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 agentmods add skills/yunyueli/greenroom/interview-scriptnpx skills add YunyueLi/greenroom --skill interview-scriptgit clone --depth 1 https://github.com/YunyueLi/greenroomWrote 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/yunyueli/greenroom/interview-script)<a href="https://agentmods.dev/skills/yunyueli/greenroom/interview-script"><img src="https://agentmods.dev/badge/skills/yunyueli/greenroom/interview-script.svg" alt="Measured on agentmods" 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 | $0.00124 | $0.01546 |
| Opus 5 | $0.00062 | $0.00773 |
| Sonnet 5 | $0.00025 | $0.00309 |
| Haiku 4.5 | $0.00012 | $0.00155 |
Grade A, and why
interview-script 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
3 files 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.
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 First seen · 87 lines · 124 tokens per session scan A c424fc0ebf47
interview-script is a skill published in the GitHub repository YunyueLi/greenroom (10 stars, last pushed 11d ago), licensed AGPL-3.0. It adds 124 tokens to every session and 1,546 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
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interview-simulator
Simulate role-specific mock interviews, score each answer, and provide concrete feedback and model responses for interview preparation.
Automation Interview Prep
Prepare for SDET and automation interviews round by round, covering coding screens, framework design, API testing tasks, scenario questions, and STAR stories built from real testing work.
careerops
CareerOps agent skill — open-source career OS modes (scan, evaluate, rank, tailor, interview, followup, outcome, advise). Materials-first. Never invents experience. Never auto-applies.
docs
Public-facing skill docs. Full mode prompts live in .agents/skills/careerops/.
job-application-kit
求职申请与面试准备套件：针对目标职位（JD/职位描述）量身定制简历与求职信，在诚实边界内修改与包装既有经历， 生成阶段化面试准备包并支持模拟面试。触发词：写简历、改简历、简历定制、tailor resume、resume、CV、 resume writing、求职信、cover letter、投递、申请职位、job posting、JD、职位描述、岗位匹配、fit 评估、 面试准备、面试问题、interview prep、mock interview、模拟面试、包装经历、量化成果。 不适用于：职位批量抓取与申请追踪管理、通用营销或商务文案、学术论文写作、招聘方视角的简历筛选。.