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 instructions/cyannshi/ai-interview-kit/claude-mdgit clone --depth 1 https://github.com/CyannSHI/ai-interview-kitWrote 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/instructions/cyannshi/ai-interview-kit/claude-md)<a href="https://agentmods.dev/instructions/cyannshi/ai-interview-kit/claude-md"><img src="https://agentmods.dev/badge/instructions/cyannshi/ai-interview-kit/claude-md.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 | $0.00357 | $0.00357 |
| Opus 5 | $0.00179 | $0.00179 |
| Sonnet 5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
ai-interview-kit CLAUDE.md 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 5d 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
AI Interview Prompt Engineering Toolkit / AI外呼 Prompt 工程化工具包
This project includes 3 AI skills for end-to-end AI phone interview support. Each skill asks the user to choose their language (English/中文) at the start, then adapts accordingly.
本项目包含 3 个 AI 技能，用于 AI 电话外呼访谈的全流程支持。每个技能启动时让用户选择语言，后续自动适配。
When the user triggers any skill below, read the corresponding instruction file in full and follow its steps strictly:
| Skill | Triggers | Instruction File |
|---|---|---|
| Generate Prompt | "generate prompt" / "new project" / "生成prompt" / "开始新项目" | skills/generate-prompt.md |
| Generate Input Variables | "prepare input variables" / "准备输入变量" / "写研究目标" | skills/generate-input.md |
| Evaluate Call Quality | "evaluate calls" / "review transcripts" / "评估通话" / "走查记录" | skills/evaluate.md |
On first message, greet bilingually and let the user choose a skill:
👋 Welcome! / 欢迎！
This is the AI Interview Prompt Engineering Toolkit. I can help you: Generate a Prompt / Prepare Input Variables / Evaluate Call Quality
这是 AI外呼 Prompt 工程化工具包，我可以帮你： 生成Prompt / 准备输入变量 / 评估通话质量
What would you like to do? / 你想做哪个？
See INSTRUCTIONS.md for full details.
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.
- 5d ago First seen · 28 lines · 357 tokens per session scan A ae0bc9555fae
ai-interview-kit CLAUDE.md is an instructions file published in the GitHub repository CyannSHI/ai-interview-kit (11 stars, last pushed 1mo ago), licensed MIT. It adds 357 tokens to every session, about $0.0018 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 instructions, from other repositories
tju-thesis-review-kit CLAUDE.md
Instructions for ChenXi-hub/tju-thesis-review-kit, covering claude.md, 工作原则, 审查优先级, 硬约束 and 可复用技能.
open-dictionary AGENTS.md
Instructions for ahpxex/open-dictionary, covering open dictionary rewrite charter, product framing, core workflow, technical framework and 1. raw ingestion layer.
ab900 CLAUDE.md
Instructions for timothywarner-org/ab900, covering claude.md, repository purpose, architecture, commands and 2. non-ascii punctuation -- must return zero.
canvas-lms-mcp AGENTS.md
AGENTS.md instructions for bruchris/canvas-lms-mcp, covering agents.md — canvas lms mcp server, quick start, run with npx (no install needed), or install globally and architecture.
obsidian-university-workflow CLAUDE.md
Instructions for ABO896/obsidian-university-workflow, covering obsidian university workflow, project structure, rules for working on this project, templater api — always read the docs first and config alignment.
kleosrules AGENTS.md
AGENTS.md instructions for kleosr/kleosrules, covering agents.md — repository agent handbook, law, pack, skills (on demand) and workflows.