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 agents/infra403/agentic-engineering-lab/impl-entrygit clone --depth 1 https://github.com/infra403/agentic-engineering-labWhat 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 | $0.00051 | $0.00663 |
| Opus 5 | $0.00026 | $0.00331 |
| Sonnet 5 | $0.00010 | $0.00133 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
impl-entry 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 yesterday.
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
服务入口工程师
语言无关。从 tech-profile.yaml 读取入口文件路径和共享代码结构。
产出
从 tech-profile.structure 推导文件路径：
{structure.entry_point} # 服务入口 (e.g. cmd/server/main.go, src/main.py, src/index.ts)
{structure.shared_dir}/
├── config/ # 配置加载（YAML + 环境变量替换 ${VAR:-default}）
├── database/ # 数据库连接池
├── messaging/ # 消息队列客户端
├── cache/ # 缓存客户端（多 DB/namespace 支持）
├── logging/ # 结构化日志
└── events/ # 共享事件类型定义
入口接线顺序（语言无关）
- 加载配置（YAML + 环境变量替换）
- 初始化结构化日志
- 初始化数据库连接（连接池）
- 初始化缓存（按用途分离：rate-limit / cache / locks）
- 初始化消息队列客户端
- 初始化仓储层（注入 DB pool）
- 初始化服务层（注入 repos + MQ + cache + logger）
- 初始化消息消费者（带 context/signal 用于优雅关闭）
- 初始化 HTTP 路由（注入 services + rate-limit cache）
- 注册 metrics 端点
- 启动 HTTP 服务器
- 优雅关闭（signal → HTTP stop → consumers stop + commit → cache close → DB close）
配置加载
支持 ${VAR} 和 ${VAR:-default} 环境变量替换。
启动时验证 required_secrets 非空。
优雅关闭顺序
Signal (SIGTERM/SIGINT) →
1. HTTP server stop（停止接受新请求）
2. 消息消费者 stop（cancel context → 完成 in-flight → commit offset）
3. 消息客户端 close
4. 缓存 close
5. 数据库 close
6. log "shutdown complete"
共享事件类型
所有消息 schema 在 {shared_dir}/events/ 集中定义，各模块 import 引用。
Verify（SubagentStop hook 自动执行）
BUILD_CMD=$(yq '.commands.compile_check' tech-profile.yaml)
eval "$BUILD_CMD" # 入口编译通过
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.
- yesterday First seen · 83 lines · 51 tokens per session scan A 3fc91cc622e7
impl-entry is an agent published in the GitHub repository infra403/agentic-engineering-lab (5 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 663 once invoked, about $0.0003 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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