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Prompts Linux Unix Password Config Audit Prompt Creator

general user security user risk: medium

Linux Unix Password Config Audit Prompt Creator

Instructs the model to create a prompt for auditing password configuration files in Linux and Unix systems.

  • Policy sensitive
  • Human review

PROMPT

create prompt for audit purpose on password configuartion file for linux & unix

EXPECTED OUTPUT

Format
plain_text

SUCCESS CRITERIA

  • Create a prompt for auditing password configuration files on Linux and Unix systems

FAILURE MODES

  • Vague phrasing may lead to off-topic or incomplete prompts
  • Typos like 'configuartion' may cause misinterpretation of the target file

CAVEATS

Missing context
  • Specific configuration files to audit
  • Password policy parameters to check (e.g., min length, aging, hashing algorithm)
  • Intended use of the prompt (e.g., for LLM, auditor checklist, automation script)
  • Desired output format for the created prompt
Ambiguities
  • Misspelled 'configuartion' (likely 'configuration')
  • Unclear what kind of 'prompt' is desired (e.g., AI prompt, checklist, script template)
  • Vague scope: 'password configuration file' – which files? (e.g., /etc/login.defs, /etc/pam.d/)
  • 'linux & unix' is broad; no distinction between Linux distros or Unix variants

QUALITY

OVERALL
0.30
CLARITY
0.50
SPECIFICITY
0.30
REUSABILITY
0.20
COMPLETENESS
0.30

IMPROVEMENT SUGGESTIONS

  • Correct typos: 'Create a prompt for auditing the password configuration files (e.g., /etc/login.defs, /etc/pam.d/common-password) on Linux and Unix systems.'
  • Specify checks: 'Include verification of parameters like PASS_MAX_DAYS, PASSWORD_MINLEN, sha512 hashing, etc.'
  • Clarify type: 'Create a detailed AI prompt that guides an auditor or LLM through checking...'
  • Add structure: 'The prompt should output a report with pass/fail status for each check.'

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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