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Agent Skill · 前端设计

bootstrap-python-mcp-service(bootstrap Python MCP 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-mcp-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 7,174。

总安装 412周安装 17GitHub Stars 2下载 135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-mcp-service(bootstrap Python MCP service 测试)
来源仓库:https://github.com/gaelic-ghost/python-skills
仓库路径:skills/bootstrap-python-mcp-service
安装命令:
npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-mcp-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-mcp-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-mcp-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-mcp-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-mcp-service 怎么安装?

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

bootstrap-python-mcp-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-mcp-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-mcp-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-mcp-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-mcp-service 用的人多吗?

公开数据是累计安装 412 次,近一周安装 17 次,下载 135 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-mcp-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-mcp-service

bootstrap Python MCP service 测试 · 本页

4122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 MCP Service

Purpose

Create FastMCP starter layouts using one direct shell entrypoint backed by the shared bootstrap-uv-python-workspace scaffolding scripts plus deterministic MCP overlay logic.

When To Use

  • Use this skill for new FastMCP server scaffolds.
  • Use this skill when the user wants OpenAPI or FastAPI-to-MCP mapping guidance alongside bootstrap.
  • Recommend bootstrap-python-service when the user wants a FastAPI service but not an MCP server.

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_fastmcp_service.sh --name <name> --mode <project|workspace>
  2. Let the script delegate to the shared bootstrap-uv-python-workspace scaffolding layer, then apply the FastMCP overlay.
  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. If the task starts from an existing API, optionally generate a mapping report with uv run scripts/assess_api_for_mcp.py....
  2. Return the generated path plus the exact next-step commands emitted by the script.

Commands

# Project mode (default)
scripts/init_fastmcp_service.sh --name my-mcp-server

# Project mode with explicit options
scripts/init_fastmcp_service.sh --name my-mcp-server --mode project --python 3.13 --path /tmp/my-mcp-server

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

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

# Allow non-empty target directory
scripts/init_fastmcp_service.sh --name my-mcp-server --force

# Skip git initialization
scripts/init_fastmcp_service.sh --name my-mcp-server --no-git-init

# Create initial commit
scripts/init_fastmcp_service.sh --name my-mcp-server --initial-commit

# Generate MCP mapping guidance from OpenAPI
uv run scripts/assess_api_for_mcp.py --openapi ./openapi.yaml --out ./mcp_mapping_report.md

# Generate MCP mapping guidance from existing FastAPI app
uv run scripts/assess_api_for_mcp.py --fastapi app.main:app --out ./mcp_mapping_report.md

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 - optional mapping-report path

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

Base UV/FastAPI Guidance

The shared scaffold basis follows uv FastAPI integration style:

uv add fastapi --extra standard
uv add pydantic-settings python-dotenv
uv run fastapi dev app/main.py

This skill then overlays FastMCP dependencies and server files for MCP service members. Generated FastMCP scaffolds should keep safe defaults in .env, local or secret overrides in .env.local, and typed runtime configuration in app/config.py.

API Import Guidance

When starting from OpenAPI or FastAPI, bootstrap first, then map endpoints to MCP primitives:

  1. Generate mapping report with scripts/assess_api_for_mcp.py.
  2. Classify endpoints into Resources, Tools, and Prompts.
  3. Recommend RouteMaps/Transforms only when they improve usability.
  4. Keep bootstrap deterministic; defer heavy custom mapping unless requested.

FastMCP Docs Lookup

Use the fastmcp_docs MCP server for up-to-date framework details.

Suggested queries:

  • FastMCP quickstart server example
  • FastMCP tools resources prompts best practices
  • FastMCP RouteMap Transform
  • FastMCP from OpenAPI
  • FastMCP from FastAPI

Guardrails

  • Refuse non-empty target directories unless --force is set.
  • Require at least one service profile member in workspace mode.
  • 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.

Fallbacks and Handoffs

  • The preferred path is always scripts/init_fastmcp_service.sh.
  • Use bootstrap-python-service when the user wants FastAPI-only output.
  • Use bootstrap-uv-python-workspace directly only when FastMCP-specific behavior is not wanted.
  • Recommend integrate-fastapi-fastmcp when the user needs to fold this FastMCP output into an existing FastAPI app, mount an MCP server into FastAPI, or promote generated FastAPI-derived MCP output into a curated combined architecture.

Automation Suitability

  • Codex App automation: Medium. Useful for recurring FastMCP scaffold checks and mapping-assessment checks.
  • Codex CLI automation: High. Strong fit for CI-style scaffold validation.

Codex App Automation Prompt Template

Use $bootstrap-python-mcp-service.

Scope boundaries:
- Work only inside <REPO_PATH>.
- Create or validate scaffold output only in <TARGET_PATH>.
- Restrict work to scaffold generation, optional mapping report generation, and verification.

Task:
1. If <MODE:PROJECT|WORKSPACE> is PROJECT, run:
   `scripts/init_fastmcp_service.sh --name <MCP_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_fastmcp_service.sh --name <MCP_SERVICE_NAME> --mode workspace --path <TARGET_PATH> --python <PYTHON_VERSION> --members "<MEMBERS_CSV>" --profile-map "<PROFILE_MAP>" <FORCE_FLAG> <GIT_INIT_MODE>`
3. If <GENERATE_MAPPING_REPORT:TRUE|FALSE> is TRUE:
   - If <MAPPING_INPUT_MODE:NONE|OPENAPI|FASTAPI_IMPORT> is OPENAPI, run:
     `uv run scripts/assess_api_for_mcp.py --openapi <MAPPING_INPUT_PATH> --out <TARGET_PATH>/mcp_mapping_report.md`
   - If <MAPPING_INPUT_MODE:NONE|OPENAPI|FASTAPI_IMPORT> is FASTAPI_IMPORT, run:
     `uv run scripts/assess_api_for_mcp.py --fastapi <MAPPING_INPUT_PATH> --out <TARGET_PATH>/mcp_mapping_report.md`
4. Run verification checks in <TARGET_PATH>:
   - `uv run pytest`
   - `uv run ruff check .`
   - `uv run mypy .`

Output contract:
1. STATUS: PASS or FAIL
2. COMMANDS: exact commands executed
3. RESULTS: concise outcomes for scaffold and checks
4. If report generated: include report path
5. If FAIL: provide likely root cause and minimal remediation

Codex CLI Automation Prompt Template

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

<PROMPT_BODY> template:

Use $bootstrap-python-mcp-service.
Scope is limited to scaffold generation in <TARGET_PATH>, optional mapping report generation, and verification checks.
Run only commands needed for this flow, then return STATUS, exact command transcript, concise results, and minimal remediation if failures occur.

Customization Placeholders

  • <REPO_PATH>
  • <MCP_SERVICE_NAME>
  • <MODE:PROJECT|WORKSPACE>
  • <TARGET_PATH>
  • <PYTHON_VERSION>
  • <MEMBERS_CSV>
  • <PROFILE_MAP>
  • <FORCE_FLAG>
  • <GIT_INIT_MODE>
  • <MAPPING_INPUT_MODE:NONE|OPENAPI|FASTAPI_IMPORT>
  • <MAPPING_INPUT_PATH>
  • <GENERATE_MAPPING_REPORT:TRUE|FALSE>

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-mcp-service/customization.yaml
  • ~/.config/gaelic-ghost/python-skills/bootstrap-python-mcp-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/mcp-mapping-guidelines.md
  • references/fastmcp-docs-lookup.md
  • references/customization.md
  • references/interactive-customization.md

Script Inventory

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

Assets

  • assets/README.md.tmpl

平台分布

Codex

35.25%
按下载量换算48

Claude

28.51%
按下载量换算38

Cursor

18.6%
按下载量换算25

Gemini CLI

9.34%
按下载量换算13

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-mcp-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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