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/94fzb/zrlog/agents-mdgit clone --depth 1 https://github.com/94fzb/zrlogWrote 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/94fzb/zrlog/agents-md)<a href="https://agentmods.dev/instructions/94fzb/zrlog/agents-md"><img src="https://agentmods.dev/badge/instructions/94fzb/zrlog/agents-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 | $0.01040 | $0.01040 |
| Opus 5 | $0.00520 | $0.00520 |
| Sonnet 5 | $0.00208 | $0.00208 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
zrlog AGENTS.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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
这份文档是 AI Agent 在 zrlog 主工程内工作的入口规则。进入本仓库后，先读本文件，再按任务打开 doc/、pom.xml、zrlog-web/ 或 package/ 下的具体实现。
工程定位
zrlog 是 ZrLog 的主集成和打包工程，主要负责：
- 组装
zrlog-base、zrlog-admin-web、zrlog-blog-web、zrlog-install-web等独立产物。 - 提供最终应用的启动入口、运行配置和模块加载。
- 产出 Zip、WAR、Docker、Native Image、Serverless 等发布形态所需的工程结构。
- 管理主工程文档、构建脚本、release/update manifest 和包内资源。
不要把后台、前台、安装或基础库的业务实现长期放在本仓库。功能逻辑应回到对应子工程修改，再由 zrlog 更新依赖版本并做集成验证。
目录职责
| 路径 | 职责 |
|---|---|
zrlog-web/ |
主 Web 应用模块，负责应用启动、模块加载、运行配置和集成测试。 |
package/ |
发布包组装模块，维护最终分发包结构和依赖拷贝规则。 |
bin/ |
构建信息、构建元数据和发布辅助脚本。 |
shell/ |
本地 Maven/版本脚本和运维辅助脚本。 |
conf/ |
本地运行配置样例或调试配置，修改前确认不是用户本地状态。 |
doc/ |
主工程开发、构建、安装、测试和发布文档。 |
必读文档
涉及跨仓库开发、验收或发布时，以 zrlog-ops 中的任务契约、验收 YAML 和发布规则为总入口。
构建与验证
常用命令：
mvn -q -DskipTests compile
mvn -q -pl zrlog-web -am test
mvn -q -DskipTests package
修改 zrlog-web 行为时至少运行 mvn -q -pl zrlog-web -am test。修改打包、依赖范围、release 脚本或启动 classpath 时，需要检查真实产物结构，不能只依赖 Maven 编译通过。
边界规则
zrlog只做集成和打包，不拥有 admin/blog/install/base 的业务模型。- 修改内部依赖版本前，先确认对应子工程已经构建或发布了目标版本。
- 正式 release ref 不能依赖
SNAPSHOT；开发和预览集成可以使用本地或远端 snapshot。 - 变更模块 classpath、依赖 scope、package 配置或启动参数时，要验证最终包内
lib/、manifest、启动日志和模块发现结果。 - 不提交本地
conf/db.properties、conf/install.lock或临时测试包。 - 不为了主工程验证绕过 install 流程，预览包安装必须走真实安装接口。
AI 修改流程
- 先判断任务属于主工程集成、发布打包、启动加载，还是应该回到子工程实现。
- 读取当前
pom.xml、脚本和真实产物规则，不凭旧版本记忆修改依赖或包结构。 - 保留工作区已有用户改动，不 reset、restore 或覆盖无关文件。
- 修改跨仓库依赖时记录生产者、消费者和验证命令。
- 修改发布或打包逻辑时检查生成物，并清理
target、临时 zip、解压目录等产物。 - 最终回复说明改动边界、验证命令和未处理风险。
常见任务入口
| 任务 | 起点 |
|---|---|
| 调整启动或模块加载 | zrlog-web/src/main/java |
| 调整最终包结构 | package/pom.xml 和 package/src |
| 更新内部模块版本 | 根 pom.xml 的依赖和 dependencyManagement |
| 修改构建元数据 | bin/、shell/、doc/build_system_info.md |
| 安装体验集成验证 | zrlog-ops/acceptance/zrlog-preview-package-install.yaml |
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.
- 3d ago First seen · 76 lines · 1,040 tokens per session scan A a88834011342
zrlog AGENTS.md is an instructions file published in the GitHub repository 94fzb/zrlog (402 stars, last pushed 10d ago), licensed Apache-2.0. It adds 1,040 tokens to every session, about $0.0052 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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