interview-kit

interview-kit is a skill for Claude Code, Codex from Maudeunfledged834/startup-founder-skills. It costs 34 tokens per session (1,751 once invoked), scanned A, a copy of interview-kit, MIT.

A structured interview process for assessing candidates for a particular role. It includes interview questions, scoring guides, interviewer alignment, and ways to make evaluations more consistent.

In plain words
What is it for?
Use it to design interview rounds, create question sets, build scorecards, calibrate interviewers, and evaluate candidates against the skills the role needs.
Why use it?
It replaces informal interviews with shared criteria and observable evidence. This helps interviewers compare candidates fairly and reduces inconsistent or biased decisions.

Skill for Claude CodeCodex

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

Good fit Use it to design interview rounds, create question sets, build scorecards, calibrate interviewers, and evaluate candidates against the skills the role needs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/maudeunfledged834/startup-founder-skills/interview-kit
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 Maudeunfledged834/startup-founder-skills --skill interview-kit
Clone the repo
git clone --depth 1 https://github.com/Maudeunfledged834/startup-founder-skills

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-kit

README.md
[![agentmods](https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/interview-kit/github.svg)](https://agentmods.dev/skills/maudeunfledged834/startup-founder-skills/interview-kit)
Your own site
<a href="https://agentmods.dev/skills/maudeunfledged834/startup-founder-skills/interview-kit"><img src="https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/interview-kit/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-kit

Your own site · 80×15
<a href="https://agentmods.dev/skills/maudeunfledged834/startup-founder-skills/interview-kit"><img src="https://agentmods.dev/badge/skills/maudeunfledged834/startup-founder-skills/interview-kit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,751 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.
Origin 100% copy Near-identical to another mod 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 $0.00034 $0.01751
Opus 5 $0.00017 $0.00875
Sonnet 5 $0.00007 $0.00350
Haiku 4.5 $0.00003 $0.00175

Measured 12d ago against content hash d838727f6f05, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

interview-kit 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 12d 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.

Origin

This is a copy

100% identical to interview-kit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/interview-kit/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Kit

When to Use

  • Designing a structured interview loop for a specific role and level
  • Creating standardized question banks organized by interview round type
  • Building scoring rubrics for consistent candidate evaluation across interviewers
  • Reducing interviewer bias with process controls and calibration
  • Turning a job description into a repeatable evaluation process
  • Calibrating interview panels after quarterly hiring outcome reviews

Context Required

  • From startup-context: Company stage, team size, engineering culture, current interview process (if any), hiring velocity
  • From user: Role title, level (junior/mid/senior/staff), key competencies to evaluate, number of interview rounds the team can support, whether a take-home or live exercise is preferred

Workflow

  1. Define competencies — Extract 4-6 core competencies from the job description. Split into technical skills, domain knowledge, collaboration traits, and startup-fit signals. Each competency must be evaluable with observable evidence.
  2. Design the interview loop — Map competencies to interview stages with explicit, non-overlapping objectives per round. Typical startup loop: recruiter/founder screen, technical assessment, team interview, values interview. Assign timing and interviewers to each stage.
  3. Write structured questions — For each stage, write 3-5 primary questions with follow-up probes. Every question must map to a specific competency. Include "what good looks like" answer guidance so interviewers know what signal they are looking for.
  4. Build scorecards — Create a 1-4 rating scale (not 1-5 — it creates a "3 means fine" dead zone). Define behavioral anchors at each level specific to the role. Interviewers must score independently before the debrief.
  5. Design take-home or live exercise — If applicable, create a practical assessment that mirrors real work. Time-cap it (2-4 hours max), share the evaluation rubric with the candidate upfront, and always follow up with a live walkthrough.
  6. Add anti-bias guardrails — Require structured debrief instructions, independent scoring protocol, and a checklist of common bias traps. Every candidate for the same role gets the same core questions in the same order.
  7. Plan calibration cadence — Set quarterly recalibration using hiring outcome data. Review whether loop design still surfaces the right signals based on quality-of-hire metrics.

Read the full file on GitHub · 142 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 142 lines · 34 tokens per session scan A d838727f6f05

Subscribe to this mod's changes

interview-kit is a skill published in the GitHub repository Maudeunfledged834/startup-founder-skills (6 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,751 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to interview-kit, differing in 0 lines, and is treated as a copy.

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