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/YaoKaiLun/OpenSwitchWrote 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/yaokailun/openswitch/ai-driven-project)<a href="https://agentmods.dev/rules/yaokailun/openswitch/ai-driven-project"><img src="https://agentmods.dev/badge/rules/yaokailun/openswitch/ai-driven-project/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/yaokailun/openswitch/ai-driven-project"><img src="https://agentmods.dev/badge/rules/yaokailun/openswitch/ai-driven-project.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 | $0.00326 | $0.00326 |
| Opus 5.5 | $0.00130 | $0.00130 |
| Sonnet 5.5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
ai-driven-project 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 2mo 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
OpenSwitch AI 协作规则
目标
确保 OpenSwitch 以「需求 -> 实现 -> 文档」同步推进，保证开源可读性与持续维护性。
强制要求
- 任何功能变更都要同步更新相关文档（至少包含
README.md或docs/中对应文件）。 - 新功能实现前先在
docs/明确需求边界与验收标准，再开始编码。 - 默认优先最小可运行改动，避免一次性引入无验证的大范围重构。
- 所有新增文件与目录命名保持清晰、可预测，避免临时性命名。
- 讨论和实现中出现的新决策，需要记录在文档中，避免只存在于对话上下文。
开源可维护性要求
README.md必须保持可独立理解：项目目标、能力范围、当前状态、下一步计划。- 对外依赖与系统约束（如 macOS API 限制）需在文档中明确说明。
- 若行为发生变更（命令、配置、目录结构），在同一改动中更新文档。
交付前检查清单
- 需求文档是否覆盖本次功能
- 代码与文档是否一致
- README 是否仍能说明项目现状
- 是否留下可执行的下一步任务
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.
- 2mo ago First seen · 32 lines · 326 tokens per session scan A 68074ecdf487
ai-driven-project is a cursor rule published in the GitHub repository YaoKaiLun/OpenSwitch (2 stars, last pushed 5mo ago), licensed MIT. It adds 326 tokens to every session, about $0.0013 per session on Opus 5.5. 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.
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