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Agent Skill · 研究检索

agent-skill-discovery(Agent 技能发现)

agent-skill-discovery 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。

agent-skill-discovery 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 63,093。

总安装 321周安装 13GitHub Stars 31下载 101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:agent-skill-discovery(Agent 技能发现)
来源仓库:https://github.com/ericgandrade/claude-superskills
仓库路径:skills/agent-skill-discovery
安装命令:
npx skills add https://github.com/ericgandrade/claude-superskills --skill agent-skill-discovery
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/ericgandrade/claude-superskills --skill agent-skill-discovery

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于扫描和列出系统中的 AI CLI 资源和技能。适合需要快速了解当前环境可用资源时使用。agent-skill-discovery 属于研究检索类 Skill,可作为该场景下的辅助能力补充。通过 GitHub 安装,以只读方式提供资源清单。不执行分析或推荐,仅作为资源发现的基础层。

适用于多平台环境,提供跨系统的技能目录概览。

来源仓库内路径:skills/agent-skill-discovery

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/ericgandrade/claude-superskills --skill agent-…;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

    它需要操作浏览器,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

agent-skill-discovery 怎么安装?

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

agent-skill-discovery 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。

agent-skill-discovery 需要什么权限?

权限级别是操作浏览器。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。

agent-skill-discovery 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。

agent-skill-discovery 用的人多吗?

公开数据是累计安装 321 次,近一周安装 13 次,下载 101 次,GitHub 31 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。

agent-skill-discovery 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
agent-skill-discovery

Agent 技能发现 · 本页

32131操作浏览器未明确未通过

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

agent-skill-discovery

Purpose

Automated inventory of AI CLI resources across two scopes: resources installed on the system and resources present in the current repository. This skill provides a comprehensive, platform-agnostic catalog of plugins, agents, skills, and MCP servers available in the current environment.

The skill operates in discovery-only mode—it scans, lists, and presents resources without performing analysis, recommendations, or orchestration. It serves as the foundation layer for resource awareness across all supported AI CLI platforms.

When to Use

Invoke this skill when:

  • User wants to know what resources are installed
  • Before planning complex tasks (foundation for orchestration)
  • Debugging missing resources or capabilities
  • Auditing available tools and integrations
  • Discovering newly installed plugins or MCP servers
  • Verifying skill installation after setup
  • Understanding platform capabilities
  • Checking whether the current repository contains local agents, skills, or MCP configs

Progress Tracking

Display a progress gauge before each step to keep the user informed:

[████░░░░░░░░░░░░░░░░] 15% — Step 1/6: Scanning Plugins
[████████░░░░░░░░░░░░] 30% — Step 2/6: Scanning Skills
[████████████░░░░░░░░] 45% — Step 3/6: Scanning MCP Servers
[████████████████░░░░] 60% — Step 4/6: Scanning Repository
[██████████████████░░] 75% — Step 5/6: Applying Filters
[████████████████████] 100% — Step 6/6: Generating Catalog

Parallel Scanning Strategy

After platform detection (Step 0), launch Steps 1–4 as four simultaneous agents in a single block:

AgentRole
PluginScannerGlob for plugin.json files, extract name/version/agents metadata
SkillScannerGlob for SKILL.md files, parse YAML frontmatter, extract name/description/triggers
McpScannerRead.mcp.json, run ToolSearch per server, build tool inventory
RepoScannerScan current working directory for local agents, skills, and MCP configs

Each agent prompt header: # {AgentName} — Resource Discovery Agent

Wait for all four to complete, then apply filters (Step 5) and generate catalog (Step 6).

Workflow

Step 0: Platform Detection

Objective: Identify which AI CLI platform is executing the skill.

Detection Strategy:

Check for platform-specific base directories in order:

# Platform detection by directory existence
if [ -d "$HOME/.claude/skills" ] && [ -f "$HOME/.claude/skills/agent-skill-discovery/SKILL.md" ]; then
    PLATFORM="claude"
    BASE_DIR="$HOME/.claude"
elif [ -d "$HOME/.github/skills" ] && [ -f "$HOME/.github/skills/agent-skill-discovery/SKILL.md" ]; then
    PLATFORM="copilot"
    BASE_DIR="$HOME/.github"
elif [ -d "$HOME/.gemini/skills" ] && [ -f "$HOME/.gemini/skills/agent-skill-discovery/SKILL.md" ]; then
    PLATFORM="gemini"
    BASE_DIR="$HOME/.gemini"
elif [ -d "$HOME/.opencode/skills" ] && [ -f "$HOME/.opencode/skills/agent-skill-discovery/SKILL.md" ]; then
    PLATFORM="opencode"
    BASE_DIR="$HOME/.opencode"
elif [ -d "$HOME/.codex/skills" ] && [ -f "$HOME/.codex/skills/agent-skill-discovery/SKILL.md" ]; then
    PLATFORM="codex"
    BASE_DIR="$HOME/.codex"
else
    PLATFORM="unknown"
    BASE_DIR="$HOME"
fi

Platform Configuration:

Platform configuration is uniform across all 5 platforms — pluginsDir, skillsDir, and mcpConfig paths follow the same structure relative to BASE_DIR. Use BASE_DIR resolved from the detection above for all subsequent path construction.

Step 1: Scan for Plugins

Objective: Discover all installed plugins and their agents.

Actions:

Use Glob to find plugin manifests:

# Search for plugin.json files
Glob pattern: "{config.pluginsDir}/*/plugin.json"

For each plugin found:

  1. Read plugin manifest: Read: {plugin_path}/plugin.json
  2. Extract metadata:

- Plugin name - Plugin version - Plugin description - Agents array

  1. Parse agent details: For each agent in the agents array:

- Agent name - Agent description - Available tools (Glob, Grep, Read, Write, Bash, etc.) - Agent color/category (if specified)

Data Structure:

{
  "name": "feature-dev",
  "version": "1.0.0",
  "description": "Feature development workflow automation",
  "agents": [
    {
      "name": "code-explorer",
      "description": "Deeply analyzes existing codebase features",
      "tools": ["Glob", "Grep", "Read", "Bash"]
    },
    {
      "name": "code-architect",
      "description": "Designs feature architectures",
      "tools": ["Glob", "Grep", "Read", "Write"]
    }
  ]
}

Graceful Handling:

  • If plugins directory doesn't exist: Return empty plugin array
  • If plugin.json is malformed: Log warning, skip plugin, continue
  • If agents array is missing: Include plugin with 0 agents

Step 2: Scan for Skills

Objective: Discover all installed skills and their metadata.

Actions:

Use Glob to find skill definitions:

# Search for SKILL.md files
Glob pattern: "{config.skillsDir}/*/SKILL.md"

For each skill found:

  1. Read skill file: Read: {skill_path}/SKILL.md
  2. Parse YAML frontmatter: Extract the YAML block between --- delimiters: --- name: skill-creator description: "This skill should be used when..." triggers: - "create a skill" - "new skill" version: 1.0.0 category: development ---
  3. Extract metadata:

- Skill name - Description - Triggers (array of phrases) - Version - Category - Tags (if present)

Data Structure:

{
  "name": "skill-creator",
  "version": "1.0.0",
  "description": "This skill should be used when the user wants to create a new skill",
  "category": "development",
  "triggers": ["create a skill", "new skill", "build a skill"],
  "tags": ["automation", "scaffolding"]
}

Graceful Handling:

  • If skills directory doesn't exist: Return empty skill array
  • If SKILL.md has no YAML frontmatter: Skip skill, continue
  • If required fields missing (name, description): Log warning, skip
  • If triggers is empty: Include skill with empty triggers array

Step 3: Scan for MCP Servers

Objective: Discover configured MCP servers and their available tools.

Actions:

3.1 Read MCP Configuration:

# Check if MCP config exists
Read: {config.mcpConfig}

If file exists, parse JSON:

{
  "mcpServers": {
    "claude_ai_Notion": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@anthropic-ai/mcp-server-notion"]
    },
    "plugin_playwright": {
      "type": "stdio",
      "command": "node",
      "args": ["/path/to/playwright-mcp/index.js"]
    }
  }
}

3.2 Discover Available Tools:

Use ToolSearch with pattern mcp__{server_name}__* to list available tools for each configured MCP server. Build tool inventory from results. If ToolSearch fails, mark the server's tools as "unavailable" and continue.

3.3 Build MCP Server Inventory:

{
  "name": "claude_ai_Notion",
  "type": "stdio",
  "command": "npx -y @anthropic-ai/mcp-server-notion",
  "tools": [
    {
      "name": "notion-search",
      "fullName": "mcp__claude_ai_Notion__notion-search",
      "description": "Search Notion pages and databases"
    },
    {
      "name": "notion-create-pages",
      "fullName": "mcp__claude_ai_Notion__notion-create-pages",
      "description": "Create new Notion pages"
    }
  ],
  "toolCount": 5
}

Graceful Handling:

  • If.mcp.json doesn't exist: Return empty MCP array
  • If.mcp.json is malformed: Log warning, return empty array
  • If ToolSearch fails: Continue with server info, mark tools as "unavailable"
  • If no tools found for server: Include server with toolCount = 0

Step 4: Scan Current Repository

Objective: Discover local resources inside the repository where the user is currently working.

Scope:

Scan from current working directory (repository root when available). Do not use hardcoded absolute paths.

4.1 Discover Local Agents:

Search for agent manifests in common conventions:

  • **/plugin.json files containing agents arrays
  • **/agents/*.md and **/agents/*.json
  • **/.claude/agents/* and similar platform-local agent folders

For each candidate:

  • Parse safely (JSON/YAML/Markdown metadata)
  • Extract agent name, description, and source path
  • Mark resource scope as local

4.2 Discover Local Skills:

Search for skill definitions in common conventions:

  • **/skills/*/SKILL.md
  • **/.*/skills/*/SKILL.md (hidden platform folders in repo)

Parse YAML frontmatter using same validation rules as installed skills.

4.3 Discover Local MCP Configurations:

Search for MCP configuration files in common conventions:

  • ./.mcp.json
  • ./mcp.json
  • ./.config/mcp.json
  • **/.mcp.json (nested workspace folders)

If multiple files exist:

  • Parse all valid configs
  • Merge by server name
  • Deduplicate with installed scope by server name + command

4.4 Deduplication Rules:

  • Keep installed and local inventories in separate sections
  • Inside each section, deduplicate by normalized name
  • If same resource appears in both scopes, keep both entries and label scope explicitly

Graceful Handling:

  • If repository has no local resources: Return empty local arrays
  • If a local file is malformed: Skip file, continue scan
  • If repository root cannot be determined: Fallback to current working directory

Step 5: Apply Filters (Optional)

Objective: Filter results based on user-specified criteria.

Filter Types:

5.1 By Resource Type:

# User request: "list only plugins"
# Filter: Show only plugins, hide skills and MCPs

# User request: "show MCP servers"
# Filter: Show only MCP servers, hide plugins and skills

5.2 By Category:

# User request: "show development skills"
# Filter: skills.filter(s => s.category === 'development')

# User request: "list content tools"
# Filter: skills.filter(s => s.category === 'content')

5.3 By Keyword Search:

Filter by keyword: match the search term (case-insensitive substring) against plugin names, skill names and descriptions, trigger phrases, MCP server names, and tool names. Return only matching entries.

Filter Detection:

Detect filter intent from user request:

  • "only", "just", "show me" → Type filter
  • "related to", "about", "for" → Keyword search
  • Category names (development, content, analysis) → Category filter

Step 6: Generate Catalog

Objective: Present discovered resources in clean, structured markdown.

Output Format:

# 📦 Resource Discovery Report

**Platform:** {platform_name}
**Scan Date:** {YYYY-MM-DD HH:MM:SS}

---

# 📦 Installed Resources

## 🔌 Plugins ({count})

### {plugin_name} v{version}
**Description:** {description}

**Agents ({count}):**
- `{agent_name}` - {description}
  - **Tools:** {tool1}, {tool2}, {tool3}

---

## 🛠️ Skills ({count})

### {skill_name} v{version}
**Description:** {description}
**Category:** {category}
**Triggers:** `{trigger1}`, `{trigger2}`, `{trigger3}`

---

## 🌐 MCP Servers ({count})

### {server_name} ({type})
**Status:** {✅ Connected | ⚠️ Disconnected}
**Command:** `{command} {args}`

**Tools ({count}):**
- `{tool_name}` - {description}

---

# 📁 Current Repository Resources

**Repository Path:** {cwd}

## 🔌 Local Agents ({count})

### {agent_name}
**Description:** {description}
**Source:** `{relative_path}`

## 🛠️ Local Skills ({count})

### {skill_name} v{version}
**Description:** {description}
**Source:** `{relative_path}`

## 🌐 Local MCP Servers ({count})

### {server_name} ({type|unknown})
**Source Config:** `{relative_path}`
**Command:** `{command_or_unknown}`

---

## 📊 Summary

- **Installed Plugins:** {count}
- **Installed Agents:** {count}
- **Installed Skills:** {count}
- **Installed MCP Servers:** {count}
- **Installed MCP Tools:** {count}
- **Local Agents:** {count}
- **Local Skills:** {count}
- **Local MCP Servers:** {count}

Presentation Rules:

  1. Resource Counts:

- Always show counts in section headers - Include summary at bottom

  1. Sorting:

- Plugins/Agents/Skills/MCPs: Alphabetical by name

  1. Empty Sections:

- If no installed resources found: Display "None installed" - If no local repository resources found: Display "None found in current repository" - Example: ## 🔌 Plugins (0)\n\nNone installed.

  1. Tool Lists:

- For agents: Comma-separated tool names - For MCP servers: Bulleted list with descriptions

  1. Status Indicators:

- MCP Connected: ✅ - MCP Disconnected: ⚠️ - Unknown status: ❓

Critical Rules

NEVER:

  • ❌ Hardcode platform names or paths (always detect dynamically)
  • ❌ Assume directory structure exists (check first, handle gracefully)
  • ❌ Execute any resource (only read and list)
  • ❌ Analyze or recommend resources (that's orchestrator's job)
  • ❌ Skip platform detection step
  • ❌ Use platform-specific tool names without detection context
  • ❌ Fail if a single resource is malformed (skip and continue)
  • ❌ Make assumptions about missing metadata (use defaults or skip)
  • ❌ Omit repository scope when user asks for full discovery

ALWAYS:

  • ✅ Detect platform automatically at runtime
  • ✅ Scan for resources dynamically (fresh discovery each time)
  • ✅ Use Glob for file discovery (not hardcoded ls or find)
  • ✅ Use Read to parse JSON/YAML (not cat or grep)
  • ✅ Handle missing directories/files gracefully (empty arrays, not errors)
  • ✅ Present clean, structured markdown output
  • ✅ Include resource counts in all sections
  • ✅ Show platform name and timestamp in header
  • ✅ Scan current repository in addition to installed scope
  • ✅ Show installed and repository resources in separate sections
  • ✅ Sort resources alphabetically within each section
  • ✅ Validate JSON/YAML before parsing (try-catch)

DISCOVERY PRINCIPLES:

  • Zero-Config: Discover paths at runtime, never hardcode
  • Fail-Safe: Missing resources return empty arrays, not errors
  • Platform-Agnostic: Same output format on all 5 platforms
  • Dual-Scope: Always inspect installed scope and current repository scope
  • Read-Only: Never modify, execute, or recommend resources
  • Fresh Scan: No caching, always scan fresh on invocation

Example Usage

Example 1: Full Inventory

User Request:

"What do I have installed?"

Output:

# 📦 Installed Resources

**Platform:** Claude Code
**Scan Date:** 2026-02-07 14:32:15

---

## 🔌 Plugins (3)

### commit-commands v1.0.0
**Description:** Git commit workflow automation

**Agents (3):**
- `commit` - Create git commits with best practices
  - **Tools:** Bash, Read, Grep
- `commit-push-pr` - Commit, push, and open pull request
  - **Tools:** Bash, Read, Grep
- `clean_gone` - Clean up deleted remote branches
  - **Tools:** Bash

### feature-dev v1.2.0
**Description:** Feature development workflow automation

**Agents (3):**
- `code-explorer` - Deeply analyzes existing codebase
  - **Tools:** Glob, Grep, Read, Bash
- `code-architect` - Designs feature architectures
  - **Tools:** Glob, Grep, Read, Write, Bash
- `code-reviewer` - Reviews code for quality issues
  - **Tools:** Glob, Grep, Read, Bash

### plugin-dev v1.0.0
**Description:** Claude Code plugin development tools

**Agents (5):**
- `create-plugin` - Guided plugin creation workflow
  - **Tools:** Read, Write, Bash
- `skill-development` - Skill creation and optimization
  - **Tools:** Read, Write, Grep
- `command-development` - Slash command development
  - **Tools:** Read, Write
- `hook-development` - Plugin hook development
  - **Tools:** Read, Write, Grep
- `agent-development` - Agent creation and configuration
  - **Tools:** Read, Write

---

## 🛠️ Skills (8)

### agent-skill-discovery v1.0.0
**Description:** This skill should be used when the user wants to see all installed resources
**Category:** discovery
**Triggers:** `what do I have installed`, `list available resources`, `show my agents`

### audio-transcriber v1.0.0
**Description:** Transform audio recordings into professional Markdown documentation
**Category:** content
**Triggers:** `transcribe audio`, `convert audio to text`

### prompt-engineer v1.0.0
**Description:** Transforms user prompts into optimized prompts using frameworks
**Category:** optimization
**Triggers:** `improve this prompt`, `optimize prompt`, `enhance prompt`

### skill-creator v1.0.0
**Description:** This skill should be used when the user asks to create a new skill
**Category:** development
**Triggers:** `create a skill`, `new skill`, `build a skill`

### youtube-summarizer v1.0.0
**Description:** Extract transcripts from YouTube videos and generate summaries
**Category:** content
**Triggers:** `summarize youtube`, `youtube summary`, `analyze video`

(... 3 more skills)

---

## 🌐 MCP Servers (2)

### claude_ai_Notion (stdio)
**Status:** ✅ Connected
**Command:** `npx -y @anthropic-ai/mcp-server-notion`

**Tools (5):**
- `notion-search` - Search Notion pages and databases
- `notion-create-pages` - Create new Notion pages
- `notion-fetch` - Fetch Notion page content
- `notion-update-page` - Update existing Notion pages
- `notion-get-users` - Get Notion workspace users

### plugin_playwright (stdio)
**Status:** ✅ Connected
**Command:** `node /Users/user/.claude/plugins/playwright/index.js`

**Tools (15):**
- `browser_navigate` - Navigate to URL
- `browser_click` - Click element
- `browser_type` - Type text into element
- `browser_screenshot` - Take screenshot
- `browser_evaluate` - Run JavaScript in browser
(... 10 more tools)

---

## 📊 Summary

- **Total Plugins:** 3
- **Total Agents:** 11
- **Total Skills:** 8
- **Total MCP Servers:** 2
- **Total MCP Tools:** 20

Example 2: Filtered by Type

User Request:

"List only MCP servers"

Output:

# 📦 MCP Servers (2)

**Platform:** GitHub Copilot CLI
**Scan Date:** 2026-02-07 14:35:42

---

### claude_ai_Notion (stdio)
**Status:** ✅ Connected
**Tools (5):**

*(Remaining output follows same catalog format — only matching resource types shown.)*

Example 3: Keyword Search

User Request:

"Show skills related to content"

Output:

# 📦 Skills - Search Results for "content" (2)

**Platform:** Gemini CLI
**Scan Date:** 2026-02-07 14:38:10

---

### audio-transcriber v1.0.0
**Description:** Transform audio recordings into professional Markdown documentation
**Category:** content

*(Remaining output follows same catalog format — only matching resource types shown.)*

Example 4: Empty Results

User Request:

"What do I have installed?"

Output (fresh installation):

# 📦 Installed Resources

**Platform:** OpenCode
**Scan Date:** 2026-02-07 14:40:33

---

## 🔌 Plugins (0)

None installed.

*(Remaining output follows same catalog format — only matching resource types shown.)*

平台分布

Codex

35.12%
按下载量换算35

Claude

29.08%
按下载量换算29

Cursor

19.11%
按下载量换算19

Gemini CLI

8.28%
按下载量换算8

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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