interview

interview is a command for coding agents from soheilfallah/jobxhunter. It costs 23 tokens per session (260 once invoked), scanned A, original, MIT.

An interview-preparation command for a job application. It reads the job description, your application notes, and your profile to prepare likely questions and answers using the STAR method: situation, task, action, and result.

In plain words
What is it for?
Use it to create interview preparation for a specific role, including an opening introduction, evidence-based answers, gap explanations, questions for the interviewer, and likely curveballs.
Why use it?
It turns the evidence already stored in your job workspace into a focused preparation pack. It also helps you explain missing or partial qualifications instead of being caught off guard.

Command

Part of the jobxhunter plugin — 1 skill, 8 commands, 2 agents, 3 MCP servers shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add commands/soheilfallah/jobxhunter/interview
Clone the repo
git clone --depth 1 https://github.com/soheilfallah/jobxhunter

Or install jobxhunter, the plugin that ships this one along with the rest of its 1 skill, 8 commands, 2 agents, 3 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for interview

README.md
[![agentmods](https://agentmods.dev/badge/commands/soheilfallah/jobxhunter/interview.svg)](https://agentmods.dev/commands/soheilfallah/jobxhunter/interview)
Your own site
<a href="https://agentmods.dev/commands/soheilfallah/jobxhunter/interview"><img src="https://agentmods.dev/badge/commands/soheilfallah/jobxhunter/interview.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 260 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00023 $0.00260
Opus 5 $0.00012 $0.00130
Sonnet 5 $0.00005 $0.00052
Haiku 4.5 $0.00002 $0.00026

Measured 3d ago against content hash b8900e1ea6e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

interview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

commands/interview.md · 20 lines

What it actually says

Use the jobxhunter skill's INTERVIEW PREP routine for a role you've applied to.

Read the job folder (job-description.md + the notes.md coverage matrix) and the master profile, then write interview-prep.md into that same folder: the interviewer persona for this JD, a 30-second opener, predicted questions grouped by the JD's must-have competencies with STAR answers built from profile evidence, gap-defence answers for every hard-gap/partial the coverage matrix surfaced (the questions they will probe), sharp questions to ask them, and the likely curveballs (salary anchored to the fetched Adzuna band, notice period, any timeline gap).

Follow SKILL.md ("Command: INTERVIEW PREP") and references/interview-prep.md. For a gap, prepare a confident way to handle the question. Ties to the tracker: tracker.py update … {"status":"Interview"} stamps the date and keeps the pack in the folder.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 20 lines · 23 tokens per session scan A b8900e1ea6e3

Subscribe to this mod's changes

interview is a command published in the GitHub repository soheilfallah/jobxhunter (8 stars, last pushed 7d ago), licensed MIT. It adds 23 tokens to every session and 260 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.