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 suxrobGM/jobpilot --skill interviewgit clone --depth 1 https://github.com/suxrobGM/jobpilotWrote 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/suxrobgm/jobpilot/interview)<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/interview"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/interview/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/suxrobgm/jobpilot/interview"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/interview.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00029 | $0.00685 |
| Opus 5.5 | $0.00012 | $0.00274 |
| Sonnet 5.5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
interview 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 26d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Prep
Generate interview prep tailored to a JD and the candidate's resume.
Setup
Follow ../_shared/setup.md, then load the structured resume (jobpilot-api GET /api/resumes/<id>, the caller's resumeId else user.primaryResumeId). Its content holds the full background; don't Read the source PDF.
Step 1: Analyze the Role
From the argument, identify: role title + level + team, core technical requirements, domain/industry, key responsibilities, company size/stage, any interview-process hints.
Step 2: Generate Questions
Behavioral (5–7)
Focus on competencies the role requires. For each: question + suggested STAR answer (Situation, Task, Action, Result) using a real example from the resume + the experience to reference.
Example:
**Q: Tell me about a time you led a major migration.**
Suggested answer (STAR):
- Situation: At EmTech Care Labs, the platform was on AWS Amplify Gen 1 with slow builds.
- Task: Lead the migration to Gen 2 and unify the codebase.
- Action: Phased migration, unified TypeScript monorepo, consolidated 3 component libraries into one design system.
- Result: Cut build/deploy time 40%, created 40+ reusable components, improved velocity.
Technical (5–7)
Based on the role's stack and requirements: language/framework, architecture and patterns, technologies listed in the JD. For each: concise answer outline with talking points from the candidate's experience.
System Design (2–3)
Scenarios relevant to the company's product area. For each: outline the approach + which candidate projects demonstrate relevant experience.
Company / Domain (2–3)
Questions about the company's product, industry, competitors. Suggest research areas to explore before the interview.
Step 3: Identify Weak Spots
List requirements where the candidate's experience is thin. For each, give an honest answer the candidate could say out loud: the closest thing they have done, named, and what they would do to close the gap. No "I'm a quick learner" or "I'm passionate about learning". Recommend areas to brush up on.
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.
- 26d ago Changed 9f88ee01d8ab
- 1mo ago First seen · 77 lines · 29 tokens per session scan A 5d2478d6951c
interview is a skill published in the GitHub repository suxrobGM/jobpilot (101 stars, last pushed 19d ago), licensed MIT. It adds 29 tokens to every session and 685 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 2026-08-30.
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