Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问clear审计通过

fastapi-code-reviewFastAPI 代码审查

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

5,568

周安装

232

GitHub Stars

55

下载量

1,856
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:fastapi-code-review(FastAPI 代码审查)
来源仓库:https://github.com/existential-birds/beagle
仓库路径:skills/fastapi-code-review
安装命令:
npx skills add https://github.com/existential-birds/beagle --skill fastapi-code-review
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/existential-birds/beagle --skill fastapi-code-review

简介

用于辅助 Python 项目开发、测试与依赖管理,提供代码审查清单。

  • 覆盖 APIRouter 设置、响应模型、状态码与异步处理规范。
  • 包含依赖注入、异常处理与背景任务的最佳实践参考。
  • 使用时需确认虚拟环境与依赖版本,避免误改生产数据。
  • fastapi-code-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

FastAPI Code Review

Quick Reference

Issue TypeReference
APIRouter setup, response_model, status codesreferences/routes.md
Depends(), yield deps, cleanup, shared depsreferences/dependencies.md
Pydantic models, HTTPException, 422 handlingreferences/validation.md
Async handlers, blocking I/O, background tasksreferences/async.md

Review Checklist

  • APIRouter with proper prefix and tags
  • All routes specify response_model for type safety
  • Correct HTTP methods (GET, POST, PUT, DELETE, PATCH)
  • Proper status codes (200, 201, 204, 404, etc.)
  • Dependencies use Depends() not manual calls
  • Yield dependencies have proper cleanup
  • Request/Response models use Pydantic
  • HTTPException with status code and detail
  • All route handlers are async def
  • No blocking I/O (requests, time.sleep, open())
  • Background tasks for non-blocking operations
  • No bare except in route handlers

Valid Patterns (Do NOT Flag)

These are idiomatic FastAPI patterns that may appear problematic but are correct:

  • Pydantic validates request body automatically - No manual validation needed when using typed Pydantic models as parameters
  • Dependency injection for database sessions - Sessions come from Depends(), not passed as function arguments
  • HTTPException for all HTTP errors - FastAPI handles conversion to proper HTTP responses
  • Async def endpoint without await - May be using sync dependencies or simple operations; FastAPI handles this
  • Type annotation on Depends() - This is documentation/IDE support, not a type assertion
  • Query/Path/Body defaults - FastAPI processes these at runtime, not traditional Python defaults
  • Returning dict from endpoint - Pydantic converts automatically if response_model is set

Context-Sensitive Rules

Only flag issues when the context warrants it:

  • Flag missing validation ONLY IF the field isn't already in a Pydantic model with validators
  • Flag missing auth ONLY IF the endpoint isn't using Depends() with an auth dependency
  • Flag missing error handling ONLY IF HTTPException isn't raised appropriately for error cases
  • Flag sync in async ONLY IF the operation is actually blocking (file I/O, network calls, CPU-bound), not just non-async

FastAPI Framework Behaviors

FastAPI + Pydantic handle many concerns automatically:

  • Request validation via Pydantic models
  • Response serialization via response_model
  • Dependency injection for cross-cutting concerns
  • Exception handling via exception handlers

Before flagging "missing" functionality, verify FastAPI isn't handling it.

When to Load References

  • Reviewing route definitions → routes.md
  • Reviewing dependency injection → dependencies.md
  • Reviewing Pydantic models/validation → validation.md
  • Reviewing async route handlers → async.md

Review Questions

  1. Do all routes have explicit response models and status codes?
  2. Are dependencies injected via Depends() with proper cleanup?
  3. Do all Pydantic models validate inputs correctly?
  4. Are all route handlers async and non-blocking?

Before Submitting Findings

Load and follow review-verification-protocol before reporting any issue.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26%
按下载量换算483

Antigravity

22.47%
按下载量换算417

OpenCode

18.36%
按下载量换算341

Cursor

11.37%
按下载量换算211

Gemini CLI

7.88%
按下载量换算146

Codex

3.05%
按下载量换算57

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。

来源信息

继续浏览同类 Skills