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/cooooooosdas/anylogic/claude-mdgit clone --depth 1 https://github.com/cooooooosdas/AnylogicWrote 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/cooooooosdas/anylogic/claude-md)<a href="https://agentmods.dev/instructions/cooooooosdas/anylogic/claude-md"><img src="https://agentmods.dev/badge/instructions/cooooooosdas/anylogic/claude-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 | $0.00568 | $0.00568 |
| Opus 5 | $0.00284 | $0.00284 |
| Sonnet 5 | $0.00114 | $0.00114 |
| Haiku 4.5 | $0.00057 | $0.00057 |
Grade A, and why
Anylogic CLAUDE.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
CLAUDE.md — 本项目协作指南
项目身份
这是 工程实践与创新能力大赛 的参赛项目，核心产出是一套基于 AnyLogic 的数字孪生仿真模型 + 配套 Java 代码，用于优化汽车混流装配线。
技术边界
- 主仿真平台：AnyLogic（商业软件，用 Java 编写模型逻辑）
- 本仓库的代码：纯 Java，可嵌入 AnyLogic 的 Java 代码片段，也可独立编译运行
- 不要引入 Spring / Hibernate / 任何 Web 框架 — 会与 AnyLogic 冲突
- 最小化外部依赖 — 目前只有 Gson（JSON 解析），其余全部手写
目录含义
data/*.json— 仿真参数。改参数改这里，不要硬编码在 Java 里experiments/— 竞赛演示用的入口主类，跑mvn exec:javasrc/main/java/assemblyline/— 核心框架代码docs/— 竞赛报告草稿
编码规范
- Java 11 语法，包名
assemblyline.* - 领域枚举放在
model/包下 - 概率分布（三角 / Weibull / 正态）统一走
utils/Distribution - 随机数统一走
utils/RandomGenerator，支持重置种子（蒙特卡洛复现性） - 类和方法加 Javadoc，但只写非 obvious 的内容
- 中文注释只用在领域特定术语处
竞赛特定约束
- 每次提交的代码必须可编译通过（
mvn compile） - 仿真实验的结果要能导出为 CSV（供竞赛报告绘图）
- 与队友和 AI 一起生成的文档中，如果某参数来源不明确，在对应 JSON 里加
"source": "TODO: 与队友确认"字段 - 凡使用 AnyLogic 内置 API 的地方，加注释标记
// AnyLogic API，方便后续移植
不能做的事
- 不要删除或重命名
data/下的 JSON 文件（队友会基于这些参数写 AnyLogic 模型） - 不要引入超过 3 个外部依赖
- 不要把数据说明书里的参数直接散落在代码里，统一进 JSON
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 · 43 lines · 568 tokens per session scan A 65d9c40f5071
Anylogic CLAUDE.md is an instructions file published in the GitHub repository cooooooosdas/Anylogic (2 stars, last pushed 1mo ago), licensed MIT. It adds 568 tokens to every session, about $0.0028 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 2026-08-31.
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