
Word Stats
This does exactly what it says: paste in text, get word count, character count, reading time, and other stats in a clean table format. No questions, no analysis, just numbers. Useful when you're checking if your blog post hits a word limit, estimating how long a script will take to read, or seeing basic text metrics without opening another tool. It calculates reading time at 238 words per minute and speaking time at 150, tracks unique words as a percentage, and shows sentence length stats. The kind of thing you'd bookmark for those moments when you need quick counts without the ceremony.
- skills.sh installs
- 512
- GitHub stars
- 55
- last updated
- Aug 21, 2026
Install
$ npx -y skills add humanizerai/agent-skills --skill word-stats --agent claude-codeInstalls into .claude/skills of the current project.
Files
Word Statistics
Provide quick, accurate statistics about the provided text.
Input
The user provides text in $ARGUMENTS.
Important: If text is provided, immediately output stats. Don't ask clarifying questions - they want the numbers.
Output Format
## Word Statistics
### Counts
| Metric | Value |
|--------|-------|
| Words | [X] |
| Characters (with spaces) | [X] |
| Characters (no spaces) | [X] |
| Sentences | [X] |
| Paragraphs | [X] |
### Time
| Metric | Value |
|--------|-------|
| Reading time | [X] min |
| Speaking time | [X] min |
### Words
| Metric | Value |
|--------|-------|
| Unique words | [X] ([Y]%) |
| Avg word length | [X] chars |
| Longest word | [word] ([X] chars) |
### Sentences
| Metric | Value |
|--------|-------|
| Avg length | [X] words |
| Longest | [X] words |
| Shortest | [X] words |
Calculations
- Reading time: words ÷ 238 (average adult reading speed)
- Speaking time: words ÷ 150 (average speaking pace)
- Unique words: distinct words ÷ total words × 100
Keep It Simple
- Tables for metrics
- No unnecessary prose
- No recommendations unless asked
- Just the numbers
Sponsors
Details
- Repository
- github.com/humanizerai/agent-skills
- Categories
- AI & Agent Building, Data Science & ML, Office & Documents
- First seen
- Jun 3, 2026