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/agents-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/agents-md)<a href="https://agentmods.dev/instructions/cyannshi/ai-interview-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/cyannshi/ai-interview-kit/agents-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 | $0.00324 | $0.00324 |
| Opus 5 | $0.00162 | $0.00162 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
ai-interview-kit AGENTS.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 3d 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外呼 Prompt 工程化工具包
本项目包含以下技能，用户开启对话时请主动介绍：
完整技能指令见 INSTRUCTIONS.md 和 skills/ 目录。
可用技能
-
generate-prompt — 生成完整的AI外呼Prompt
- 触发方式：
/generate-prompt或用户表达"生成prompt"、"开始新项目"、"做一轮外呼"等意图 - 指令文件：
skills/generate-prompt.md
- 触发方式：
-
generate-input — 生成结构化输入变量
- 触发方式：
/generate-input或用户表达"准备输入变量"、"写研究目标"等意图 - 指令文件：
skills/generate-input.md
- 触发方式：
-
evaluate — 评估通话质量
- 触发方式：
/evaluate或用户表达"评估通话"、"走查记录"、"复盘"等意图 - 指令文件：
skills/evaluate.md
- 触发方式：
开场引导
当用户首次开启对话且未明确指令时，用一句话介绍本工具包的能力，并询问用户想做什么：
这是 AI外呼 Prompt 工程化工具包，我可以帮你：生成Prompt（/generate-prompt）、准备输入变量（/generate-input）、或评估通话质量（/evaluate）。你想做哪个？
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.
- 3d ago First seen · 26 lines · 324 tokens per session scan A b394257d6a2c
ai-interview-kit AGENTS.md is an instructions file published in the GitHub repository CyannSHI/ai-interview-kit (11 stars, last pushed 1mo ago), licensed MIT. It adds 324 tokens to every session, about $0.0016 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
pdd AGENTS.md
Instructions for promptdriven/pdd, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
agentic-coding-workflow AGENTS.md
Instructions for abhilash-m96/agentic-coding-workflow, covering agentic coding workflow, rules, step 1 — understand the full scope, step 2 — propose the chunk plan and step 3 — write the finalised plan.
vscode-copilot-chat model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.
comfy-prompt-studio AGENTS.md
Instructions for yxhpy/comfy-prompt-studio, covering agents.md - ai 代理配置文档, ai 提供商, 1. ollama (默认), 2. gemini and 提示词生成服务.
ZipAI CLAUDE.md
Claude Code instructions for nickdesi/ZipAI, covering claude.md — zipai: ultra-dense token optimizer, rules, 1. zero filler, 2. ambiguity and 3. prompt caching.
pudo-code-system prompt-library.instructions.md
Instructions for DongDuong2001/pudo-code-system, a project described as: Modular, scalable, automated development intelligence.