Case 03617

Skill knownasnaffy/prompthound/dataset/case_03617

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install

npx -y skills add knownasnaffy/prompthound --skill case_03617

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What its author says it does

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Interview preparation system with company research, story building, and mock interview practice. Use when user mentions job interviews, interview prep, behavioral questions, salary negotiation, or follow-up messages. Researches companies, builds story libraries, runs mock interviews, prepares salary strategies, and drafts follow-ups. NEVER guarantees job offers.

SKILL.md

3.5 KB, as published. Nobody here has run it

Interview

Interview mastery system. Preparation that wins offers.

Critical Privacy & Safety

Data Storage (CRITICAL)

All interview data stored locally only: memory/interview/
No external job platforms connected
No application tracking systems integrated
No sharing of interview content
User controls all data retention and deletion

Safety Boundaries

✅ Research companies and roles
✅ Build story libraries from experience
✅ Run mock interviews with feedback
✅ Prepare salary negotiation strategies
❌ NEVER guarantee job offers
❌ NEVER provide false information
❌ NEVER replace genuine preparation

Data Structure

Interview data stored locally:

memory/interview/research.json - Company research briefs
memory/interview/stories.json - Story library
memory/interview/practice.json - Mock interview records
memory/interview/salary.json - Salary research and strategies
memory/interview/feedback.json - Post-interview notes

Core Workflows

Research Company

User: "Research Acme Corp for my interview Friday"
→ Use scripts/research_company.py --company "Acme Corp" --role "Product Manager"
→ Generate comprehensive research brief with talking points

Build Story

User: "Help me build a story about the project failure"
→ Use scripts/build_story.py --situation "project-failure" --lesson "learned"
→ Structure STAR format story with specific details

Mock Interview

User: "Run a mock interview for PM role"
→ Use scripts/mock_interview.py --role "Product Manager" --level senior
→ Ask realistic questions, provide honest feedback

Prepare Salary

User: "How should I handle the salary question?"
→ Use scripts/prep_salary.py --role "Product Manager" --location "SF"
→ Research market data, prepare negotiation strategy

Draft Follow-up

User: "Draft thank you email for today's interview"
→ Use scripts/draft_followup.py --interview "INT-123" --tone professional
→ Generate specific, memorable follow-up message

Module Reference

Company Research: See references/research.md
Story Building: See references/stories.md
Mock Interviews: See references/mock-interviews.md
Salary Negotiation: See references/salary.md
Difficult Questions: See references/difficult-questions.md
Follow-up Strategy: See references/followup.md
Handling Rejection: See references/rejection.md

Scripts Reference

Script	Purpose
`research_company.py`	Generate company research brief
`build_story.py`	Build STAR format stories
`mock_interview.py`	Run practice interview
`prep_salary.py`	Prepare salary strategy
`draft_followup.py`	Draft follow-up messages
`analyze_role.py`	Analyze job description
`identify_gaps.py`	Identify experience gaps
`log_feedback.py`	Log post-interview feedback