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blocklet-url-analyzerBlocklet url 分析器

Agent Skill

blocklet-url-analyzer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

192

周安装

8

GitHub Stars

公开资料未说明

下载量

64
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

2

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:blocklet-url-analyzer(Blocklet url 分析器)
来源仓库:https://github.com/arcblock/agent-skills
仓库路径:skills/blocklet-url-analyzer
安装命令:
npx skills add arcblock/agent-skills --skill "blocklet-url-analyzer"
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。

AgentSkills.tonpx skills
npx skills add arcblock/agent-skills --skill "blocklet-url-analyzer"

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 支持基于关键词、任务场景或来源线索进行信息筛选与匹配。
  • 通过 npx skills add arcblock/agent-skills --skill "blocklet-url-analyzer" 安装使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 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。

SKILL.md

name
blocklet-url-analyzer
description
Analyze Blocklet Server related URLs, identify their type (daemon/service/blocklet), and locate the corresponding development repository. Supports analysis of IP DNS domains and regular domains.

Blocklet URL Analyzer

Analyze URLs in the Blocklet Server ecosystem, identify request types, and locate corresponding development repositories.

Core Philosophy

"Bridge from URL to code."

When issues occur in production, developers only have a URL in hand. This skill serves as the bridge: analyzing URL type (Daemon/Service/Blocklet), locating the specific repository and code path, making the "URL → code" path clear and traceable.

Use Cases

  • User provides a Blocklet Server related URL and wants to know which repository to develop in
  • During debugging, need to know which component a URL corresponds to
  • Reverse lookup development repository from production environment URL

Critical Rule

⚠️ NEVER use Chrome browser or any interactive browser tools to analyze URLs. ALWAYS use terminal commands (curl, wget, etc.) to make HTTP requests directly. This is a strict requirement - all URL analysis must be done via command line, not browser automation.

Repository Reference Files

This skill includes local reference files for repository lookup:

  • references/org-arcblock-repos.md - ArcBlock organization repos (core infrastructure, SDKs, mobile apps)
  • references/org-blocklet-repos.md - Blocklet organization repos (blocklet applications, kits, tools)
  • references/org-aigne-repos.md - AIGNE organization repos (AI agent framework, LLM adapters)

Active Loading Policy (ALP)

Load reference files on-demand based on context. Do not preload all files.
Trigger ConditionLoad File
Need ArcBlock core repos (blocklet-server, ux, did-connect, SDKs)references/org-arcblock-repos.md
Need Blocklet app repos (payment-kit, media-kit, discuss-kit, etc.)references/org-blocklet-repos.md
Need AIGNE AI repos (aigne-framework, aigne-hub, LLM adapters)references/org-aigne-repos.md
Uncertain which organizationFirst read references/README.md for high-density summary

Loading Strategy:

  1. First determine which organization the repository likely belongs to based on blocklet name/context
  2. Load only the relevant reference file
  3. If uncertain, read references/README.md first to decide which file to load
  4. Prefer local reference files over gh commands for repository lookup

URL Type Classification

1. Blocklet Server Daemon (Core Management Interface)

Characteristics:

  • Main domain (not IP DNS domain)
  • Path starts with /admin

Examples:

https://node-dev-1.arcblock.io/admin/blocklets
https://node-dev-1.arcblock.io/admin/blocklets/zNKWm5HBgaTLptTZBzjHo6PPFAp8X3n8pabY/components
https://example.com/admin/settings

Corresponding repository: ArcBlock/blocklet-server


2. Blocklet Service (Blocklet Built-in Service Interface)

Characteristics:

  • IP DNS domain (format: {did}-{ip}.ip.abtnet.io)
  • Path starts with /.well-known/service/admin

Examples:

https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io/.well-known/service/admin/overview
https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io/.well-known/service/admin/operations

Corresponding repository: ArcBlock/blocklet-server (service module)


3. Specific Blocklet (Third-party Blocklet Applications)

Characteristics:

  • IP DNS domain
  • Path starts with blocklet's mount path (not /.well-known)
  • Or IP DNS domain root path

Examples:

https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io/image-bin/admin/images
https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io/payment-kit/admin
https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io

Corresponding repository: Need to request URL to analyze which specific blocklet


Workflow

Phase 1: URL Parsing

// Parse URL to get key information
const url = new URL(inputUrl);
const host = url.hostname;
const path = url.pathname;

Phase 2: Domain Type Detection

2.1 Detect Domain Type

// IP DNS domain regex
const IP_DNS_PATTERN = /^[a-z0-9]+-(\d{1,3}-){3}\d{1,3}\.ip\.abtnet\.io$/;
const DID_DNS_PATTERN = /^[a-z0-9]+\.did\.abtnet\.io$/;

const isIpDnsDomain = IP_DNS_PATTERN.test(host) || DID_DNS_PATTERN.test(host);
const isArcBlockDomain = host.endsWith('.arcblock.io') || host.endsWith('.abtnet.io');
Domain TypeDetection Result
*.ip.abtnet.ioIP DNS domain → Possibly Blocklet
*.did.abtnet.ioDID DNS domain → Possibly Blocklet
*.arcblock.io / *.abtnet.ioArcBlock domain → Check path and request API
Other domainsRegular domain → Check path, may also be Blocklet

Phase 3: Path Type Detection

const DAEMON_ADMIN_PATH = '/admin';
const WELLKNOWN_SERVICE_PATH = '/.well-known/service';
const WELLKNOWN_PATH = '/.well-known';

3.1 Detection Flow

IF not IP DNS domain AND path.startsWith('/admin')
  → Type: DAEMON
  → Repository: ArcBlock/blocklet-server

ELSE IF IP DNS domain AND path.startsWith('/.well-known/service/admin')
  → Type: BLOCKLET_SERVICE
  → Repository: ArcBlock/blocklet-server

ELSE IF IP DNS domain AND (path === '/' OR !path.startsWith('/.well-known'))
  → Type: BLOCKLET
  → Need further identification of specific blocklet

ELSE IF path.startsWith('/.well-known') AND !path.startsWith('/.well-known/service')
  → Type: WELLKNOWN
  → Repository: ArcBlock/blocklet-server

ELSE IF isArcBlockDomain OR otherDomain
  → Type: POSSIBLE_BLOCKLET
  → Try to request API to identify (proceed to Phase 4)

ELSE
  → Type: UNKNOWN
  → Need user to provide more information

Important: For non-IP DNS domains (like spaces.staging.arcblock.io), always try to request the Blocklet API first before marking as UNKNOWN. Many Blocklets run on regular domains.

Phase 4: Blocklet Identification (BLOCKLET or POSSIBLE_BLOCKLET Type)

When URL type is BLOCKLET or POSSIBLE_BLOCKLET, need to request API to get specific blocklet information.

4.1 Extract Mount Path

// Extract mount path (first path segment) from path
const pathParts = path.split('/').filter(Boolean);
const mountPath = pathParts.length > 0 ? `/${pathParts[0]}` : '/';

4.2 Request Blocklet Information

Method A: Request __blocklet__.js (Recommended)

This is the most reliable method. The __blocklet__.js?type=json endpoint returns information about the main blocklet AND all its components.

# Get full blocklet metadata (returns JSON when type=json)
BLOCKLET_DATA=$(curl -sS "${ORIGIN}/__blocklet__.js?type=json" 2>/dev/null)

# Extract main blocklet info
echo "$BLOCKLET_DATA" | jq '{appName, appId, appUrl}'

# Extract component mount points
echo "$BLOCKLET_DATA" | jq '.componentMountPoints'

Important: The appName and appId fields are for the main blocklet (the service). To find the specific component for a mount path, you need to search in componentMountPoints:

# Find component by mount path
# Example: For URL https://team.arcblock.io/task/..., MOUNT_PATH="/task"
COMPONENT=$(echo "$BLOCKLET_DATA" | jq --arg mp "$MOUNT_PATH" '.componentMountPoints[] | select(.mountPoint == $mp)')
echo "$COMPONENT" | jq '{name, did, title, mountPoint}'

Component fields:

  • name: Component name (may be the DID itself for some blocklets)
  • did: Component DID (use this to identify the blocklet)
  • title: Human-readable title (e.g., "FlowBoard", "Payment Kit")
  • mountPoint: The URL path where this component is mounted

Special case - root path: If mount path is /, find the component with mountPoint: "/":

ROOT_COMPONENT=$(echo "$BLOCKLET_DATA" | jq '.componentMountPoints[] | select(.mountPoint == "/")')

Method B: Request Page to Analyze Meta Tags

# Request page to get HTML
curl -sS "$URL" | grep -oP '(?<=<meta name="blocklet-did" content=")[^"]*'

Method C: Legacy DID API (may not work for all setups)

# Construct API URL
API_URL="${ORIGIN}/.well-known/service/api/did/blocklet"
curl -sS "$API_URL" | jq '.name, .did, .title'

4.3 Blocklet to Repository Mapping

Step 1: Domain-based quick identification

Some Blocklets can be identified by their domain pattern:

Domain PatternRepository Name
spaces*.arcblock.iodid-spaces
store.blocklet.devblocklet-store

Step 2: Query local reference files (following ALP)

Based on the blocklet name, determine which organization it likely belongs to:

  • Core infrastructure (blocklet-server, ux, did-connect, SDKs) → Load references/org-arcblock-repos.md
  • Blocklet apps (payment-kit, media-kit, discuss-kit, etc.) → Load references/org-blocklet-repos.md
  • AI-related (aigne-*, LLM adapters) → Load references/org-aigne-repos.md
  • Uncertain → First read references/README.md for high-density summary

Reference file format:

| Name | URL | Main Branch | Branch Prefix | Description | Category |

Search by blocklet name or keyword in the loaded file.

Common blocklet name/title to repository name mapping:

Blocklet Name/Title (from API)Repository Name (in references)
image-bin / Media Kitmedia-kit
did-spaces / DID Spacesdid-spaces
payment-kit / Payment Kitpayment-kit
did-comments / Discuss Kitdiscuss-kit
FlowBoardflow-board
pages-kit / Pages Kitpages-kit
vote / Votevote
ai-studio / AIGNE Studioai-studio
meilisearch / Search Kitmeilisearch-kit
excalidraw / Excalidrawexcalidraw
virtual-gift-card / Virtual Gift Cardvirtual-gift-card
nft-blender / NFT Blendernft-blender

Note: The name field from componentMountPoints may be a DID string (e.g., z2qa4xMVAJxvA1GgfnPpMFqhdSjU9pe37NCiY) when the blocklet uses its DID as the internal name. In such cases, use the title field for human-readable identification and search in reference files.

Step 3: If no match found

Use AskUserQuestion to let user confirm repository

Phase 5: Output Analysis Result

===== URL Analysis Result =====

Input URL: {INPUT_URL}

Type: {DAEMON | BLOCKLET_SERVICE | BLOCKLET | WELLKNOWN | UNKNOWN}
Domain: {HOST}
Path: {PATH}

{If DAEMON}
Component: Blocklet Server Daemon (Core Management Interface)
Repository: ArcBlock/blocklet-server
Path: core/daemon, core/webapp

{If BLOCKLET_SERVICE}
Component: Blocklet Service (Blocklet Built-in Service Interface)
Repository: ArcBlock/blocklet-server
Path: core/service

{If BLOCKLET}
Component: {BLOCKLET_NAME} ({BLOCKLET_TITLE})
DID: {BLOCKLET_DID}
Mount Path: {MOUNT_PATH}
Repository: {ORG}/{REPO}

{If UNKNOWN}
Cannot identify automatically, please provide more information or manually specify repository.

Common URL Pattern Quick Reference

URL PatternTypeCorresponding Repository
*/admin/* (not IP DNS)DAEMONArcBlock/blocklet-server
*.ip.abtnet.io/.well-known/service/admin/*BLOCKLET_SERVICEArcBlock/blocklet-server
*.ip.abtnet.io/image-bin/*BLOCKLETArcBlock/media-kit
*.ip.abtnet.io/payment-kit/*BLOCKLETArcBlock/payment-kit
*.ip.abtnet.io/discuss-kit/*BLOCKLETblocklet/discuss-kit
*.ip.abtnet.io/ (root path)BLOCKLETRequest API to identify
*/.well-known/did.jsonWELLKNOWNArcBlock/blocklet-server

Integration with dev-setup Skills

When blocklet-dev-setup or blocklet-server-dev-setup receives a URL that is not a GitHub Issue, call this skill to analyze:

  1. Analyze URL type
  2. Identify corresponding repository
  3. Return repository info to dev-setup skill to continue execution

Output Protocol

After analysis completes, output structured data for caller to parse:

<<<BLOCKLET_URL_ANALYSIS>>>
{
  "type": "DAEMON | BLOCKLET_SERVICE | BLOCKLET | WELLKNOWN | UNKNOWN",
  "url": "original URL",
  "host": "domain",
  "path": "path",
  "repo": "org/repo-name",
  "repoType": "blocklet-server | blocklet",
  "blocklet": {
    "name": "blocklet name (if BLOCKLET type)",
    "did": "blocklet DID",
    "title": "blocklet title",
    "mountPath": "mount path"
  }
}
<<<END_BLOCKLET_URL_ANALYSIS>>>

Error Handling

ErrorHandling
Invalid URL formatPrompt user to check URL format
Cannot access URLPrompt to check network or if URL is correct
Cannot identify BlockletUse AskUserQuestion to let user manually specify
No repository search resultsPrompt user to provide complete repository path

Examples

Example 1: Daemon URL

Input: https://node-dev-1.arcblock.io/admin/blocklets

Output:

Type: DAEMON
Component: Blocklet Server Daemon
Repository: ArcBlock/blocklet-server
Suggestion: Use blocklet-server-dev-setup skill to configure development environment

Example 2: Blocklet URL

Input: https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io/image-bin/admin/images

Output:

Type: BLOCKLET
Component: Image Bin (Media Kit)
Mount Path: /image-bin
Repository: ArcBlock/media-kit
Suggestion: Use blocklet-dev-setup skill to configure development environment

Example 3: Blocklet Service URL

Input: https://bbqaqc2vvt4mte2n4mta7dlgpsoxakc2gejo3wrrx34-18-180-145-193.ip.abtnet.io/.well-known/service/admin/overview

Output:

Type: BLOCKLET_SERVICE
Component: Blocklet Service (Built-in Management Interface)
Repository: ArcBlock/blocklet-server
Path: core/service
Suggestion: Use blocklet-server-dev-setup skill to configure development environment

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

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

OpenCode

28.33%
按下载量换算18

Cursor

23.83%
按下载量换算15

Codex

19.24%
按下载量换算12

Claude Code

12.27%
按下载量换算8

Antigravity

6.94%
按下载量换算4

Gemini CLI

3.68%
按下载量换算2

安全审计

暂无安全审计结果可展示。

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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