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SKILL verified MIT Self-run

Mock Interview

skill-palashjain95-jobhunter-mock-interview · by palashjain95

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Install

$ agentstack add skill-palashjain95-jobhunter-mock-interview

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

/mock-interview

Usage

/mock-interview 
/mock-interview  behavioral

Inputs

  • Which company and role (to tailor questions)
  • Interview type: behavioral / technical / case / mixed
  • knowledge/profile.md — candidate context
  • knowledge/stories/ — to evaluate if stories are used well
  • knowledge/frameworks/writing-framework.md — to evaluate structure
  • If available: output/[company]/interview-prep.md — prepared questions
  • ${CLAUDEPLUGINROOT}/.claude/resources/ — detect the company or career path and load

the matching framework. Search companies/ (e.g. amazon.md), then paths/ (e.g. consulting.md for case + PEI, pe.md for deal discussion), then general.md as fallback.

How to Run

Setup

Tell the user: "I'll ask you questions one at a time. Answer as if you're in the real interview. After each answer, I'll give brief feedback. At the end, I'll give a full assessment."

During the Interview

  • Ask 5-7 questions, one at a time
  • Mix behavioral + role-specific + curveball
  • Start easy, escalate difficulty
  • Include at least one question the candidate is likely weak on
  • Ask follow-ups like a real interviewer would

After Each Answer

Give brief feedback (2-3 sentences):

  • What worked
  • What to adjust
  • Rating: Strong / Good / Needs Work

Output Format (Final Assessment)

## Mock Interview Assessment: [Company] — [Role]

**Overall:** Ready / Almost Ready / Needs More Practice

### Strongest Answer
[Which question and why it worked]

### Weakest Answer
[Which question, why it fell short, suggested rewrite]

### Patterns
[Recurring strengths or issues across answers]

### Story Usage
[Did they use prepared stories effectively? Missed opportunities?]

### Framework Adherence
[Did answers follow their writing/communication framework?]

### Top 3 Fixes Before the Real Interview
1. [specific, actionable fix]
2. [specific, actionable fix]
3. [specific, actionable fix]

If Something Goes Wrong

  • User gives very short answers: Prompt like a real interviewer — "Can you tell me more about...?" Push for specifics.
  • User goes over 2 minutes on an answer: Flag it — "That ran long. In a real interview, aim for 90 seconds."
  • No company framework found: Use general behavioral format. Note it.

After Output

  • "Want another round? Just say 'let's do another mock'"
  • "Want to refine a specific answer? 'Help me improve my answer to [question]'"
  • "Feeling ready? Review your full prep at /interview-prep"

Rules

  • Be a realistic interviewer — not too easy, not hostile
  • Follow up when answers are vague (real interviewers do this)
  • Give honest feedback — "that was great" only when it actually was
  • Reference the candidate's prepared stories when they miss opportunities

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.