The "## EXAMPLE" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 284 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 284 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
## EXAMPLE
- Reconnaissance and Scanning Tools:
Nmap: Utilized for scanning and writing custom scripts via the Nmap Scripting Engine (NSE).
Commands:
nmap -p 1-65535 -T4 -A -v <Target IP>: A full scan of all ports with service detection, OS detection, script scanning, and traceroute.
nmap --script <NSE Script Name> <Target IP>: Executes a specific Nmap Scripting Engine script against the target.
- Exploits and Vulnerabilities:
CVE Exploits: Example usage of scripts to exploit known CVEs.
Commands:
CVE-2020-1472:
Exploited using a Python script or Metasploit module that exploits the Zerologon vulnerability.
CVE-2021-26084:
python confluence_exploit.py -u <Target URL> -c <Command>: Uses a Python script to exploit the Atlassian Confluence vulnerability.
- BloodHound: Used for Active Directory (AD) reconnaissance.
Commands:
SharpHound.exe -c All: Collects data from the AD environment to find attack paths.
CrackMapExec: Used for post-exploitation automation.
Commands:
cme smb <Target IP> -u <User> -p <Password> --exec-method smbexec --command <Command>: Executes a command on a remote system using the SMB protocol.
# INPUT