer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-ml/lime-explainer .opencode/skills/lime-explainer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lime-explainer" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/lime-explainer into .opencode/skills/lime-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lime-explainer", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: lime-explainer
GitHub stars: 666
Used in: 1 other repo
Token cost: ~1k tokens
SKILL.md length: 74 words
Files: 2
Skills in repo: 1,273
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

LIME-based local explanation skill for individual predictions across tabular, text, and image data.

SKILL.md covers Overview, Capabilities, Target Processes and Tools and Libraries, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lime Explainer is an agent skill from majiayu000/claude-skill-registry. LIME-based local explanation skill for individual predictions across tabular, text, and image data.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

Example prompts

“/lime-explainer”

Requirements

Pre-approved tools (allowed-tools): Read, Write, Bash, Glob, Grep

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. 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
- Bash
- Glob
- Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json and javascript).
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.

Context cost

Lime Explainer loads about 1k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 74 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~29
When it runs · the whole SKILL.md, loaded when a task matches: ~1k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Read, Write, Bash, Glob, Grep
```

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 majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 74 words, ~1,025 tokens.

Download SKILL.mdSave it as .claude/skills/lime-explainer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: lime-explainer
description: LIME-based local explanation skill for individual predictions across tabular, text, and image data.
allowed-tools: Read, Write, Bash, Glob, Grep

lime-explainer

Overview

LIME-based local explanation skill for individual predictions across tabular, text, and image data using Local Interpretable Model-agnostic Explanations.

Capabilities

Tabular data explanations
Text classification explanations
Image classification explanations
Submodular pick for representative samples
Custom distance metrics
Kernel width tuning
Feature discretization
Local surrogate model analysis

Target Processes

Model Interpretability and Explainability Analysis
Model Evaluation and Validation Framework

Tools and Libraries

LIME
scikit-learn
numpy
PIL/Pillow (for images)

Input Schema

json

{
  "type": "object",
  "required": ["modelPath", "dataType", "instancePath"],
  "properties": {
    "modelPath": {
      "type": "string",
      "description": "Path to the trained model or prediction function"
    },
    "dataType": {
      "type": "string",
      "enum": ["tabular", "text", "image"],
      "description": "Type of data to explain"
    },
    "instancePath": {
      "type": "string",
      "description": "Path to instance(s) to explain"
    },
    "tabularConfig": {
      "type": "object",
      "properties": {
        "trainingDataPath": { "type": "string" },
        "featureNames": { "type": "array", "items": { "type": "string" } },
        "categoricalFeatures": { "type": "array", "items": { "type": "integer" } },
        "classNames": { "type": "array", "items": { "type": "string" } }
      }
    },
    "textConfig": {
      "type": "object",
      "properties": {
        "classNames": { "type": "array", "items": { "type": "string" } },
        "splitExpression": { "type": "string" }
      }
    },
    "imageConfig": {
      "type": "object",
      "properties": {
        "segmenter": { "type": "string", "enum": ["quickshift", "slic", "felzenszwalb"] },
        "hideColor": { "type": "string" },
        "numSamples": { "type": "integer" }
      }
    },
    "explainerConfig": {
      "type": "object",
      "properties": {
        "numFeatures": { "type": "integer" },
        "numSamples": { "type": "integer" },
        "kernelWidth": { "type": "number" }
      }
    }
  }
}

Output Schema

json

{
  "type": "object",
  "required": ["status", "explanations"],
  "properties": {
    "status": {
      "type": "string",
      "enum": ["success", "error"]
    },
    "explanations": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "instanceId": { "type": "string" },
          "predictedClass": { "type": "string" },
          "predictionProbability": { "type": "number" },
          "features": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "feature": { "type": "string" },
                "weight": { "type": "number" },
                "contribution": { "type": "string" }
              }
            }
          },
          "localAccuracy": { "type": "number" }
        }
      }
    },
    "visualizations": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "instanceId": { "type": "string" },
          "plotPath": { "type": "string" }
        }
      }
    }
  }
}

Usage Example

javascript

{
  kind: 'skill',
  title: 'Generate LIME explanations for predictions',
  skill: {
    name: 'lime-explainer',
    context: {
      modelPath: 'models/classifier.pkl',
      dataType: 'tabular',
      instancePath: 'data/instances_to_explain.csv',
      tabularConfig: {
        trainingDataPath: 'data/train.csv',
        featureNames: ['age', 'income', 'credit_score'],
        categoricalFeatures: [0, 2],
        classNames: ['reject', 'approve']
      },
      explainerConfig: {
        numFeatures: 10,
        numSamples: 5000
      }
    }
  }
}

Files

SKILL.md and 1 other file in skills/ai-ml/lime-explainer of majiayu000/claude-skill-registry.

SKILL.md
metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

a5c-ai/babysitterlibrary/specializations/data-science-ml/skills/lime-explainer

Compare with similar skills

Lime Explainer 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.

Lime Explainer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Lime Explainer this skillmajiayu000/claude-skill-registry	666	1 repos	~1k	Automated safety check: Notes	MIT	today
Bio Machine Learning Prediction ExplanationGPTomics/bioSkills	1.2k	1 repos	~4.3k	Automated safety check: Pass	MIT	1 mo ago
Individual Spacing Algorithm ExplainerGarethManning/education-agent-skills	835	—	~6.1k	Automated safety check: Pass	Custom licence	1 mo ago
Understand ExplainEgonex-AI/Understand-Anything	86k	1 repos	~1.3k	Automated safety check: Pass	MIT	2 days ago
Autopilot Predictruvnet/ruflo	74k	—	~337	Automated safety check: Pass	MIT	today
Explain Usageasgeirtj/system_prompts_leaks	69k	—	~345	Automated safety check: Pass	CC0-1.0	today

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Explain Usage
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Trader Explain
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Questions about Lime Explainer

What does Lime Explainer do?

LIME-based local explanation skill for individual predictions across tabular, text, and image data. Lime Explainer is an agent skill from majiayu000/claude-skill-registry. LIME-based local explanation skill for individual predictions across tabular, text, and image data.

How do I install Lime Explainer in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a claude-code`. Or copy the skill folder (skills/ai-ml/lime-explainer in majiayu000/claude-skill-registry) into .claude/skills/lime-explainer in your project. Claude Code loads it when a task matches its description.

How do I install Lime Explainer in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill lime-explainer -a codex`. Or copy the skill folder (skills/ai-ml/lime-explainer in majiayu000/claude-skill-registry) into .agents/skills/lime-explainer in your project. Codex loads it when a task matches its description.

Can I use Lime Explainer 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 majiayu000/claude-skill-registry --skill lime-explainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lime-explainer, .gemini/skills/lime-explainer, .github/skills/lime-explainer and .opencode/skills/lime-explainer in your project.

What does Lime Explainer need to run?

SKILL.md names no scripts, command-line tools or credentials: Lime Explainer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash, Glob, Grep.

Does Lime Explainer 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 Lime Explainer safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Lime Explainer use?

Lime Explainer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lime Explainer use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Lime Explainer?

Skills that share tags, products or a category with Lime Explainer: Bio Machine Learning Prediction Explanation (GPTomics/bioSkills, 1.2k stars), Individual Spacing Algorithm Explainer (GarethManning/education-agent-skills, 835 stars), Understand Explain (Egonex-AI/Understand-Anything, 86k stars) and Autopilot Predict (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lime Explainer?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Lime Explainer

Facts

At a glance

What it does

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

lime-explainer

Overview

Capabilities

Target Processes

Tools and Libraries

Input Schema

Output Schema

Usage Example

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from majiayu000/claude-skill-registry

Questions about Lime Explainer