Business 技能验证

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作者仓库 nano-core

解读按原文结构重写，命令、链接、术语均保留；右侧可核对作者原始 SKILL.md

方法与流程

Core Workflow：原文以此为独立章节。
Phase 1: Discovery：Define target parameters (region, keywords, industry) Run web searches to discover businesses Filter by location/relevance
Phase 2: Validation：Cross-reference each business: Social presence (LinkedIn, website, social links) Review activity (Google, Yelp)

适用与边界

When to Use：Build targeted outreach lists using free public data sources: Sales lead generation by region/industry Business validation before contact attempts
When not to use this skill：Do not use when another skill is a better direct match for the task. Do not use when the request is outside this skill's scope.
Phase 2: Validation：Cross-reference each business: Social presence (LinkedIn, website, social links) Review activity (Google, Yelp)
❌ Never Do：Credential stuffing or account takeover Bypassing CAPTCHAs or rate limits Scraping behind login walls

原文中的明确线索

要点：「No paid APIs required.」、「Search engines」、「Business listings」、「Social」、「Government」、「Domains」、「News」、「Websites」
文件与命令：scripts/discoverbusinesses.py、scripts/validateactivity.py、scripts/extractcontacts.py、scripts/linkedinextract.py、scripts/buildcsv.py

流狐整理：以上内容来自当前 SKILL.md 的章节与原词；未补写作者没有声明的工具、兼容性或能力。

Business Contact Reconnaissance Skill

When not to use this skill

Do not use when another skill is a better direct match for the task.
Do not use when the request is outside this skill's scope.

When to Use

Build targeted outreach lists using free public data sources:

Sales lead generation by region/industry
Business validation before contact attempts
Discovering key personnel (owners, managers, decision-makers)
Regional/niche market research

Prerequisites

# Core dependencies
pip install requests beautifulsoup4 lxml python-dateutil

# Optional (for advanced extraction)
pip install linkedin-api  # Free tier with limitations

No paid APIs required. All sources in this skill are free.

Core Workflow

Phase 1: Discovery

Define target parameters (region, keywords, industry)
Run web searches to discover businesses
Filter by location/relevance
Compile seed list

Phase 2: Validation

Cross-reference each business:

Social presence (LinkedIn, website, social links)
Review activity (Google, Yelp)
Recent mentions (news, blogs)
Government records (state biz registries)
Forum/community signals

Phase 3: Contact Extraction

For validated businesses:

Scrape website contact pages (respect robots.txt)
Find LinkedIn company page → extract key personnel
Use pattern-based email guessing (first@business.com)

Phase 4: Output

Generate CSV with standardized fields.

Available Scripts

Script	Purpose
`scripts/discover_businesses.py`	DuckDuckGo + web discovery
`scripts/validate_activity.py`	Multi-signal validation
`scripts/extract_contacts.py`	Contact extraction from websites
`scripts/linkedin_extract.py`	Free LinkedIn company/person data
`scripts/build_csv.py`	Generate CRM-ready CSV

Free Data Sources Priority

Search engines: DuckDuckGo (no tracking, no API limits)
Business listings: Google Maps, Yelp (public pages)
Social: LinkedIn (public profiles only, no scraping)
Government: State Secretary of State business databases
Domains: WHOIS lookup, website analysis
News: RSS feeds, Google News alerts

Compliance & Safety

✅ Allowed (Free Tier)

Public business listings and directories
Website contact pages (respect rate limits)
LinkedIn public profiles
Government records (public domain)
DuckDuckGo/Google search results

⚠️ Use Caution

Website scraping: 1 req/sec max, respect robots.txt
Email pattern guessing: verify before sending
LinkedIn: no automation tools, manual data only

❌ Never Do

Credential stuffing or account takeover
Bypassing CAPTCHAs or rate limits
Scraping behind login walls
Harvesting personal phone numbers
Using paid APIs you don't have keys for

Output Format

business_name,website,phone,email,contact_name,title,linkedin_url,source,confidence,last_verified,notes
Joe's Plumbing,https://joesplumbing.com,555-0123,joe@joesplumbing.com,Joe Smith,Owner,,website+hunter,high,2026-02-06,"Local SEO present"

Rate Limiting

Search engines: 1 query per 3 seconds (DuckDuckGo is lenient)
Websites: 1 request per second
LinkedIn: Manual extraction only (no API/scripted access)
General: Be respectful, don't impact target sites

Reference Documentation

Free Data Sources - Detailed guide to all free APIs and databases
Industry Templates - Pre-built search patterns by industry
Compliance Guidelines - Do's and don'ts for ethical OSINT
CSV Schema - Field definitions and validation rules

流狐档案作者与许可取自来源；运行、权限和网络为流狐检测或估算

流狐分类: 数据
作者声明 Agent: 未找到明确声明；不据此推断已兼容或已测试
静态检查: 88 / 100 · 启发式扫描，不代表运行安全
作者 / 版本 / 许可: @0-CYBERDYNE-SYSTEMS-0 · 未声明 license
流狐 Token 估算: 低消耗
流狐接入估算: 即装即用
是否需要外部 API Key: 未发现要求
检测到的系统要求: 未声明
底层运行要求: Python
检测到的文件与系统行为: 只读
允许写入 / 修改
检测到的网络行为: 仅限本地
安装命令数: 无（仅作为资料）

档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。

需要注意： 未限定 allowed-tools，默认拥有全部工具权限。

输出预览 business-contact-recon.preview

# Phase 4: Output

Generate CSV with standardized fields.

SKILL.md SKILL.md

# Business Contact Reconnaissance Skill

## When not to use this skill
- Do not use when another skill is a better direct match for the task.
- Do not use when the request is outside this skill's scope.

## When to Use

Build targeted outreach lists using free public data sources:
- Sales lead generation by region/industry
- Business validation before contact attempts
- Discovering key personnel (owners, managers, decision-makers)
- Regional/niche market research

## Prerequisites

```bash
# Core dependencies
pip install requests beautifulsoup4 lxml python-dateutil

# Optional (for advanced extraction)
pip install linkedin-api  # Free tier with limitations
```

**No paid APIs required.** All sources in this skill are free.

## Core Workflow

### Phase 1: Discovery
1. Define target parameters (region, keywords, industry)
2. Run web searches to discover businesses
3. Filter by location/relevance
4. Compile seed list

### Phase 2: Validation
Cross-reference each business:
- Social presence (LinkedIn, website, social links)
- Review activity (Google, Yelp)
- Recent mentions (news, blogs)
- Government records (state biz registries)
- Forum/community signals

### Phase 3: Contact Extraction
For validated businesses:
1. Scrape website contact pages (respect robots.txt)
2. Find LinkedIn company page → extract key personnel
3. Use pattern-based email guessing (first@business.com)

### Phase 4: Output
Generate CSV with standardized fields.

## Available Scripts

| Script | Purpose |
|--------|---------|
| `scripts/discover_businesses.py` | DuckDuckGo + web discovery |
| `scripts/validate_activity.py` | Multi-signal validation |
| `scripts/extract_contacts.py` | Contact extraction from websites |
| `scripts/linkedin_extract.py` | Free LinkedIn company/person data |

…

证据边界与执行链路

作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。

章节    -> When not to use this skill → When to Use → Prerequisites → Core Workflow → Phase 1: Discovery → Phase 2: Validation
要点    -> No paid APIs required. · Search engines · Business listings · Social · Government · Domains · News · Websites
文件/命令 -> scripts/discoverbusinesses.py · scripts/validateactivity.py · scripts/extractcontacts.py · scripts/linkedinextract.py · scripts/buildcsv.py
内容 SHA-256 -> 9a40d4ae8f38