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.
npx skills add tam159/next-role --skill interview-battlecardgit clone --depth 1 https://github.com/tam159/next-roleWrote 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.
[](https://agentmods.dev/skills/tam159/next-role/interview-battlecard)<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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:
write_file("/interview_battlecard/<resume>/<jd>.json", <json string>)— write the JSON source.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>", "..."]
}
]
}
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.
- 8d ago First seen · 175 lines · 64 tokens per session scan A 6695242c64f6
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.
Other skills, from other repositories
ai-dev-jobs-mcp-v2
AI Dev Jobs MCP workflow skill. Use this skill when the user needs Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP and the operator should preserve the upstream workflow, copied support files, and provenance before…
ai-dev-jobs-mcp
AI Dev Jobs MCP workflow skill. Use this skill when the user needs Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP and the operator should preserve the upstream workflow, copied support files, and provenance before…
openspec-verify-change
Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
openspec-new-change
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.
omni-mcp
Connect to the OmniRoute MCP server (110 tools, 3 transports: SSE/stdio/HTTP). Covers routing, cache, compression, memory, skills, providers, and audit tools across 33 permission scopes.