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Detect Ai

  • 776 installs
  • 38 repo stars
  • Updated February 5, 2026
  • humanizerai/agent-skills

detect-ai is a Claude Code skill that calls the HumanizerAI API to score text from 0-100 with detailed AI-detection metrics for developers who must vet content before publishing or submitting.

About

detect-ai is a user-invocable HumanizerAI agent skill that analyzes text via POST https://humanizerai.com/api/v1/detect with a Bearer HUMANIZERAI_API_KEY. It returns a 0-100 AI-likelihood score plus detailed metrics in an actionable report when users run /detect-ai with text arguments. The skill allows WebFetch for API calls and fits pre-publish checks for blogs, docs, or submissions that must meet human-writing policies. Developers reach for detect-ai when they need a quick automated screen rather than manual guesswork about AI-generated tone or structure.

  • Returns overall AI score 0-100
  • Provides perplexity, burstiness, readability metrics
  • Supports pre-publish checks

Detect Ai by the numbers

  • 776 all-time installs (skills.sh)
  • +27 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #1,341 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/humanizerai/agent-skills --skill detect-ai

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Listed on Skillselion
Installs776
repo stars38
Last updatedFebruary 5, 2026
Repositoryhumanizerai/agent-skills

How do you detect AI-generated text before publishing?

Analyze text to detect AI-generated content and receive a score with metrics before publishing.

Who is it for?

Developers or editors running pre-publish checks on articles, README drafts, or submissions that require AI-detection scoring.

Skip if: Teams without a HumanizerAI API key, legal plagiarism analysis, or rewriting text to sound human—that needs a separate humanizer workflow.

When should I use this skill?

User runs /detect-ai or asks to check if text was AI-written before publishing or submitting.

What you get

AI detection score from 0-100, detailed metric breakdown, and a formatted review summary for the submitted text.

  • AI likelihood score
  • detection metric report

By the numbers

  • Returns AI detection score on a 0-100 scale

Files

SKILL.mdMarkdownGitHub ↗

Detect AI Content

Analyze text to determine if it was written by AI using the HumanizerAI API.

How It Works

When the user invokes /detect-ai, you should:

1. Extract the text from $ARGUMENTS 2. Call the HumanizerAI API to analyze the text 3. Present the results in a clear, actionable format

API Call

Make a POST request to https://humanizerai.com/api/v1/detect:

Authorization: Bearer $HUMANIZERAI_API_KEY
Content-Type: application/json

{
  "text": "<user's text>"
}

API Response Format

The API returns JSON like this:

{
  "score": {
    "overall": 82,
    "perplexity": 96,
    "burstiness": 15,
    "readability": 23,
    "satPercent": 3,
    "simplicity": 35,
    "ngramScore": 8,
    "averageSentenceLength": 21
  },
  "wordCount": 82,
  "sentenceCount": 4,
  "verdict": "ai"
}

IMPORTANT: The main AI score is score.overall (not score directly). This is the score to display to the user.

Present Results Like This

## AI Detection Results

**Score:** [score.overall]/100 ([verdict])
**Words Analyzed:** [wordCount]

### Metrics
- Perplexity: [score.perplexity]
- Burstiness: [score.burstiness]
- Readability: [score.readability]
- N-gram Score: [score.ngramScore]

### Recommendation
[Based on score.overall, suggest whether to humanize]

Score Interpretation (use score.overall)

  • 0-20: Human-written content
  • 21-40: Likely human, minor AI patterns
  • 41-60: Mixed signals, could be either
  • 61-80: Likely AI-generated
  • 81-100: Highly likely AI-generated

Error Handling

If the API call fails: 1. Check if HUMANIZERAI_API_KEY is set 2. Suggest the user get an API key at https://humanizerai.com 3. Provide the error message for debugging

Related skills

FAQ

What API does detect-ai call?

detect-ai sends a POST request to https://humanizerai.com/api/v1/detect with Authorization Bearer HUMANIZERAI_API_KEY and returns a 0-100 score plus detailed AI-detection metrics.

How do you invoke detect-ai in Claude Code?

Run the user-invocable /detect-ai command with the text to analyze in arguments; the skill extracts input, calls HumanizerAI, and formats the score and metrics for review.

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