interview-coach

interview-coach is a skill for Claude Code, Codex from tam159/next-role. It costs 58 tokens per session (967 once invoked), scanned A, original, MIT.

An interview-preparation workflow creates one structured preparation document from a resume, job description, intake notes, and a research report. It includes a reusable introduction and answers organized by interview round.

In plain words
What is it for?
It helps write 60-second and 30-second introductions and prepare STAR stories, a method for describing a Situation, Task, Action, and Result. It adapts to named interview rounds or uses a standard three-round structure.
Why use it?
Preparing separately for recruiter, behavioral, and technical interviews can leave answers unfocused or disconnected from the candidate's experience. This workflow turns the available information into a single plan.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps write 60-second and 30-second introductions and prepare STAR stories, a method for describing a Situation, Task, Action, and Result. It adapts to named interview rounds or uses a standard three-round structure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tam159/next-role/interview-coach
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.

Any agent
npx skills add tam159/next-role --skill interview-coach
Clone the repo
git clone --depth 1 https://github.com/tam159/next-role

Made for: Claude Code, Codex.

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-coach

README.md
[![agentmods](https://agentmods.dev/badge/skills/tam159/next-role/interview-coach/github.svg)](https://agentmods.dev/skills/tam159/next-role/interview-coach)
Your own site
<a href="https://agentmods.dev/skills/tam159/next-role/interview-coach"><img src="https://agentmods.dev/badge/skills/tam159/next-role/interview-coach/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for interview-coach

Your own site · 80×15
<a href="https://agentmods.dev/skills/tam159/next-role/interview-coach"><img src="https://agentmods.dev/badge/skills/tam159/next-role/interview-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 967 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00058 $0.00967
Opus 5.5 $0.00023 $0.00387
Sonnet 5.5 $0.00012 $0.00193
Haiku 4.5 $0.00006 $0.00097

Measured 2mo ago against content hash c293e89ea726, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

interview-coach 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 2mo 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.

backend/agents/career_agent/skills/interview-coach/interview-coach/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Coach

Give the candidate everything they need to walk into the interview rounds prepared.

Inputs

The caller passes exact filesystem paths in the task description:

  • resume_path — the candidate's processed resume
  • jd_path — the processed job description
  • intake_path — optional intake notes (especially: prep timeline, interview process)
  • research_path — the hiring-recon report
  • output_path — where to write the prep doc

Read all four input files in full with read_file(path, limit=1000).

Determining the rounds

Check the intake for an interview process (e.g. "recruiter screen → hiring-manager → tech → onsite"). If present, prep every named round.

If no round info is given, default to a 3-round taxonomy:

  1. Recruiter screen (logistics, fit, salary expectations)
  2. Hiring-manager behavioral (leadership, problem-solving, motivation)
  3. Technical / role-specific (deep skills check)

If the prep timeline is short (< 3 days), prepend a ## Triage section recommending the 2 rounds to focus on.

Output structure

# Interview prep — <Role> at <Company>

_Captured <UTC date>_

## Self-introduction

**60-second elevator pitch** (~120 words):
> <first-person: role identity → 2 strongest accomplishments → why this company/role specifically, informed by the research's Company snapshot>

**30-second short version** (~60 words):
> <same arc, less detail — used when interviewer says "keep it brief">

_These two versions are reused across every round. Do not rewrite per round._

## Triage         ← include only if prep timeline < 3 days
- Focus on: <Round X>, <Round Y>
- Reason: <one short line>

## Round-by-round prep

### Round 1 — <Name> (<format>)

**Likely question themes:**
- <Pick 2-3 from: Leadership / Problem-solving / Collaboration / Achievement / Failure & growth / Role-specific>

**STAR stories ready (3-5):**
1. **<Story title>** — maps to: <theme>
   - **Full (~2 min):** S — ... | T — ... | A — ... | R — ...
   - **Short (~60 sec):** <condensed>
2. ...

**Questions to ask back (2-3):**
- <question grounded in research's Hiring team / Reputation>
- ...

**Watch-outs:**
- <risk from research's Reputation & culture, and how to navigate>

### Round 2 — <Name> (<format>)
...

Read the full file on GitHub · 93 lines

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. 2mo ago First seen · 93 lines · 58 tokens per session scan A c293e89ea726

Subscribe to this mod's changes

interview-coach is a skill published in the GitHub repository tam159/next-role (65 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 967 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Related

interview-coach compared with skills from other repositories

interview-coach next to 6 skills from other repositories
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