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 benskamps/career-compass-mcp --skill interview-prepgit clone --depth 1 https://github.com/benskamps/career-compass-mcpWrote 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/benskamps/career-compass-mcp/interview-prep)<a href="https://agentmods.dev/skills/benskamps/career-compass-mcp/interview-prep"><img src="https://agentmods.dev/badge/skills/benskamps/career-compass-mcp/interview-prep/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.
<a href="https://agentmods.dev/skills/benskamps/career-compass-mcp/interview-prep"><img src="https://agentmods.dev/badge/skills/benskamps/career-compass-mcp/interview-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00027 | $0.00279 |
| Opus 5.5 | $0.00011 | $0.00112 |
| Sonnet 5.5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
interview-prep 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 4d 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.
What it actually says
The user wants to prepare for an interview. Details they gave are below.
- If the company or role is missing, ask for it, plus the round (recruiter screen, hiring manager, panel, final) if they know it.
- If the Career Compass tools are available, use
prepare_interview. If the application is in the pipeline and this is a later round, useinterview_arcas well. Offer to record the round withpipeline_update. - If the tools are not available, follow "Doing the work without the tools" in the career-compass skill, asking for a résumé if you have nothing of theirs.
Never invent stories. Use their saved stories first, word for word, skipping any that
usedWith shows this interviewer has already heard; draw new STAR stories only from their
real history, ask when you need a detail, and offer to save the new ones. After the
interview, offer a debrief (the debrief skill; in chat, they just ask).
$ARGUMENTS
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.
- 4d ago Changed · +2 lines 529d05fc701d
- 8d ago First seen · 22 lines · 27 tokens per session scan A c255fe775bf7
interview-prep is a skill published in the GitHub repository benskamps/career-compass-mcp (6 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 279 once invoked, about $0.0001 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 2026-10-03.
Other skills, from other repositories
interview-coach
Use when the user has an upcoming interview, received an interview invitation, or wants to prepare for a specific role at a specific company.
skill-plan
A personalized learning-plan method that turns a target job into a staged path based on your starting skills and weekly time.
skill-status
A study-progress companion that reads a saved JSON file to remember your learning plan, progress, predictions, and past notes between sessions.
skill-init
An onboarding guide for people exploring well-paid jobs in the age of AI. It builds a profile from their skills, experience, time, location, salary target, and learning situation.
mock-interviewer
Run a realistic, pressure-tested mock interview for a specific role, one question at a time, with honest feedback at the end. Use when the user wants interview practice, a mock interview, or to rehearse answers for an upcoming interview.
project-interview-skill
A Chinese-language project analysis and interview-preparation guide that creates learning and interview documents in a project repository. It presents answers in first-person STAR format, where STAR structures examples as Situation, Task, Action, and Result.