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Agent Skill · 图像处理

beaver-xhs-images(beaver xhs 图片)

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

beaver-xhs-images 是图像处理类 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,按安装量在图像处理类的 1,562 个 Skill 里排第 1,545。

总安装 188周安装 8GitHub Stars 公开资料未说明下载 66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:beaver-xhs-images(beaver xhs 图片)
来源仓库:https://github.com/beaverslab/beaver-skill
仓库路径:skills/beaver-xhs-images
安装命令:
npx skills add https://github.com/beaverslab/beaver-skill --skill beaver-xhs-images
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/beaverslab/beaver-skill --skill beaver-xhs-images

这个 Skill 是做什么的

图像处理类 Skill 处理生成、裁剪、压缩和批量转换图片的任务。

专为小红书设计的图文信息图系列生成工具,支持多种风格与版式组合。适用于复杂内容的可视化拆解,帮助用户快速生成吸引眼球的排版方案。支持从 Markdown 文件自动提取内容或直接输入文本,灵活适配不同创作需求。输出结果可用于小红书平台发布,建议根据实际传播效果调整风格与密度参数。

beaver-xhs-images 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/beaver-xhs-images

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/beaverslab/beaver-skill --skill beaver-xhs-ima…;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

beaver-xhs-images 怎么安装?

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

beaver-xhs-images 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。

beaver-xhs-images 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。

beaver-xhs-images 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。

beaver-xhs-images 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次。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。

beaver-xhs-images 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。
  • 需要处理图像处理类任务、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。

图像处理类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
ai-image-generation

AI 图像生成 · Codex、Claude

4,365,552382调用外部服务未明确有提醒
openai-image-gen

OpenAI 图像生成 · OpenClaw

1,906,88432需要联网MIT-0有提醒
image

图像 · OpenClaw

525,99926需要联网MIT-0通过
baoyu-cover-image

宝玉封面图 · Codex、Claude

474,24016,779只读MIT有提醒
baoyu-image-gen

宝玉图像生成器 · Codex、Claude

468,00716,778接触敏感数据MIT通过
beaver-xhs-images

beaver xhs 图片 · 本页

188—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

Xiaohongshu Infographic Series Generator

Break down complex content into eye-catching infographic series for Xiaohongshu with multiple style options.

Usage

# Auto-select style and layout based on content
/beaver-xhs-images posts/ai-future/article.md

# Specify style
/beaver-xhs-images posts/ai-future/article.md --style notion

# Specify layout
/beaver-xhs-images posts/ai-future/article.md --layout dense

# Combine style and layout
/beaver-xhs-images posts/ai-future/article.md --style notion --layout list

# Direct content input
/beaver-xhs-images
[paste content]

# Direct input with options
/beaver-xhs-images --style bold --layout comparison
[paste content]

Options

OptionDescription
--style <name>Visual style (see Style Gallery)
--layout <name>Information layout (see Layout Gallery)

Two Dimensions

DimensionControlsOptions
StyleVisual aesthetics: colors, lines, decorationscute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes
LayoutInformation structure: density, arrangementsparse, balanced, dense, list, comparison, flow, mindmap, quadrant

Style × Layout can be freely combined. Example: --style notion --layout dense creates an intellectual-looking knowledge card with high information density.

Style Gallery

StyleDescription
cute (Default)Sweet, adorable, girly - classic Xiaohongshu aesthetic
freshClean, refreshing, natural
warmCozy, friendly, approachable
boldHigh impact, attention-grabbing
minimalUltra-clean, sophisticated
retroVintage, nostalgic, trendy
popVibrant, energetic, eye-catching
notionMinimalist hand-drawn line art, intellectual
chalkboardColorful chalk on black board, educational
study-notesRealistic handwritten photo style, blue pen + red annotations + yellow highlighter

Detailed style definitions: references/presets/<style>.md

Layout Gallery

LayoutDescription
sparse (Default)Minimal information, maximum impact (1-2 points)
balancedStandard content layout (3-4 points)
denseHigh information density, knowledge card style (5-8 points)
listEnumeration and ranking format (4-7 items)
comparisonSide-by-side contrast layout
flowProcess and timeline layout (3-6 steps)
mindmapCenter radial mind map layout (4-8 branches)
quadrantFour-quadrant / circular section layout

Detailed layout definitions: references/elements/canvas.md

Auto Selection

Content SignalsStyleLayout
Beauty, fashion, cute, girl, pink / 美妆、护肤、可爱、少女、粉色cutesparse/balanced
Health, nature, clean, fresh, organic / 健康、自然、清爽、有机、养生freshbalanced/flow
Life, story, emotion, feeling, warm / 生活、故事、情感、温暖、治愈warmbalanced
Warning, important, must, critical / 避坑、必看、注意、重要、踩雷boldlist/comparison
Professional, business, elegant, simple / 职场、商务、极简、高级感minimalsparse/balanced
Classic, vintage, old, traditional / 复古、怀旧、经典、老派retrobalanced
Fun, exciting, wow, amazing / 好玩、惊喜、绝了、太强了popsparse/list
Knowledge, concept, productivity, SaaS / 知识、概念、效率、工具、干货notiondense/list
Education, tutorial, learning, teaching, classroom / 教程、教学、学习、课堂chalkboardbalanced/dense
Notes, handwritten, study guide, realistic, photo / 笔记、手写、学霸、学习笔记、考研study-notesdense/list/mindmap

Outline Strategies

Three differentiated outline strategies for different content goals:

Strategy A: Story-Driven (故事驱动型)

AspectDescription
ConceptPersonal experience as main thread, emotional resonance first
FeaturesStart from pain point, show before/after change, strong authenticity
Best forReviews, personal shares, transformation stories
StructureHook → Problem → Discovery → Experience → Conclusion

Strategy B: Information-Dense (信息密集型)

AspectDescription
ConceptValue-first, efficient information delivery
FeaturesClear structure, explicit points, professional credibility
Best forTutorials, comparisons, product reviews, checklists
StructureCore conclusion → Info card → Pros/Cons → Recommendation

Strategy C: Visual-First (视觉优先型)

AspectDescription
ConceptVisual impact as core, minimal text
FeaturesLarge images, atmospheric, instant appeal
Best forHigh-aesthetic products, lifestyle, mood-based content
StructureHero image → Detail shots → Lifestyle scene → CTA

File Structure

Each session creates an independent directory named by content slug:

xhs-images/{topic-slug}/
├── source-{slug}.{ext}             # Source files (text, images, etc.)
├── analysis.md                     # Deep analysis + questions asked
├── outline-strategy-a.md           # Strategy A: Story-driven
├── outline-strategy-b.md           # Strategy B: Information-dense
├── outline-strategy-c.md           # Strategy C: Visual-first
├── outline.md                      # Final selected/merged outline
├── prompts/
│   ├── 01-cover-[slug].md
│   ├── 02-content-[slug].md
│   └── ...
├── 01-cover-[slug].png
├── 02-content-[slug].png
└── NN-ending-[slug].png

Slug Generation:

  1. Extract main topic from content (2-4 words, kebab-case)
  2. Example: "AI工具推荐" → ai-tools-recommend

Conflict Resolution: If xhs-images/{topic-slug}/ already exists:

  • Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
  • Example: ai-tools exists → ai-tools-20260118-143052

Source Files: Copy all sources with naming source-{slug}.{ext}:

  • source-article.md, source-photo.jpg, etc.
  • Multiple sources supported: text, images, files from conversation

Workflow

Progress Checklist

Copy and track progress:

XHS Infographic Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
  - [ ] Found → load preferences → continue
  - [ ] Not found → run first-time setup → MUST complete before Step 1
- [ ] Step 1: Analyze content → analysis.md
- [ ] Step 2: Confirmation 1 - Content understanding ⚠️ REQUIRED
- [ ] Step 3: Generate 3 outline + style variants
- [ ] Step 4: Confirmation 2 - Outline & style & elements selection ⚠️ REQUIRED
- [ ] Step 5: Generate images (sequential)
- [ ] Step 6: Completion report

Flow

Input → [Step 0: Preferences] ─┬─ Found → Continue
                               │
                               └─ Not found → First-Time Setup ⛔ BLOCKING
                                              │
                                              └─ Complete setup → Save EXTEND.md → Continue
                                                                                      │
        ┌───────────────────────────────────────────────────────────────────────────┘
        ↓
Analyze → [Confirm 1] → 3 Outlines → [Confirm 2: Outline + Style + Elements] → Generate → Complete

Step 0: Load Preferences (EXTEND.md) ⛔ BLOCKING

Purpose: Load user preferences or run first-time setup.

CRITICAL: If EXTEND.md not found, MUST complete first-time setup before ANY other questions or steps. Do NOT proceed to content analysis, do NOT ask about style, do NOT ask about layout — ONLY complete the preferences setup first.

Use Bash to check EXTEND.md existence (priority order):

# Check project-level first
test -f .beaver-skill/beaver-xhs-images/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.beaver-skill/beaver-xhs-images/EXTEND.md" && echo "user"

┌────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├────────────────────────────────────────────────────┼───────────────────┤ │.beaver-skill/beaver-xhs-images/EXTEND.md │ Project directory │ ├────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.beaver-skill/beaver-xhs-images/EXTEND.md │ User home │ └────────────────────────────────────────────────────┴───────────────────┘

┌───────────┬─────────────────────────────────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, display summary → Continue to Step 1 │ ├───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Not found │ ⛔ BLOCKING: Run first-time setup ONLY (see below) → Complete and save EXTEND.md → Then Step 1 │ └───────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────┘

First-Time Setup (when EXTEND.md not found):

Language: Use user's input language or saved language preference.

Use AskUserQuestion with ALL questions in ONE call. See references/config/first-time-setup.md for question details.

EXTEND.md Supports: Watermark | Preferred style/layout | Custom style definitions | Language preference

Schema: references/config/preferences-schema.md

Step 1: Analyze Content → analysis.md

Read source content, save it if needed, and perform deep analysis.

Actions:

  1. Save source content (if not already a file):

- If user provides a file path: use as-is - If user pastes content: save to source.md in target directory - Backup rule: If source.md exists, rename to source-backup-YYYYMMDD-HHMMSS.md

  1. Read source content
  2. Deep analysis following references/workflows/analysis-framework.md:

- Content type classification (种草/干货/测评/教程/避坑...) - Hook analysis (爆款标题潜力) - Target audience identification - Engagement potential (收藏/分享/评论) - Visual opportunity mapping - Swipe flow design

  1. Detect source language
  2. Determine recommended image count (2-10)
  3. Generate clarifying questions (see Step 2)
  4. Save to analysis.md

Step 2: Confirmation 1 - Content Understanding ⚠️

Purpose: Validate understanding + collect missing info. Do NOT skip.

Display summary:

  • Content type + topic identified
  • Key points extracted
  • Tone detected
  • Source images count

Use AskUserQuestion for:

  1. Core selling point (multiSelect: true)
  2. Target audience
  3. Style preference: Authentic sharing / Professional review / Aesthetic mood / Auto
  4. Additional context (optional)

After response: Update analysis.md → Step 3

Step 3: Generate 3 Outline + Style Variants

Based on analysis + user context, create three distinct strategy variants. Each variant includes both outline structure and visual style recommendation.

For each strategy:

StrategyFilenameOutlineRecommended Style
Aoutline-strategy-a.mdStory-driven: emotional, before/afterwarm, cute, fresh
Boutline-strategy-b.mdInformation-dense: structured, factualnotion, minimal, chalkboard
Coutline-strategy-c.mdVisual-first: atmospheric, minimal textbold, pop, retro

Outline format (YAML front matter + content):

---
strategy: a  # a, b, or c
name: Story-Driven
style: warm  # recommended style for this strategy
style_reason: "Warm tones enhance emotional storytelling and personal connection"
elements:  # from style preset, can be customized in Step 4
  background: solid-pastel
  decorations: [clouds, stars-sparkles]
  emphasis: star-burst
  typography: highlight
layout: balanced  # primary layout
image_count: 5
---

## P1 Cover
**Type**: cover
**Hook**: "入冬后脸不干了🥹终于找到对的面霜"
**Visual**: Product hero shot with cozy winter atmosphere
**Layout**: sparse

## P2 Problem
**Type**: pain-point
**Message**: Previous struggles with dry skin
**Visual**: Before state, relatable scenario
**Layout**: balanced

...

Differentiation requirements:

  • Each strategy MUST have different outline structure AND different recommended style
  • Adapt page count: A typically 4-6, B typically 3-5, C typically 3-4
  • Include style_reason explaining why this style fits the strategy
  • Consider user's style preference from Step 2

Reference: references/workflows/outline-template.md

Step 4: Confirmation 2 - Outline & Style & Elements Selection ⚠️

Purpose: User chooses outline strategy, confirms visual style, and customizes elements. Do NOT skip.

Display each strategy:

  • Strategy name + page count + recommended style
  • Page-by-page summary (P1 → P2 → P3...)

Use AskUserQuestion with three questions:

Question 1: Outline Strategy

  • Strategy A (Recommended if "authentic sharing")
  • Strategy B (Recommended if "professional review")
  • Strategy C (Recommended if "aesthetic mood")
  • Combine: specify pages from each

Question 2: Visual Style

  • Use strategy's recommended style (show which style)
  • Or select from: cute / fresh / warm / bold / minimal / retro / pop / notion / chalkboard
  • Or type custom style description

Question 3: Visual Elements (show after style selection) Display the selected style's default elements from preset, then ask:

  • Use style defaults (Recommended) - show preview: background, decorations, emphasis
  • Adjust background - options: solid-pastel / solid-saturated / gradient-linear / gradient-radial / paper-texture / grid
  • Adjust decorations - options: hearts / stars-sparkles / flowers / clouds / leaves / confetti
  • Type custom element preferences

After response:

  • Single strategy → copy to outline.md with confirmed style
  • Combination → merge specified pages with confirmed style
  • Custom request → regenerate based on feedback
  • Style defaults → use preset's Element Combination as-is
  • Background adjustment → update elements.background with user choice
  • Decorations adjustment → update elements.decorations with user choice
  • Custom elements → parse user's preferences into elements fields
  • Update outline.md frontmatter with final style and elements

Step 5: Generate Images

With confirmed outline + style + layout:

Visual Consistency — Reference Image Chain: To ensure character/style consistency across all images in a series:

  1. Generate image 1 (cover) FIRST — without --ref
  2. Use image 1 as --ref for ALL remaining images (2, 3,..., N)

- This anchors the character design, color rendering, and illustration style - Command pattern: --ref <path-to-image-01.png> added to every subsequent generation

This is critical for styles that use recurring characters, mascots, or illustration elements. Image 1 becomes the visual anchor for the entire series.

For each image (cover + content + ending):

  1. Save prompt to prompts/NN-{type}-[slug].md (in user's preferred language)

- Backup rule: If prompt file exists, rename to prompts/NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.md

  1. Generate image:

- Image 1: Generate without --ref (this establishes the visual anchor) - Images 2+: Generate with --ref <image-01-path> for consistency - Backup rule: If image file exists, rename to NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.png

  1. Quick quality check after each generation:

- Verify the output file exists and is non-empty - Confirm the image matches the requested style direction (hand-drawn, not photorealistic) - Check that key text content from the prompt is represented

  1. Report progress after each generation

Error Recovery:

ScenarioAction
Generation fails (API error)Auto-retry once with the same prompt
Retry also failsLog the failure, skip this image, continue to the next
Output file missing or emptyTreat as generation failure, trigger retry
Style mismatch (e.g., photorealistic instead of hand-drawn)Append style reinforcement to the prompt and retry once
All retries exhaustedReport which images failed in the completion report, suggest re-running those individually

Watermark Application (if enabled in preferences): Add to each image generation prompt:

Include a subtle watermark "[content]" positioned at [position].
The watermark should be legible but not distracting from the main content.

Reference: references/config/watermark-guide.md

Image Generation Skill Selection:

  • Check available image generation skills (see references/config/image-gen-interface.md for required capabilities)
  • If only one skill is available, use it automatically
  • If multiple skills available, ask user preference
  • If no skill is available, inform the user and stop

Session Management: If image generation skill supports --sessionId:

  1. Generate unique session ID: xhs-{topic-slug}-{timestamp}
  2. Use same session ID for all images
  3. Combined with reference image chain, ensures maximum visual consistency

Step 6: Completion Report

Xiaohongshu Infographic Series Complete!

Topic: [topic]
Strategy: [A/B/C/Combined]
Style: [style name]
Layout: [layout name or "varies"]
Location: [directory path]
Images: N total

✓ analysis.md
✓ outline-strategy-a.md
✓ outline-strategy-b.md
✓ outline-strategy-c.md
✓ outline.md (selected: [strategy])

Files:
- 01-cover-[slug].png ✓ Cover (sparse)
- 02-content-[slug].png ✓ Content (balanced)
- 03-content-[slug].png ✓ Content (dense)
- 04-ending-[slug].png ✓ Ending (sparse)

Image Modification

ActionSteps
EditUpdate prompt file FIRST → Regenerate with same session ID
AddSpecify position → Create prompt → Generate → Renumber subsequent files (NN+1) → Update outline
DeleteRemove files → Renumber subsequent (NN-1) → Update outline

IMPORTANT: When updating images, ALWAYS update the prompt file (prompts/NN-{type}-[slug].md) FIRST before regenerating. This ensures changes are documented and reproducible.

Content Breakdown Principles

  1. Cover (Image 1): Hook + visual impact → sparse layout
  2. Content (Middle): Core value per image → balanced/dense/list/comparison/flow
  3. Ending (Last): CTA / summary → sparse or balanced

Style × Layout Matrix (✓✓ = highly recommended, ✓ = works well):

sparsebalanceddenselistcomparisonflowmindmapquadrant
cute✓✓✓✓✓✓✓✓✓✓✓
fresh✓✓✓✓✓✓✓✓✓✓✓
warm✓✓✓✓✓✓✓✓✓✓✓
bold✓✓✓✓✓✓✓✓✓✓✓✓
minimal✓✓✓✓✓✓✓✓✓✓✓
retro✓✓✓✓✓✓✓✓✓✓✓
pop✓✓✓✓✓✓✓✓✓✓✓✓
notion✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓
chalkboard✓✓✓✓✓✓✓✓✓✓✓✓✓✓
study-notes✗✓✓✓✓✓✓✓✓✓✓

References

Detailed templates in references/ directory:

Elements (Visual building blocks):

  • elements/canvas.md - Aspect ratios, safe zones, grid layouts
  • elements/image-effects.md - Cutout, stroke, filters
  • elements/typography.md - Decorated text (花字), tags, text direction
  • elements/decorations.md - Emphasis marks, backgrounds, doodles, frames

Presets (Style presets):

  • presets/<name>.md - Element combination definitions (cute, notion, warm...)

Workflows (Process guides):

  • workflows/analysis-framework.md - Content analysis framework
  • workflows/outline-template.md - Outline template with layout guide
  • workflows/prompt-assembly.md - Prompt assembly guide

Config (Settings):

  • config/preferences-schema.md - EXTEND.md schema
  • config/first-time-setup.md - First-time setup flow
  • config/watermark-guide.md - Watermark configuration
  • config/image-gen-interface.md - Image generation skill interface contract

Notes

  • Auto-retry once on failure | Cartoon alternatives for sensitive figures
  • Use confirmed language preference | Maintain style consistency
  • Two confirmation points required (Steps 2 & 4) - do not skip

Extension Support

Custom configurations via EXTEND.md. See Step 0 for paths and supported options.

平台分布

Codex

38.65%
按下载量换算26

Claude

32.66%
按下载量换算22

Cursor

17.15%
按下载量换算11

Gemini CLI

8.53%
按下载量换算6

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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