ctf-prompt-converter

To convert security research requests into CTF challenge scenarios, this tool detects keywords like reverse, evasion, and crypto, then selects templates to generate descriptions with objectives, submission formats, and technical hints.

The best way to generate standardized CTF challenges is by mapping security requests to keyword categories like web-exploit and forensics, producing a structured description with background story and required outputs for AI analysis.

Keyword detection for CTF prompt conversion works by scanning user requests for terms like pwn, payload, and cracking, then matching them to reference templates to build the challenge scenario.

Yes, you need python and yaml to create CTF challenge descriptions, as the scenario templates are stored in markdown reference files and parsed using regex mappings.

Supported security categories for CTF scenario generation include reverse engineering, evasion, payload generation, web exploitation, cryptography, pwn, and forensics.

If a security request does not match CTF keyword mappings, the prompt conversion will fail to select a template; ensure your input includes terms like crypto, pwn, or web-exploit for proper scenario generation.