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text-statistics

Compute readability and structural statistics for a block of text: word count, sentence count, character count, average word length, and an approximate Flesch…

Skill by sarveshtalele

IndexedMIT★ 3
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sarveshtalele-text-statistics

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Compute readability and structural statistics for a block of text: word count, sentence count, character count, average word length, and an approximate Flesch reading-ease score. Trigger when the user asks to analyze text, count words, measure readability, or get text statistics.

Use cases: documents

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/text-statistics

What's inside

Skill name
text-statistics
Description
Compute readability and structural statistics for a block of text: word count, sentence count, character count, average word length, and an approximate Flesch reading-ease score. Trigger when the user asks to analyze text, count words, measure readability, or get text statistics.
License
MIT
Instructions
17 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (6)

  • README.md
  • SKILL.md
  • requirements.txt · assets/
  • flesch.md · references/
  • __init__.py · scripts/
  • main.py · scripts/

SKILL.md (first lines)

# Text Statistics Skill

Analyze a block of text and report structural and readability metrics.

## How it works

1. Tokenize the input into sentences and words.
2. Count words, sentences, and characters.
3. Estimate syllables per word to compute an approximate Flesch reading-ease score.
4. Return all metrics as a structured object.

## Usage

Call the skill with a single `text` input. The skill returns the metrics
described in the `outputs` section of the frontmatter.

From sarveshtalele/mcp-skills-registry, MIT.

More from sarveshtalele/mcp-skills-registry

Signals

Stars
3
Forks
2
Open issues
0
Last commit (this folder)
Jun 10, 2026 (4 months ago)
Last release
Jun 12, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from sarveshtalele

Cite this page

text-statistics skill. Agent Mart. https://agentmart.dev/skills/sarveshtalele-text-statistics (last updated 2026-10-24)