Official agent skill

Text Analyzer

Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics.

OfficialApache-2.0Auto-check passedAgent Workflows

Install Text Analyzer

skills CLI

$ npx skills add NVIDIA/SkillEvaluator --skill text-analyzer -a claude-code

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

GitHub CLI

$ gh skill install NVIDIA/SkillEvaluator text-analyzer --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/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/text-analyzer .claude/skills/text-analyzer && 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 "text-analyzer" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer into .claude/skills/text-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analyzer", 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/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer

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 NVIDIA/SkillEvaluator --skill text-analyzer -a codex

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

GitHub CLI

$ gh skill install NVIDIA/SkillEvaluator text-analyzer --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/text-analyzer .agents/skills/text-analyzer && 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 "text-analyzer" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer into .agents/skills/text-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analyzer", 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 NVIDIA/SkillEvaluator --skill text-analyzer -a cursor

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

GitHub CLI

$ gh skill install NVIDIA/SkillEvaluator text-analyzer --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/text-analyzer .cursor/skills/text-analyzer && 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 "text-analyzer" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer into .cursor/skills/text-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analyzer", 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/NVIDIA/SkillEvaluator.git --path src/skillevaluator/tier3/reference_skills/text-analyzer

--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 NVIDIA/SkillEvaluator --skill text-analyzer -a gemini-cli

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

GitHub CLI

$ gh skill install NVIDIA/SkillEvaluator text-analyzer --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/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/text-analyzer .gemini/skills/text-analyzer && 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 "text-analyzer" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer into .gemini/skills/text-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analyzer", 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 NVIDIA/SkillEvaluator text-analyzer

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 NVIDIA/SkillEvaluator --skill text-analyzer -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/text-analyzer .github/skills/text-analyzer && 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 "text-analyzer" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer into .github/skills/text-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analyzer", 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 NVIDIA/SkillEvaluator --skill text-analyzer -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 NVIDIA/SkillEvaluator text-analyzer --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/SkillEvaluator.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/skillevaluator/tier3/reference_skills/text-analyzer .opencode/skills/text-analyzer && 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 "text-analyzer" agent skill from https://github.com/NVIDIA/SkillEvaluator/tree/main/src/skillevaluator/tier3/reference_skills/text-analyzer into .opencode/skills/text-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analyzer", 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: text-analyzer
GitHub stars: 544
Token cost: ~453 tokens
SKILL.md length: 140 words
Files: 4 (incl. scripts)
Skills in repo: 5
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics.

Works in 3 steps: Read this SKILL.md to understand… → Run scripts/analyze_text.py with the… → Return the analysis results to the user.
Tasks that involve Agent evaluation and testing
SKILL.md covers Purpose, Agent Instructions, Examples and Limitations, plus 1 more section
Runs Python scripts from its folder; calls python

What it does

Text Analyzer is an agent skill from NVIDIA/SkillEvaluator, published by the product's own GitHub organization. Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics. Works on any plain text input provided inline or from a file path.

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `evals/evals.json`, `evals/evals2.json` and `scripts/analyze_text.py`). Compatibility notes: Python 3.10+, no external dependencies

It sits in Agent Workflows, covering Agent evaluation and testing, Plain language and style rules and Statistics. The repository describes itself as: Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that… The licence is Apache-2.0.

When your agent uses it

Tasks that involve Agent evaluation and testing
Tasks that involve Plain language and style rules
Tasks that involve Statistics

Example prompts

“/text-analyzer”

Requirements

Python 3
Compatibility (from SKILL.md): Python 3.10+, no external dependencies

Workflow steps

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

Read this SKILL.md to understand capabilities.
Run scripts/analyze_text.py with the appropriate arguments.
Return the analysis results to the user.

What it can do on your machine

Read from SKILL.md and the folder at commit f32c884. 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.
Compatibility
Python 3.10+, no external dependencies
From compatibility in the SKILL.md frontmatter.

Context cost

Text Analyzer loads about 453 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 140 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~55
When it runs · the whole SKILL.md, loaded when a task matches: ~453

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 NVIDIA/SkillEvaluator at commit f32c884, republished under its Apache-2.0 licence (© NVIDIA). 140 words, ~453 tokens.

Download SKILL.mdSave it as .claude/skills/text-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: text-analyzer
description: Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics. Works on any plain text input provided inline or from a file path.
compatibility: Python 3.10+, no external dependencies
metadata.author: SkillEvaluator Maintainers <maintainers@example.com>

Text Analyzer

Analyze text and produce structured statistics.

Purpose

Provide quick text analytics — word counts, line counts, character counts, top frequent words, average word length, and sentence count — for any plain-text input.

Agent Instructions

Read this SKILL.md to understand capabilities.
Run scripts/analyze_text.py with the appropriate arguments.
Return the analysis results to the user.

Examples

Usage

bash

# Analyze inline text
python scripts/analyze_text.py --text "Your text content here"

# Analyze a file
python scripts/analyze_text.py --file /path/to/file.txt

# JSON output (default is human-readable)
python scripts/analyze_text.py --text "Hello world" --json

Output

The script prints a structured report with:

Word count — total words
Line count — total lines
Character count — total characters (including whitespace)
Sentence count — estimated sentence count
Average word length — mean characters per word
Top 5 words — most frequent words and their counts

Limitations

Sentence detection uses simple period/question/exclamation splitting; may be inaccurate for abbreviations (e.g., "U.S.A.").
Non-UTF-8 files will be read with errors replaced.

Troubleshooting

Problem	Fix
`FileNotFoundError`	Check the `--file` path exists
Empty output	Ensure `--text` or `--file` is provided

Files

SKILL.md and 3 other files (scripts) in src/skillevaluator/tier3/reference_skills/text-analyzer of NVIDIA/SkillEvaluator.

SKILL.md
evals/evals.json
evals/evals2.json
scripts/analyze_text.py

Open the folder on GitHubat commit f32c884

Compare with similar skills

Text Analyzer 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.

Text Analyzer compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Text Analyzer this skillNVIDIA/SkillEvaluator	544	—	~453	Automated safety check: Pass	Apache-2.0	today
Regression Modelerzebbern/claude-code-guide	4.6k	—	~909	Automated safety check: Pass	MIT	today
Review Experiment Resultsharness/harness-skills	115	—	~3.9k	Automated safety check: Pass	Apache-2.0	today
Librarianjdforsythe/forge	151	—	~5.1k	Automated safety check: Pass	MIT	3 mo ago
Insightsrohitg00/pro-workflow	2.9k	1 repos	~719	Automated safety check: Pass	None	8 days ago
Prediction Report WriterNVIDIA-AI-Blueprints/deep-researcher-agent	883	—	~2.5k	Automated safety check: Pass	Apache-2.0	yesterday

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Questions about Text Analyzer

What does Text Analyzer do?

Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics. Text Analyzer is an agent skill from NVIDIA/SkillEvaluator, published by the product's own GitHub organization. Analyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics.

When should I use Text Analyzer?

Text Analyzer fits situations like: tasks that involve Agent evaluation and testing; tasks that involve Plain language and style rules; tasks that involve Statistics.

How do I install Text Analyzer in Claude Code?

Run `npx skills add NVIDIA/SkillEvaluator --skill text-analyzer -a claude-code`. Or copy the skill folder (src/skillevaluator/tier3/reference_skills/text-analyzer in NVIDIA/SkillEvaluator) into .claude/skills/text-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Text Analyzer in Codex?

Run `npx skills add NVIDIA/SkillEvaluator --skill text-analyzer -a codex`. Or copy the skill folder (src/skillevaluator/tier3/reference_skills/text-analyzer in NVIDIA/SkillEvaluator) into .agents/skills/text-analyzer in your project. Codex loads it when a task matches its description.

Can I use Text Analyzer 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 NVIDIA/SkillEvaluator --skill text-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/text-analyzer, .gemini/skills/text-analyzer, .github/skills/text-analyzer and .opencode/skills/text-analyzer in your project.

What does Text Analyzer need to run?

Going by SKILL.md and its folder, Text Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3. Compatibility (from SKILL.md): Python 3.10+, no external dependencies.

Does Text Analyzer 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 Text Analyzer 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 Text Analyzer use?

Text Analyzer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Text Analyzer use?

About 453 tokens (SKILL.md is roughly 1.8k 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 Text Analyzer?

Skills that share tags, products or a category with Text Analyzer: Regression Modeler (zebbern/claude-code-guide, 4.6k stars), Review Experiment Results (harness/harness-skills, 115 stars), Librarian (jdforsythe/forge, 151 stars) and Insights (rohitg00/pro-workflow, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Text Analyzer?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/SkillEvaluator, which has 544 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 7, 2026.

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

Install Text Analyzer

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Text Analyzer

Purpose

Agent Instructions

Examples

Usage

Output

Limitations

Troubleshooting

Files

Compare with similar skills

Similar skills

More from NVIDIA/SkillEvaluator

Related

Questions about Text Analyzer