Gibberish Detection Skill

Overview

Useful for spam filtering, content moderation, form validation, and detecting bot-generated or corrupted text submissions.

Live Test Gibberish Detection Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as GibberishDetectionSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

Tool call

{
  "name": "GibberishDetectionSkill",
  "arguments": {
    "text": "asdfghjkl qwerty"
  }
}

You do not name the tool yourself; the model picks it. Asking about asdfghjkl qwerty in the terms this skill covers is enough for it to reach for GibberishDetectionSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

Argument	Type	Description
`text`Required	string	Text to analyze (max 10,000 characters)

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

Result

{
  "status": "ok",
  "error": null,
  "data": {
    "isGibberish": false,
    "score": 0.12,
    "confidence": 88,
    "confidenceLevel": "high",
    "text": "The quick brown fox jumps over the lazy dog",
    "textLength": 43,
    "wordCount": 9
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Field	Type	Example	Description
`isGibberish`	boolean	`false`	Whether the text is detected as gibberish
`score`	number	`0.12`	Gibberish score from 0 to 1 (higher = more gibberish)
`confidence`	number	`88`	Detection confidence percentage (0-100)
`confidenceLevel`	string	`high`	Confidence level: high, medium, or low
`text`	string	`The quick brown fox jumps over the lazy dog`	The original text that was analyzed
`textLength`	number	`43`	Character count of the input text
`wordCount`	number	`9`	Number of words in the text

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

Status	What it means
`400` / `422`	The arguments did not validate. The message names the offending one.
`401`	The OAuth session is invalid or expired — reconnect the server.
`403`	Blocked by a key restriction or an IP allow-list. Never a bad identity.
`404`	This skill is not part of VerveKit. Check the catalog.
`429`	Out of credits, or a brief rate limit. The message tells them apart.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Spam Detection: Filter spam and bot-generated content from user submissions
Form Validation: Validate text input fields to reject nonsensical entries
Content Moderation: Detect and flag gibberish content in user-generated platforms
Quality Control: Ensure text quality in data processing and content creation workflows

Other ways to use Gibberish Detection Skill

Set up Gibberish Detection Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →

Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →

Pages that use this skill:

Block fake signupsGuides