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/WangTingYeYe/llm-agent-studyWrote 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/wangtingyeye/llm-agent-study/document)<a href="https://agentmods.dev/rules/wangtingyeye/llm-agent-study/document"><img src="https://agentmods.dev/badge/rules/wangtingyeye/llm-agent-study/document/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/wangtingyeye/llm-agent-study/document"><img src="https://agentmods.dev/badge/rules/wangtingyeye/llm-agent-study/document.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 | $0.00190 |
| Opus 5.5 | $0.00000 | $0.00076 |
| Sonnet 5.5 | $0.00000 | $0.00038 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
document 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 1mo 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
文档规范
README.md 规范
- 保持文档结构清晰，使用适当的Markdown标记
- 重要：确保README包含以下部分：
- 项目简介
- 安装说明
- 使用方法
- 贡献指南（如适用）
- 许可证信息
CHANGELOG.md 规范
在要求更新CHANGELOG.md时，请按照以下格式进行更新：
## v1.0.0
- 新增功能: 重置设备ID
- 修复bug: 修复设备ID重置失败的问题
文档更新原则
- 保持文档与代码同步更新
- 使用简洁明了的语言
- 提供足够的示例和说明
- 确保文档格式一致
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.
- 1mo ago First seen · 29 lines · 190 tokens per session scan A f41516080c06
document is a cursor rule published in the GitHub repository WangTingYeYe/llm-agent-study (4 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 190 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 2026-08-31.
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