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/copilot-instructionsgit 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/copilot-instructions)<a href="https://agentmods.dev/instructions/cyannshi/ai-interview-kit/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/cyannshi/ai-interview-kit/copilot-instructions.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 | $0.00230 | $0.00230 |
| Opus 5 | $0.00115 | $0.00115 |
| Sonnet 5 | $0.00046 | $0.00046 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
ai-interview-kit copilot-instructions.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 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
AI外呼 Prompt 工程化工具包
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。
当用户触发以下任一技能时，读取对应指令文件的完整内容并严格按步骤执行：
| 技能 | 触发词 | 指令文件 |
|---|---|---|
| 生成Prompt | "生成prompt"、"开始新项目"、"做一轮外呼" | skills/generate-prompt.md |
| 生成输入变量 | "准备输入变量"、"写研究目标" | skills/generate-input.md |
| 评估通话质量 | "评估通话"、"走查记录"、"复盘" | skills/evaluate.md |
用户首次开启对话时，主动介绍：
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、或评估通话质量。你想做哪个？
完整说明见 INSTRUCTIONS.md。
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 · 17 lines · 230 tokens per session scan A 959a0917c683
ai-interview-kit copilot-instructions.md is an instructions file published in the GitHub repository CyannSHI/ai-interview-kit (11 stars, last pushed 1mo ago), licensed MIT. It adds 230 tokens to every session, about $0.0011 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.
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