Agent skill

Sample Text Processor

Sample skill for testing the skill-tester validation pipeline.

MITAuto-check passed

Install Sample Text Processor

skills CLI

$ npx skills add borghei/Claude-Skills --skill sample-text-processor -a claude-code

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

GitHub CLI

$ gh skill install borghei/Claude-Skills sample-text-processor --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/skill-tester/assets/sample-skill .claude/skills/sample-text-processor && 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 "sample-text-processor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill into .claude/skills/sample-text-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-text-processor", 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/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill

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 borghei/Claude-Skills --skill sample-text-processor -a codex

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

GitHub CLI

$ gh skill install borghei/Claude-Skills sample-text-processor --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/skill-tester/assets/sample-skill .agents/skills/sample-text-processor && 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 "sample-text-processor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill into .agents/skills/sample-text-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-text-processor", 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 borghei/Claude-Skills --skill sample-text-processor -a cursor

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

GitHub CLI

$ gh skill install borghei/Claude-Skills sample-text-processor --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/skill-tester/assets/sample-skill .cursor/skills/sample-text-processor && 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 "sample-text-processor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill into .cursor/skills/sample-text-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-text-processor", 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/borghei/Claude-Skills.git --path engineering/skill-tester/assets/sample-skill

--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 borghei/Claude-Skills --skill sample-text-processor -a gemini-cli

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

GitHub CLI

$ gh skill install borghei/Claude-Skills sample-text-processor --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/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/skill-tester/assets/sample-skill .gemini/skills/sample-text-processor && 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 "sample-text-processor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill into .gemini/skills/sample-text-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-text-processor", 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 borghei/Claude-Skills sample-text-processor

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 borghei/Claude-Skills --skill sample-text-processor -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/skill-tester/assets/sample-skill .github/skills/sample-text-processor && 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 "sample-text-processor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill into .github/skills/sample-text-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-text-processor", 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 borghei/Claude-Skills --skill sample-text-processor -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 borghei/Claude-Skills sample-text-processor --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/skill-tester/assets/sample-skill .opencode/skills/sample-text-processor && 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 "sample-text-processor" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/skill-tester/assets/sample-skill into .opencode/skills/sample-text-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-text-processor", 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: sample-text-processor
GitHub stars: 874
Token cost: ~1.4k tokens
SKILL.md length: 531 words
Files: 7 (incl. scripts, references, assets)
Skills in repo: 364
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Sample skill for testing the skill-tester validation pipeline.

Works in 3 steps: Clone or download the skill directory → Navigate to the scripts directory → Run the text processor directly with…
SKILL.md covers Description, Features, Usage and Examples, plus 7 more sections
Runs Python scripts from its folder; calls python

What it does

Sample Text Processor is an agent skill from borghei/Claude-Skills. Sample skill for testing the skill-tester validation pipeline. Demonstrates proper skill structure with scripts, references, and assets.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `README.md`, `expected_outputs/sample_text_analysis.json` and `references/api-reference.md`).

It works with Python. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

Example prompts

“/sample-text-processor”

Requirements

Python 3

Workflow steps

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

Clone or download the skill directory
Navigate to the scripts directory
Run the text processor directly with Python

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
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

Sample Text Processor loads about 1.4k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 531 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~40
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.1k

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 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); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 531 words, ~1,424 tokens.

Download SKILL.mdSave it as .claude/skills/sample-text-processor/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: sample-text-processor
description: Sample skill for testing the skill-tester validation pipeline. Demonstrates proper skill structure with scripts, references, and assets.
license: MIT + Commons Clause
metadata.version: 1.0.0
metadata.category: testing
metadata.tier: BASIC

Sample Text Processor

Name: sample-text-processor Tier: BASIC Category: Text Processing Dependencies: None (Python Standard Library Only) Author: Claude Skills Engineering Team Version: 1.0.0 Last Updated: 2026-02-16

Description

The Sample Text Processor is a simple skill designed to demonstrate the basic structure and functionality expected in the claude-skills ecosystem. This skill provides fundamental text processing capabilities including word counting, character analysis, and basic text transformations.

This skill serves as a reference implementation for BASIC tier requirements and can be used as a template for creating new skills. It demonstrates proper file structure, documentation standards, and implementation patterns that align with ecosystem best practices.

The skill processes text files and provides statistics and transformations in both human-readable and JSON formats, showcasing the dual output requirement for skills in the claude-skills repository.

Features

Core Functionality

Word Count Analysis: Count total words, unique words, and word frequency
Character Statistics: Analyze character count, line count, and special characters
Text Transformations: Convert text to uppercase, lowercase, or title case
File Processing: Process single text files or batch process directories
Dual Output Formats: Generate results in both JSON and human-readable formats

Technical Features

Command-line interface with comprehensive argument parsing
Error handling for common file and processing issues
Progress reporting for batch operations
Configurable output formatting and verbosity levels
Cross-platform compatibility with standard library only dependencies

Usage

Basic Text Analysis

bash

python text_processor.py analyze document.txt
python text_processor.py analyze document.txt --output results.json

Text Transformation

bash

python text_processor.py transform document.txt --mode uppercase
python text_processor.py transform document.txt --mode title --output transformed.txt

Batch Processing

bash

python text_processor.py batch text_files/ --output results/
python text_processor.py batch text_files/ --format json --output batch_results.json

Examples

Example 1: Basic Word Count

bash

$ python text_processor.py analyze sample.txt
=== TEXT ANALYSIS RESULTS ===
File: sample.txt
Total words: 150
Unique words: 85
Total characters: 750
Lines: 12
Most frequent word: "the" (8 occurrences)

Example 2: JSON Output

bash

$ python text_processor.py analyze sample.txt --format json
{
  "file": "sample.txt",
  "statistics": {
    "total_words": 150,
    "unique_words": 85,
    "total_characters": 750,
    "lines": 12,
    "most_frequent": {
      "word": "the",
      "count": 8
    }
  }
}

Example 3: Text Transformation

bash

$ python text_processor.py transform sample.txt --mode title
Original: "hello world from the text processor"
Transformed: "Hello World From The Text Processor"

Installation

This skill requires only Python 3.7 or later with the standard library. No external dependencies are required.

Clone or download the skill directory
Navigate to the scripts directory
Run the text processor directly with Python

bash

cd scripts/
python text_processor.py --help

Configuration

The text processor supports various configuration options through command-line arguments:

--format: Output format (json, text)
--verbose: Enable verbose output and progress reporting
--output: Specify output file or directory
--encoding: Specify text file encoding (default: utf-8)

Show full SKILL.md (216 more words)Show less

Architecture

The skill follows a simple modular architecture:

TextProcessor Class: Core processing logic and statistics calculation
OutputFormatter Class: Handles dual output format generation
FileManager Class: Manages file I/O operations and batch processing
CLI Interface: Command-line argument parsing and user interaction

Error Handling

The skill includes comprehensive error handling for:

File not found or permission errors
Invalid encoding or corrupted text files
Memory limitations for very large files
Output directory creation and write permissions
Invalid command-line arguments and parameters

Performance Considerations

Efficient memory usage for large text files through streaming
Optimized word counting using dictionary lookups
Batch processing with progress reporting for large datasets
Configurable encoding detection for international text

Contributing

This skill serves as a reference implementation and contributions are welcome to demonstrate best practices:

Follow PEP 8 coding standards
Include comprehensive docstrings
Add test cases with sample data
Update documentation for any new features
Ensure backward compatibility

Limitations

As a BASIC tier skill, some advanced features are intentionally omitted:

Complex text analysis (sentiment, language detection)
Advanced file format support (PDF, Word documents)
Database integration or external API calls
Parallel processing for very large datasets

This skill demonstrates the essential structure and quality standards required for BASIC tier skills in the claude-skills ecosystem while remaining simple and focused on core functionality.

Files

SKILL.md and 6 other files (scripts, references, assets) in engineering/skill-tester/assets/sample-skill of borghei/Claude-Skills.

SKILL.md
README.md
assets/sample_text.txt
assets/test_data.csv
expected_outputs/sample_text_analysis.json
references/api-reference.md
scripts/text_processor.py

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Sample Text Processor 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.

Sample Text Processor compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sample Text Processor this skillborghei/Claude-Skills	874	—	~1.4k	Automated safety check: Pass	MIT	yesterday
MCP Server Builderanthropics/skills	180k	62 repos	~2.3k	Automated safety check: Pass	Apache-2.0	2 days ago
PDF Processinganthropics/skills	180k	48 repos	~2k	Automated safety check: Pass	Proprietary	2 days ago
NotebookLM Research AssistantPleasePrompto/notebooklm-skill	7.8k	13 repos	~2.4k	Automated safety check: Notes	MIT	27 days ago
Manim Video Productionbrowser-use/video-use	28k	6 repos	~3k	Automated safety check: Pass	MIT	5 days ago
Code Review ChecklistshareAI-lab/learn-claude-code	78k	5 repos	~1.1k	Automated safety check: Pass	MIT	9 days ago

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Questions about Sample Text Processor

What does Sample Text Processor do?

Sample skill for testing the skill-tester validation pipeline. Sample Text Processor is an agent skill from borghei/Claude-Skills. Sample skill for testing the skill-tester validation pipeline.

How do I install Sample Text Processor in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill sample-text-processor -a claude-code`. Or copy the skill folder (engineering/skill-tester/assets/sample-skill in borghei/Claude-Skills) into .claude/skills/sample-text-processor in your project. Claude Code loads it when a task matches its description.

How do I install Sample Text Processor in Codex?

Run `npx skills add borghei/Claude-Skills --skill sample-text-processor -a codex`. Or copy the skill folder (engineering/skill-tester/assets/sample-skill in borghei/Claude-Skills) into .agents/skills/sample-text-processor in your project. Codex loads it when a task matches its description.

Can I use Sample Text Processor 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 borghei/Claude-Skills --skill sample-text-processor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sample-text-processor, .gemini/skills/sample-text-processor, .github/skills/sample-text-processor and .opencode/skills/sample-text-processor in your project.

What does Sample Text Processor need to run?

Going by SKILL.md and its folder, Sample Text Processor needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Sample Text Processor 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 Sample Text Processor 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Sample Text Processor use?

Sample Text Processor 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 Sample Text Processor use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 630 tokens, read only when the agent opens those files.

What are the alternatives to Sample Text Processor?

Skills that share tags, products or a category with Sample Text Processor: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sample Text Processor?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Sample Text Processor

Facts

At a glance

What it does

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Sample Text Processor

Description

Features

Core Functionality

Technical Features

Usage

Basic Text Analysis

Text Transformation

Batch Processing

Examples

Example 1: Basic Word Count

Example 2: JSON Output

Example 3: Text Transformation

Installation

Configuration

Architecture

Error Handling

Performance Considerations

Contributing

Limitations

Files

Compare with similar skills

Similar skills

More from borghei/Claude-Skills

Related

Questions about Sample Text Processor