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Agent Skill · 前端设计

bootstrap-python-service(bootstrap Python service 测试)

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。

bootstrap-python-service 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 7,649。

总安装 353周安装 15GitHub Stars 2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:bootstrap-python-service(bootstrap Python service 测试)
来源仓库:https://github.com/gaelic-ghost/python-skills
仓库路径:skills/bootstrap-python-service
安装命令:
npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-service
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/gaelic-ghost/python-skills --skill bootstrap-python-service

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

bootstrap-python-service 用于辅助 Python 项目开发、测试和依赖管理。适合阅读 Python 代码、定位测试问题、整理运行命令或分析数据处理逻辑。使用时需确认虚拟环境、依赖版本和测试入口。涉及脚本执行或文件读写时,应先明确运行目录和输入输出范围。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/bootstrap-python-service

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/gaelic-ghost/python-skills --skill bootstrap-p…;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

    它需要执行命令,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

bootstrap-python-service 怎么安装?

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

bootstrap-python-service 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。

bootstrap-python-service 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-service 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

bootstrap-python-service 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。

bootstrap-python-service 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 2 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。

bootstrap-python-service 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
bootstrap-python-service

bootstrap Python service 测试 · 本页

3532执行命令未明确通过

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

Bootstrap Python Service

Purpose

Create production-oriented FastAPI starter layouts using one direct shell entrypoint backed by the shared bootstrap-uv-python-workspace scaffolding scripts.

When To Use

  • Use this skill for new FastAPI service scaffolds.
  • Use this skill when the user wants either a single service project or a workspace with service members.
  • Hand off to bootstrap-uv-python-workspace only when the task is generic uv scaffolding without FastAPI-specific expectations.

Single-Path Workflow

  1. Collect the required inputs:

- name - mode - path - optional python, members, profile_map, force, initial_commit, no_git_init

  1. Run the canonical entrypoint: scripts/init_python_service.sh --name <name> --mode <project|workspace>
  2. Let the script delegate to the shared bootstrap-uv-python-workspace scaffolding layer.
  3. Accept the built-in validation path:

- uv run pytest - uv run ruff check. - uv run mypy.

  1. Confirm the generated project includes:

- a committed .env for safe defaults - an ignored .env.local for machine-local or secret overrides - typed configuration via pydantic-settings

  1. Return the generated path plus the exact next-step run and check commands emitted by the script.

Commands

# Project mode (default)
scripts/init_python_service.sh --name my-service

# Project mode with explicit options
scripts/init_python_service.sh --name my-service --mode project --python 3.13 --path /tmp/my-service

# Workspace mode with defaults (core-lib package + api-service service)
scripts/init_python_service.sh --name platform --mode workspace

# Workspace mode with explicit members and profile mapping
scripts/init_python_service.sh \
  --name platform \
  --mode workspace \
  --members "core-lib,billing-service,orders-service" \
  --profile-map "core-lib=package,billing-service=service,orders-service=service"

# Allow non-empty target directory
scripts/init_python_service.sh --name my-service --force

# Skip git initialization
scripts/init_python_service.sh --name my-service --no-git-init

# Create initial commit
scripts/init_python_service.sh --name my-service --initial-commit

Inputs

  • name: required
  • mode: project or workspace; defaults to project
  • path: optional target directory; defaults to ./<name>
  • python: optional Python version; defaults to 3.13
  • members: optional workspace member CSV for workspace mode
  • profile_map: optional workspace profile CSV for workspace mode
  • force: optional flag allowing non-empty target directories
  • initial_commit: optional flag creating an initial commit after a successful scaffold
  • no_git_init: optional flag disabling git initialization

Outputs

  • status

- success: scaffold and built-in validation completed - blocked: prerequisites or target-directory constraints prevented the run - failed: the script started but validation or generation failed

  • path_type

- primary: the canonical shell entrypoint completed

  • output

- resolved project or workspace path - emitted run commands - emitted validation commands

Defaults

  • mode: project
  • Python version: 3.13
  • quality tooling: pytest, ruff, mypy
  • config baseline: committed .env, ignored .env.local, and pydantic-settings
  • workspace default members: core-lib,api-service
  • workspace default profiles: first member package, remaining members service

Guardrails

  • Refuse non-empty target directories unless --force is set.
  • Require uv and git unless git initialization was explicitly disabled.
  • Fail when workspace-only options are used in project mode.
  • Fail when --initial-commit is combined with --no-git-init.

FastAPI Guidance

Use uv FastAPI integration style as primary guidance:

uv add fastapi --extra standard
uv add pydantic-settings python-dotenv
uv run fastapi dev app/main.py
# optional production-style local run
uv run fastapi run app/main.py

Generated FastAPI scaffolds should use pydantic-settings with .env plus .env.local, following the documented FastAPI settings pattern with cached settings loading.

Fallbacks and Handoffs

  • The preferred path is always scripts/init_python_service.sh.
  • Use bootstrap-uv-python-workspace directly only when FastAPI-specific behavior is not wanted.
  • Recommend bootstrap-python-mcp-service instead when the user wants a FastMCP server rather than an HTTP API service.
  • Recommend integrate-fastapi-fastmcp when the user wants an existing or planned FastAPI project to host, generate, or coexist with a FastMCP surface.

Automation Suitability

  • Codex App automation: Medium. Useful for recurring FastAPI scaffold smoke checks and regression checks.
  • Codex CLI automation: High. Strong fit for CI or scheduled scaffolder reliability checks.

Codex App Automation Prompt Template

Use $bootstrap-python-service.

Scope boundaries:
- Work only inside <REPO_PATH>.
- Create or validate scaffold output only in <TARGET_PATH>.
- Limit activity to scaffolding and verification; no unrelated refactors.

Task:
1. If <MODE:PROJECT|WORKSPACE> is PROJECT, run:
   `scripts/init_python_service.sh --name <SERVICE_NAME> --mode project --path <TARGET_PATH> --python <PYTHON_VERSION> <FORCE_FLAG> <GIT_INIT_MODE>`
2. If <MODE:PROJECT|WORKSPACE> is WORKSPACE, run:
   `scripts/init_python_service.sh --name <SERVICE_NAME> --mode workspace --path <TARGET_PATH> --python <PYTHON_VERSION> --members "<MEMBERS_CSV>" --profile-map "<PROFILE_MAP>" <FORCE_FLAG> <GIT_INIT_MODE>`
3. Validate generated checks:
   - `uv run pytest`
   - `uv run ruff check .`
   - `uv run mypy .`
4. If mode is PROJECT, also validate generated run commands:
   - `uv run fastapi dev app/main.py`
   - `uv run fastapi run app/main.py`

Output contract:
1. STATUS: PASS or FAIL
2. GENERATED_PATH: final output path
3. COMMANDS: exact commands executed
4. RESULTS: concise check outputs
5. If FAIL: short root-cause summary and minimal remediation steps

Codex CLI Automation Prompt Template

codex exec --full-auto --sandbox workspace-write --cd "<REPO_PATH>" "<PROMPT_BODY>"

Optional machine-readable variant:

codex exec --json --full-auto --sandbox workspace-write --cd "<REPO_PATH>" "<PROMPT_BODY>"

<PROMPT_BODY> template:

Use $bootstrap-python-service.
Scope is scaffolding plus verification only in <TARGET_PATH> under <REPO_PATH>.
Run the scaffold command for <MODE:PROJECT|WORKSPACE>, then run pytest, ruff, and mypy.
If project mode, confirm FastAPI dev/run commands are valid.
Return STATUS, generated path, exact command transcript, and minimal remediation on failure.

Customization Placeholders

  • <REPO_PATH>
  • <SERVICE_NAME>
  • <MODE:PROJECT|WORKSPACE>
  • <TARGET_PATH>
  • <PYTHON_VERSION>
  • <MEMBERS_CSV>
  • <PROFILE_MAP>
  • <FORCE_FLAG>
  • <GIT_INIT_MODE>

Interactive Customization Workflow

  1. Ask for mode, name, path, Python version, and git/force flags.
  2. If workspace mode, also ask for members and profile map.
  3. Return both:
  • A YAML profile for durable reuse.
  • The exact scaffold command to run.
  1. Use this precedence order:
  • CLI flags
  • --config profile file
  • .codex/profiles/bootstrap-python-service/customization.yaml
  • ~/.config/gaelic-ghost/python-skills/bootstrap-python-service/customization.yaml
  • Script defaults
  1. If users want temporary reset behavior:
  • --bypassing-all-profiles
  • --bypassing-repo-profile
  • --deleting-repo-profile
  1. If users provide no customization or profile files, keep existing script defaults unchanged.
  2. See references/interactive-customization.md for schema and examples.

References

  • references/conventions.md
  • references/customization.md
  • references/interactive-customization.md

Script Inventory

  • scripts/init_python_service.sh
  • Delegates to the shared workspace bootstrap scripts shipped by bootstrap-uv-python-workspace.

Assets

  • assets/README.md.tmpl

平台分布

Codex

34.22%
按下载量换算42

Claude

31.86%
按下载量换算40

Cursor

20.72%
按下载量换算26

Gemini CLI

9.37%
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

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-service 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。

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