
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-aiAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 776 |
|---|---|
| repo stars | ★ 38 |
| Last updated | February 5, 2026 |
| Repository | humanizerai/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
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.