Authorization notice. Hacker is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.
Who it is forAn AppSec engineer who has been asked to review a feature that sends user input to a large language model and needs reference material before the review.
The problemSearching the web for AI security guidance returns mixed quality results with no clear structure.
The outcomeA short list of AI security and LLM engineering resources from the repo, each with its path and purpose, to use as review references.
What you need first
- A web browser to read the repository on GitHub
- git, if you want a local clone (optional)
- Time to read the folder pages and check the license of any tool you plan to use
Steps
- Run
git clone https://github.com/Elite588/Hacker.gitto get a local copy, or browse the repo on GitHub. (inferred, check the README) - Open the ai/ folder, which the README says contains AI security and LLM engineering resources.
- List the files and subfolders that cover AI security.
- Note each resource path, title, and what it covers.
- Read the chosen resources and record which review checks they support.
Prompt for your agent
Using the GitHub repository Elite588/Hacker, open the ai/ folder and list the AI security and LLM engineering resources relevant to reviewing <target LLM application>. Report a table with resource name, path, and one-line purpose. Verify that every path you report exists in the repository tree before including it.
Caveat. The README gives only folder-level descriptions, so the specific files inside ai/ must be opened and checked before you rely on them.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for Elite588/Hacker and "Find vetted AI security references for an LLM review"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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