← 返回 Skills 市场
Discovery (
Enrichment (
Scoring (
Output (
Lead Hunter
作者
galacticpuffin
· GitHub ↗
· v1.0.1
3742
总下载
5
收藏
10
当前安装
2
版本数
在 OpenClaw 中安装
/install lead-hunter
功能描述
Automated lead generation + enrichment for AI agents. Find prospects, enrich with emails/socials/company data, score & prioritize. Your agent builds pipeline while you sleep.
使用说明 (SKILL.md)
Lead Hunter
Your agent's sales pipeline on autopilot. Find leads. Enrich them. Score them. Close them.
The Problem
Lead gen is a grind:
- Manual searching across platforms
- Copy-pasting into spreadsheets
- Paying $500/mo for enrichment tools
- Still missing half the data
Your agent can do this 24/7. Better. Faster. Cheaper.
What This Does
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ DISCOVER │ ──▶ │ ENRICH │ ──▶ │ SCORE │
│ │ │ │ │ │
│ • X/Twitter │ │ • Email finder │ │ • ICP match │
│ • LinkedIn* │ │ • Phone lookup │ │ • Intent signals│
│ • Moltbook │ │ • Company data │ │ • Engagement │
│ • GitHub │ │ • Tech stack │ │ • Timing │
│ • Product Hunt │ │ • Funding info │ │ │
│ • Custom sources│ │ • Social links │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│
▼
┌─────────────────┐
│ OUTPUT │
│ │
│ • Scored list │
│ • Ready for CRM │
│ • Auto-outreach │
└─────────────────┘
What's Included
Discovery (/discovery/)
- Multi-platform prospecting configs
- Search query templates
- Filtering rules
Enrichment (/enrichment/)
- Email discovery (pattern matching + verification)
- Company data aggregation
- Social profile linking
- Tech stack detection
Scoring (/scoring/)
- ICP (Ideal Customer Profile) matching
- Intent signal detection
- Lead scoring algorithms
- Priority ranking
Output (/output/)
- CRM-ready exports
- Outreach sequence triggers
- Webhook integrations
Quick Start
- Define your ICP in
/config/icp.yaml - Set discovery sources in
/config/sources.yaml - Configure enrichment providers in
/config/enrichment.yaml - Run:
lead-hunter discover --icp tech-startup - Leads appear in
/output/leads.json
Use Cases
For Your Own Business
Find prospects matching your ICP automatically. Wake up to fresh leads daily.
As a Service
Sell lead lists to other agents/businesses. Charge per lead or monthly retainer.
Data Bounties
Complete lead research bounties on Moltbook faster than anyone else.
Skill Arbitrage
This skill alone can power a lead gen agency. Package + resell.
Discovery Sources
| Source | Best For | Rate Limits | Setup |
|---|---|---|---|
| X/Twitter | Tech, startup, crypto leads | 500/15min | API key |
| GitHub | Developer leads | 5000/hr | Token |
| Product Hunt | Startup founders | Scraping | None |
| Moltbook | AI/agent ecosystem | API | Key |
| LinkedIn* | B2B general | Via proxy | Careful |
| Custom RSS | Industry-specific | Varies | Config |
*LinkedIn requires careful handling. See /discovery/linkedin-notes.md
Enrichment Stack
Free Tier
- Email pattern guessing + verification
- Public social scraping
- Basic company data (website, description)
- Tech stack via BuiltWith (limited)
Premium Tier (API costs)
- Hunter.io / Apollo.io integration
- Clearbit enrichment
- Full tech stack
- Funding data (Crunchbase)
- Intent signals
Pricing (If Selling Leads)
| Lead Type | Enrichment Level | Market Rate |
|---|---|---|
| Basic (name + company) | None | $0.10-0.25 |
| Standard (+ email) | Email verified | $0.50-1.00 |
| Premium (+ phone, socials) | Full | $2-5 |
| Enterprise (+ intent + timing) | Full + signals | $5-15 |
Requirements
- OpenClaw instance
- API keys for discovery sources
- Optional: enrichment provider API keys
- Storage for lead database
Premium Version
Free version includes:
- 2 discovery sources (X + GitHub)
- Basic email pattern matching
- Simple ICP scoring
- JSON export
Premium ($79) adds:
- All discovery sources
- Full enrichment stack integration
- Advanced scoring algorithms
- CRM integrations (HubSpot, Pipedrive, etc.)
- Auto-outreach triggers
- Deduplication engine
- Lifetime updates
→ Get Premium: [link]
Built for agents who sell.
安全使用建议
This skill appears to do what it says, but there are important red flags and missing details. Before installing:
- Expect to provide many third-party API keys (Twitter/X, GitHub, Hunter.io/Clearbit, Crunchbase, Moltbook, CRM tokens). Only provide minimal-scoped tokens and avoid sharing full-account credentials.
- Ask the author to update the registry metadata to declare required env vars and exactly which tokens are needed.
- Review the enrichment and scraping docs for legal and privacy compliance (GDPR, platform Terms of Service). Avoid using proxies or scraping approaches that violate site terms.
- Disable autonomous model invocation (or require user confirmation) if you do not want the agent to send outreach messages or webhooks without intervention.
- Test on a small, low-risk dataset first and audit outputs (duplicates, accuracy) before letting it run at scale or charging customers.
If you need help assessing the specific provider integrations (Hunter/Clearbit/Crunchbase) or drafting a safer deployment configuration, get more detail from the skill author before proceeding.
功能分析
Type: OpenClaw Skill
Name: lead-hunter
Version: 1.0.1
The skill is designed for lead generation and enrichment, which involves collecting personal and company data and integrating with various external APIs (Twitter, GitHub, Hunter.io, Apollo.io, CRMs) and webhooks. While the core functionality aligns with its stated purpose, the skill includes methods like web scraping (e.g., Product Hunt, and explicitly warned-against LinkedIn scraping in `discovery/sources.md`) and SMTP pings for email verification (`enrichment/email-discovery.md`). Although the documentation provides clear warnings and recommendations for safe usage, these capabilities carry inherent risks such as IP bans, account suspensions, or negative impact on sender reputation, classifying them as risky without clear malicious intent.
能力评估
Purpose & Capability
Name and description match the instructions (discover, enrich, score, export leads). However, the registry metadata lists no required credentials or env vars, while the SKILL.md repeatedly references API keys/tokens (X/Twitter API key, GitHub token, Moltbook key, Hunter.io/Clearbit/Crounchbase, etc.), proxies for LinkedIn, and premium provider integrations. That mismatch between declared requirements and the described capabilities is incoherent and should have been declared explicitly.
Instruction Scope
The runtime instructions instruct broad data collection (scraping public profiles, email discovery/verification, phone lookups, tech stack detection), use of proxies for LinkedIn, and auto-outreach/webhook integrations. Those actions are within the skill's sales/lead-gen purpose but the instructions are operationally broad and vague about legal/ethical safeguards, data retention, or consent. 'Proxy' usage and scraping notes in particular suggest bypassing platform limits or protections, which is risky and not justified in the metadata.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. Nothing is written to disk by an installer. However, because the instructions direct network calls and external API usage, runtime risks depend on how the host agent executes those steps.
Credentials
Functionally, the skill requires many external credentials (various APIs and enrichment providers), but the manifest declares no required env vars or primary credential. Requiring multiple third-party API keys would be proportionate to the task, but they must be declared and scoped; their absence in the metadata is an inconsistency and a transparency problem. Users should not hand over broad account credentials without clear justification and scoping.
Persistence & Privilege
The skill does not set always:true and there are no OS restrictions, but disableModelInvocation is not set (model invocation allowed). That means the agent could autonomously trigger discovery/enrichment/outreach actions if not otherwise constrained. Given the skill's ability to perform outreach/webhooks, you should consider limiting autonomous invocation or requiring explicit user approval before sending messages or exporting data.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install lead-hunter - 安装完成后，直接呼叫该 Skill 的名称或使用
/lead-hunter触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
- Version bump from 1.0.0 to 1.0.1 with no other detected changes.
- No updates to code or documentation files.
- Behavior and features remain the same as previous version.
v1.0.0
Initial release of lead-hunter – automated lead generation and enrichment for AI agents.
- Automatically discovers, enriches, and scores leads from multiple platforms
- Supports email/social/company enrichment, tech stack detection, and CRM-ready exports
- Includes configurable discovery sources and enrichment providers
- Features lead scoring and prioritization for ICP matching and intent
- Free and premium versions available, with optional integrations and auto-outreach
元数据
常见问题
Lead Hunter 是什么？
Automated lead generation + enrichment for AI agents. Find prospects, enrich with emails/socials/company data, score & prioritize. Your agent builds pipeline while you sleep. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 3742 次。
如何安装 Lead Hunter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install lead-hunter」即可一键安装，无需额外配置。
Lead Hunter 是免费的吗？
是的，Lead Hunter 完全免费（开源免费），可自由下载、安装和使用。
Lead Hunter 支持哪些平台？
Lead Hunter 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Lead Hunter？
由 galacticpuffin（@galacticpuffin）开发并维护，当前版本 v1.0.1。
推荐 Skills