Content Readability Optimizer

Name: Content Readability Optimizer
Author: agentskillexchange

ASecurity

Analyzes and optimizes content readability using textstat Python library and Hemingway API patterns. Computes Flesch-Kincaid, Gunning Fog, and SMOG indices with automated rewriting suggestions.

36 stars
0 votes
0 copies
2 views
Added June 8, 2026

ai-agentspythongogitapisecurity

Works with

Security analysis

A92/100

mediumInstalls packages at runtime which could introduce malicious dependencies

Pro shows the line behind each finding and how to fix it

Scanned June 8, 2026

npx -y skills add agentskillexchange/skills --skill content-readability-optimizer --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Content Readability Optimizer?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Content Readability Optimizer

[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/agentskillexchange-content-readability-optimizer/badge)](https://www.skillsdirectory.com/skills/agentskillexchange-content-readability-optimizer)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro

SKILL.md

---
name: "Content Readability Optimizer"
slug: "content-readability-optimizer"
description: "Analyzes and optimizes content readability using textstat Python library and Hemingway API patterns. Computes Flesch-Kincaid, Gunning Fog, and SMOG indices with automated rewriting suggestions."
github_stars: 1366
verification: "security_reviewed"
source: "https://github.com/textstat/textstat"
author: "textstat"
category: "Content Writing & SEO"
framework: "MCP"
tool_ecosystem:
  github_repo: "textstat/textstat"
  github_stars: 1366
---

# Content Readability Optimizer

Analyzes and optimizes content readability using textstat Python library and Hemingway API patterns. Computes Flesch-Kincaid, Gunning Fog, and SMOG indices with automated rewriting suggestions.

## Installation

Use the upstream install or setup path that matches your environment:
- pip install textstat
- git clone https://github.com/textstat/textstat.git
- pip install .
- $ git clone https://github.com/<yourname>/textstat.git # Clone the repo from your fork

Requirements and caveats from upstream:
- python
- You can install textstat either via the Python Package Index (PyPI) or from source.
- Download the latest version of textstat from http://pypi.python.org/pypi/textstat/

Basic usage or getting-started notes:
- >> import textstat
- >> test_data = (
- "Playing games has always been thought to be important to "

- Source: https://github.com/textstat/textstat
- Extracted from upstream docs: https://raw.githubusercontent.com/textstat/textstat/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/content-readability-optimizer/)