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SKILL verified MIT Self-run

Detect Ai

skill-humanizerai-agent-skills-detect-ai · by humanizerai

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.

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Install

$ agentstack add skill-humanizerai-agent-skills-detect-ai

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-humanizerai-agent-skills-detect-ai)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

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": ""
}

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 HUMANIZERAIAPIKEY is set
  2. Suggest the user get an API key at https://humanizerai.com
  3. Provide the error message for debugging

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.