Analyze text to determine if it was written by AI using the HumanizerAI API.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondetect-aiExecute the skills CLI command in your project's root directory to begin installation:
Fetches detect-ai from humanizerai/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate detect-ai. Access via /detect-ai in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
4
total installs
4
this week
12
GitHub stars
0
upvotes
Run in your terminal
4
installs
4
this week
12
stars
Analyze text to determine if it was written by AI using the HumanizerAI API.
When the user invokes /detect-ai, you should:
Make a POST request to https://humanizerai.com/api/v1/detect:
Authorization: Bearer $HUMANIZERAI_API_KEY
Content-Type: application/json
{
"text": "<user's text>"
}
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.
## 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]
If the API call fails:
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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detect-ai has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: detect-ai is focused, and the summary matches what you get after install.
detect-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
detect-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
detect-ai is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added detect-ai from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
detect-ai fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: detect-ai is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for detect-ai matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: detect-ai is focused, and the summary matches what you get after install.
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