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    Skill License Fingerprinter

    6

    Protect your IP by embedding invisible, redundant buyer fingerprints and license terms into your AI skill files.

    $7

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

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    skill-license-fingerprinter

    skill-license-fingerprinter

    Example session with this skill installed

    Analyze this leaked SKILL.md file against my ledger to find out which buyer redistributed it.

    • Read your context and instructions
    • Compiled the -license-fingerprinter

    Match Found: buyer_0821 (jane.doe@email.com)
    Confidence: 95% (HIGH)

    • Frontmatter: Match
    • Zero-Width: Match
    • Spacing Signature: Match

    Draft DMCA notice generated based on your template. Would you like to review the generated markdown?

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Anti-Piracy for AI Skill Creators

    The Skill License Fingerprinter is a specialized security tool for developers and creators selling AI agent skills via third-party platforms (like Gumroad or personal sites). It solves the problem of unauthorized redistribution by embedding unique, redundant identifiers into the SKILL.md file at the time of sale, allowing you to trace any leaked copy back to the original purchaser.

    What it does

    The system utilizes three distinct fingerprinting channels to ensure traceability even if a buyer attempts to "clean" the file:

    • Invisible Zero-Width Encoding: Encodes buyer IDs directly into headings using non-printing characters that survive most copy-pasted transfers.
    • Spacing Signatures: Encodes data through subtle variations in sentence spacing (single vs. double spaces) invisible in rendered markdown.
    • Frontmatter Metadata: A clear YAML comment for immediate identification.

    Why use this skill

    Unlike standard watermarking, this skill provides a complete workflow: it generates a personalized LICENSE.md, maintains a secure local ledger of buyers, and includes a matching engine that calculates a confidence score based on how many fingerprint channels survived the leak. It bridges the gap between selling a plain text file and maintaining intellectual property rights.

    Output

    The skill produces a personalized skill folder ready for delivery to the buyer and generates a draft DMCA notice if a leak is detected and matched to a buyer in your ledger.

    Built by Nex AI. More skills and info at nex-ai.be and slopsome.com.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skill Creator Skills.

    • Requires enough text to embed spacing signatures.
    • No protection against manual rewrites.
    • Requires local buyer ledger management.

    Open docs

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Permissions

    Terminal / Shell
    Listed5 months ago
    Updated3 months ago

    What's inside

    Frequently Asked Questions

    This skill protects your AI IP by embedding invisible, redundant identifiers (fingerprints) into your skill files at the point of sale. This allows you to trace unauthorized redistribution or leaks back to the specific buyer using invisible encoding and spacing signatures.

    The skill is designed to watermark standard Markdown (.md) and text-based files, making it compatible with any AI agent platform that utilizes text-based instructions or system prompts. It works externally to your agent to prepare the files for secure distribution.

    Even if a user removes the visible metadata, the skill uses deep level 'Zero-Width Encoding' and spacing signatures that remain hidden in the text. The included matching engine can still identify the source of a leak even if only a portion of the original text is recovered.

    You will receive the core fingerprinting engine, a secure local ledger system to track buyer IDs, a matching tool to analyze leaked files, and a template generator for personalized LICENSE.md files and DMCA notices.

    No, the fingerprinting techniques are designed to be invisible to the end-user and non-disruptive to the LLM. The non-printing characters and spacing variations do not change the meaning of your prompts or impact the agent's performance.

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