How to install detect-ai
npx skills add https://github.com/humanizerai/agent-skills --skill detect-aiFull instructions (SKILL.md)
Source of truth, from humanizerai/agent-skills.
name: detect-ai description: Analyze text to detect if it was written by AI. Returns a score from 0-100 with detailed metrics. Use when checking content before publishing or submitting. user-invocable: true argument-hint: [text to analyze] allowed-tools: WebFetch
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:
- Extract the text from $ARGUMENTS
- Call the HumanizerAI API to analyze the text
- 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:
- Check if HUMANIZERAI_API_KEY is set
- Suggest the user get an API key at https://humanizerai.com
- Provide the error message for debugging
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