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Agent Skill · 开发

bootstrap(Bootstrap 初始化)

bootstrap 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

bootstrap 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;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 11,005。

总安装 1,979周安装 85GitHub Stars 2下载 694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(Bootstrap 初始化)
来源仓库:https://github.com/jwilger/agent-skills
仓库路径:skills/bootstrap
安装命令:
npx skills add https://github.com/jwilger/agent-skills --skill bootstrap
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/jwilger/agent-skills --skill bootstrap

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。

bootstrap 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库和原始 README 继续核验具体用法。

安装命令:npx skills add https://github.com/jwilger/agent-skills --skill bootstrap 安装前建议确认权限范围、维护状态及是否会触发联网或命令执行。

来源仓库内路径:skills/bootstrap

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/jwilger/agent-skills --skill bootstrap;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

bootstrap 怎么安装?

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

bootstrap 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 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

bootstrap 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 用的人多吗?

公开数据是累计安装 1,979 次,近一周安装 85 次,下载 694 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 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
bootstrap

Bootstrap 初始化 · 本页

1,9792只读未明确通过

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

Value: Communication -- establish shared understanding of environment, capabilities, and workflow before any work begins.

Purpose

Single entry point for configuring the SDLC workflow on any harness. Detects the project environment and harness capabilities, configures TDD mode (guided or automated), generates harness-appropriate instruction files, and recommends skills. Never silently installs or modifies anything.

Practices

Step 1: Detect the Environment

Gather project context silently before asking questions:

!test -f package.json && echo "js" || true
!test -f Cargo.toml && echo "rust" || true
!test -f pyproject.toml && echo "python" || true
!test -f go.mod && echo "go" || true
!test -f mix.exs && echo "elixir" || true
!git rev-parse --is-inside-work-tree 2>/dev/null && echo "git" || true
!ls skills/*/SKILL.md 2>/dev/null | sed 's|skills/||;s|/SKILL.md||' || true

Record: languages detected, git available, skills already installed. If no language files are found, note "none" and ask the user in Step 5.

Step 2: Detect Harness Capabilities

Probe for delegation primitives (see references/capability-detection.md): check for Agent tool and skill chaining (always available).

Step 3: Detect Harness Type

Identify the harness to generate the correct instruction files:

SignalHarness
CLAUDE.md convention, Claude Code toolsClaude Code
AGENTS.md convention, Codex toolsCodex
.cursor/rules directoryCursor / Windsurf
None of the aboveGeneric (AGENTS.md only)

Step 4: Configure TDD Mode

Match the strategy to detected capabilities:

Capabilities detectedStrategyDefault mode
Agent toolSubagentsAutomated
NeitherChainingAutomated

Chaining is always available and runs all TDD phases sequentially in a single context. Guided mode (/tdd red, /tdd green, etc.) is always available as a user-controlled alternative. Let the user override.

If Claude Code is detected and the user wants maximum enforcement, offer to install optional hook templates from skills/tdd/references/hooks/.

Step 4b: Detect Factory Mode

Check if the pipeline skill is installed (skills/pipeline/SKILL.md exists). If detected, factory pipeline mode is available and Step 5 includes an additional question.

Step 5: Ask the User

Question 1: What are you trying to do?

  • "Start a new project" -- recommend Understand + Decide + Build phases
  • "Add a feature or fix a bug" -- recommend Build + Ship phases
  • "Set up team workflow" -- recommend all phases plus ensemble team

Question 2: How much process structure?

  • "Minimal" -- recommend tdd, domain-modeling
  • "Standard" -- recommend core + ship skills
  • "Full" -- recommend all skills (include factory pipeline skills when pipeline is detected)

Question 3 (only when pipeline detected): What autonomy level? Conservative / Standard / Full. Generate .factory/config.yaml with the chosen level. See references/skill-recommendations.md for skill lists.

Step 6: Task Tracking Convention

Include in generated instruction files that agents should use task lists (TaskCreate, TaskList, or equivalent harness tools) to track work — even for tasks that seem simple. Simple tasks often reveal subtasks, and a visible task list keeps progress transparent and prevents steps from being forgotten.

This convention goes into the AGENTS.md "Conventions" section (see references/agents-md.md). If the task-management skill is installed, reference it; otherwise, include the basic convention directly.

Step 7: Collect Per-Skill AGENTS.md Contributions

Some installed skills ship a references/agents-md-setup.md file that specifies content to add to AGENTS.md. Scan all installed skills for this file:

!for skill in skills/*/; do
  test -f "${skill}references/agents-md-setup.md" && echo "${skill}"
done

For each skill that has one, read its agents-md-setup.md and incorporate the specified content into AGENTS.md using managed markers for that skill (<!-- BEGIN MANAGED: skill-name -->). The setup file documents what section to add or append to and provides the content template.

Size budget: AGENTS.md must stay under 32 KiB total. Per-skill contributions should be concise — a few bullet points or a short section. If the combined contributions would exceed the budget, summarize and point to the skill for details rather than including full content.

Step 8: Generate Instruction Files

Generate harness-appropriate files. For Claude Code, CLAUDE.md uses @AGENTS.md references instead of symlinks or content embedding to keep a single source of truth and avoid duplication. See references/agents-md.md for AGENTS.md best practices (small routing document, progressive disclosure, managed markers) and references/harness-files.md for harness-specific generation rules.

Step 9: Optional Ensemble Team

If the user selected "Set up team workflow" or "Full", offer the ensemble-team skill with its three presets (solo-plus, lean, full).

Step 10: Commit and Display

Stage generated files, commit with a descriptive message, and display:

  • What was configured (harness, TDD mode, skills recommended)
  • Next steps (/tdd to start a TDD cycle, or phase-specific commands)
  • If ensemble team was configured, note the preset and member count

Enforcement Note

Advisory in all modes. Bootstrap detects and recommends; it never silently modifies. No skill or setting is installed without explicit user confirmation [H].

Constraints

  • "Never silently installs" [H]: "Override" means the user explicitly says "yes, install X" — not inferred permission from context.
  • AGENTS.md 32 KiB budget: Hard cap, not target. Summarize to fit.

Verification

  • Environment was detected before asking questions
  • Harness capabilities were probed (not assumed)
  • No more than 2-3 questions were asked
  • TDD strategy matched detected capabilities (see Step 4 table)
  • Generated files use managed markers for safe re-runs
  • Task tracking convention is included in generated AGENTS.md
  • Per-skill AGENTS.md contributions were collected and included
  • Nothing was installed without user confirmation

Dependencies

This skill works standalone. It recommends but does not require other skills. It generates configuration that references the tdd skill for TDD workflow.

平台分布

Codex

33.89%
按下载量换算235

Claude

31.37%
按下载量换算218

Cursor

17.66%
按下载量换算123

Gemini CLI

9.2%
按下载量换算64

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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