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Testing an LLM's robustness and limiting its risks v1.0.0

Use this resource to assess the security of a system built on an LLM

New

  • 91 downloads
  • 109 likes
  • 91 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-security-test-prompts

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt asks the assistant to act as a language model security specialist. It identifies vulnerabilities from test prompts, then suggests mitigations against data disclosure, prompt injection and harmful content, with guidelines for secure implementations. You get a set of test cases and recommendations.

Mostly picked by

Updated November 2, 2026

Card for the “Testing an LLM's robustness and limiting its risks” prompt

Details

Works in
Install guides
Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Your system or request, described in your message

Good fit for

  • Preparing a security review of an AI assistant
  • Building a robustness test set

Not for

    Tags

    • security
    • LLM
    • prompt injection
    • robustness

    About

    You say

    “My internal assistant can access a customer database. Suggest tests to check that it discloses nothing.”

    Card for the “Testing an LLM's robustness and limiting its risks” prompt

    Prompt published by majevva under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to assess the security of a system built on an LLM
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0.6 KB
    • llm-security-test-prompts.md0.6 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    majevva
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Large Language Models Security Specialist » (majevva, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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