Token导航 LogoToken导航

Agent Skill · 开发

litestar-dependency-injection(litestar 依赖注入)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

litestar-dependency-injection 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 18,175。

总安装 353周安装 15GitHub Stars 5下载 124核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:litestar-dependency-injection(litestar 依赖注入)
来源仓库:https://github.com/alti3/litestar-skills
仓库路径:skills/litestar-dependency-injection
安装命令:
npx skills add https://github.com/alti3/litestar-skills --skill litestar-dependency-injection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/alti3/litestar-skills --skill litestar-dependency-injection

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于辅助测试设计、自动化测试、用例整理和回归验证。适合编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需确认项目测试框架、运行命令和夹具数据,避免误改真实逻辑。涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。安装方式:通过 GitHub 仓库添加,需确认权限与操作边界。

来源仓库内路径:skills/litestar-dependency-injection

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alti3/litestar-skills --skill litestar-depende…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

litestar-dependency-injection 怎么安装?

在终端执行 npx skills add https://github.com/alti3/litestar-skills --skill litestar-dependency-inject…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

litestar-dependency-injection 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

litestar-dependency-injection 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

litestar-dependency-injection 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

litestar-dependency-injection 用的人多吗?

公开数据是累计安装 353 次,近一周安装 15 次,下载 124 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

litestar-dependency-injection 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
litestar-dependency-injection

litestar 依赖注入 · 本页

3535需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Dependency Injection

Execution Workflow

  1. Choose the contract to inject first: settings object, service, repository, session, current user, or request-derived value.
  2. Pick the narrowest scope that should own it: app, router, controller, or handler.
  3. Implement the provider as a callable wrapped in Provide, choosing async, sync, or generator form based on lifecycle needs.
  4. Keep the dependency key identical to the injected parameter name.
  5. Use overrides intentionally at lower scopes and in tests.
  6. Mark special cases with Dependency(...) when validation, defaults, or OpenAPI behavior need to be explicit.
  7. Verify cleanup behavior for generator dependencies and startup-time failure for missing explicit dependencies.

Core Rules

  • Register dependencies at the narrowest scope that matches their reuse boundary.
  • Keep dependency keys stable and descriptive: settings, db_session, current_user, tenant, clock.
  • Keep injected annotations runtime-importable. Avoid hiding injected types behind TYPE_CHECKING unless you also provide a working runtime signature namespace.
  • Accept keyword arguments and self in providers, never positional-only runtime arguments.
  • Match the provider key and the consumer parameter name exactly.
  • Prefer injecting services and repositories instead of raw transport objects unless the dependency is explicitly request-derived.
  • Avoid hidden mutable singletons. If state must be shared, make lifecycle and mutability obvious.

Scope Selection

Litestar resolves dependencies from outer to inner scope, with lower scopes overriding higher ones when the same key is reused.

  • App scope: global settings, shared clients, top-level service factories.
  • Router scope: feature-area dependencies shared across related routes.
  • Controller scope: controller-local services or authorization context.
  • Handler scope: per-endpoint customization and local overrides.

Choose the lowest scope that still matches the reuse boundary. Reusing the same key is an intentional override contract, not a naming accident.

Provider Selection

  • Use async providers for I/O-bound work that is naturally asynchronous.
  • Use sync providers only when the work is truly synchronous.
  • Set sync_to_thread=True for blocking I/O or CPU-heavy sync providers.
  • Set sync_to_thread=False for cheap, non-blocking sync providers to document intent and avoid warnings.
  • Use generator providers when setup and cleanup belong to the same logical resource.
  • Use callable instances when constructor-time configuration is required but invocation should still be DI-managed.

Reference Files

Read only the sections you need:

  • For scope examples, provider forms, request-derived values, yield cleanup, overrides, caching, nested dependency graphs, and service wiring patterns, read references/provider-patterns.md.
  • For Annotated[..., Dependency(...)] usage, validation control, OpenAPI-safe defaults, and fail-fast explicit dependency markers, read references/dependency-markers.md.

Recommended Defaults

  • Keep validation enabled unless the provider is trusted and the performance or type-system tradeoff is justified.
  • Keep dependency graphs shallow enough to reason about quickly.
  • Compose stable layers: settings -> client/session -> repository -> service.
  • Use request-derived providers as translation boundaries from transport inputs to domain types.
  • Reuse the same dependency keys in tests to swap in fakes without touching handler code.

Anti-Patterns

  • Registering everything at app scope because it is convenient.
  • Using dependencies as an opaque service locator with unclear names like dep1.
  • Returning mutable global singletons from providers and mutating them per request.
  • Performing blocking I/O in sync providers without sync_to_thread=True.
  • Using skip_validation=True broadly instead of fixing the type boundary.
  • Repeating lookup logic in handlers when a request-derived provider should own it.

Validation Checklist

  • Confirm every injected parameter name matches a registered dependency key.
  • Confirm the chosen scope matches reuse and override needs.
  • Confirm sync providers declare the right sync_to_thread behavior.
  • Confirm generator dependencies always close, even on exceptions.
  • Confirm nested provider graphs stay readable and testable.
  • Confirm Dependency(default=...) is used when fallback dependencies must stay out of OpenAPI.
  • Confirm explicit Dependency() markers catch missing required wiring at startup.
  • Confirm tests can override keys cleanly without monkeypatching internals.

Cross-Skill Handoffs

  • Use litestar-databases for SQLAlchemy or Piccolo session provisioning.
  • Use litestar-testing for dependency override patterns and client-based verification.
  • Use litestar-security or litestar-authentication when DI is carrying auth context.
  • Use litestar-routing when the main issue is route/controller structure rather than service wiring.

Litestar References

平台分布

Codex

34.33%
按下载量换算43

Claude

29.63%
按下载量换算37

Cursor

19.61%
按下载量换算24

Gemini CLI

9.74%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills