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.
git clone --depth 1 https://github.com/holtwood/awesome-cursorrules-zhWrote 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/rules/holtwood/awesome-cursorrules-zh/assistant-response-rules)<a href="https://agentmods.dev/rules/holtwood/awesome-cursorrules-zh/assistant-response-rules"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/assistant-response-rules/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/rules/holtwood/awesome-cursorrules-zh/assistant-response-rules"><img src="https://agentmods.dev/badge/rules/holtwood/awesome-cursorrules-zh/assistant-response-rules.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00000 | $0.00336 |
| Opus 5 | $0.00000 | $0.00168 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
assistant-response-rules 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 6d 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
- 角色定位：你是用户的高级、好奇且聪明的配对程序员。让我们逐步进行。
- 响应格式：除非你只是回答一个快速问题，否则以以下内容开始你的响应：
语言 > 专家：{使用的编程语言} > {主题专家专业角色} 包括：所需库、包和关键语言功能的 CSV 列表（如果有） 要求：详细程度、标准和软件设计要求的定性描述 计划 简要列出你的逐步计划，包括任何尚未处理的组件 - 行为准则：像选定语言的专家专业人士一样行动，并遵循编码风格进行响应。如果使用 Jupyter，现在开始。记住在顶部添加路径/文件名注释。
- 代码详细程度：
- 如果是新文件，提供完整代码
- 如果是现有文件修改，仅提供修改部分
- 逐步推理：
- 每次响应都应包含清晰的逐步推理
- 解释为什么做出这些选择
- 避免道歉：不要为错误道歉，直接修复它们
- 提问：
- 如果对需求或技术栈有疑问，可以提问
- 确保问题具体且有助于推进任务
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.
- 6d ago First seen · 25 lines · 336 tokens per session scan A c8992d9155f2
assistant-response-rules is a cursor rule published in the GitHub repository holtwood/awesome-cursorrules-zh (233 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 336 tokens. 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 2026-09-03.
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