interview-battlecard

interview-battlecard is a skill for Claude Code, Codex from tam159/next-role. It costs 64 tokens per session (2,436 once invoked), scanned A, original, MIT.

A one-page interview preparation document made from a tailored résumé, interview coaching notes, and company research. It summarizes the candidate’s strongest evidence, likely interview topics, prepared stories, questions, and cautions.

In plain words
What is it for?
Use it at the final stage of interview preparation to create a scannable battlecard in JSON and PDF formats for the interview day.
Why use it?
It puts the most useful preparation in a compact format that a candidate can review shortly before an interview. It keeps the summary based on existing preparation rather than adding unsupported claims.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it at the final stage of interview preparation to create a scannable battlecard in JSON and PDF formats for the interview day.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/tam159/next-role/interview-battlecard.svg)](https://agentmods.dev/skills/tam159/next-role/interview-battlecard)
Your own site
<a href="https://agentmods.dev/skills/tam159/next-role/interview-battlecard"><img src="https://agentmods.dev/badge/skills/tam159/next-role/interview-battlecard.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,436 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 $0.00064 $0.02436
Opus 5 $0.00032 $0.01218
Sonnet 5 $0.00013 $0.00487
Haiku 4.5 $0.00006 $0.00244

Measured 8d ago against content hash 6695242c64f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

interview-battlecard 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 8d 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/career-agent/interview-battlecard/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Battlecard

When to use

Stage 5 of the career-agent workflow, only after the tailored resume and the interview-coach prep doc both exist. The battlecard is a derivative — it does not introduce new content, it compresses what's already in those two files into something the candidate can scan in 60 seconds before walking into a room.

Inputs (read these first)

The main agent passes the resume slug and JD slug as part of the orchestration context. Read all three at limit=1000:

  • /tailored_resume/<resume-slug>/<jd-slug>.yaml — for the candidate's strongest claims and headline metrics.
  • /interview_coach/<resume-slug>/<jd-slug>.md — for the round taxonomy, STAR stories (use the 60-second versions), questions to ask back, and watch-outs.
  • /research/<resume-slug>/<jd-slug>.md — for the 3 punchiest company facts.

Outputs

Two siblings on disk; the JSON is the source of truth (LLM-written, user-editable), the PDF is the day-of artifact the candidate downloads and reviews.

/interview_battlecard/<resume-slug>/<jd-slug>.json
/interview_battlecard/<resume-slug>/<jd-slug>.pdf

Two-step flow, in this exact order:

  1. write_file("/interview_battlecard/<resume>/<jd>.json", <json string>) — write the JSON source.
  2. render_battlecard_pdf("/interview_battlecard/<resume>/<jd>.json") — render the PDF beside it.

See the "## Updates" section below for follow-up edits (adding a round, swapping a story, re-rendering after a user hand-edit).

JSON shape (strict)

The JSON object must validate against this shape exactly. The rounds array order must match the interview-coach prep doc; do not invent or skip rounds.

{
  "document_title": "Interview Battle Card — <Candidate Name>",
  "rounds": [
    {
      "title": "<Round name> — <format>",
      "subtitle": "<Company> · <Role>",
      "introduction": ["<keyword 1>", "<keyword 2>", "..."],
      "stories_ready": [
        { "title": "<Story title>", "body": "<15-sec one-liner>" }
      ],
      "company_facts": ["<falsifiable fact 1>", "..."],
      "questions": ["<grounded question 1>", "..."],
      "watch_outs": ["<risk + 1-line mitigation 1>", "..."]
    }
  ]
}

Read the full file on GitHub · 175 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. 8d ago First seen · 175 lines · 64 tokens per session scan A 6695242c64f6

Subscribe to this mod's changes

interview-battlecard is a skill published in the GitHub repository tam159/next-role (49 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 2,436 once invoked, about $0.0003 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 2026-08-30.

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