agentsclimarketplace

Word stats

Skill aiskillstore/marketplace/skills/humanizerai/word-stats

Get word count, character count, reading time, and text statistics. Quick analysis without questions.From its SKILL.md

Install
npx -y skills add aiskillstore/marketplace --skill word-stats

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.3 KB, 319 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 1 file

8.2 KB alongside SKILL.md

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.