No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kaymen99 · Agent Tool · ★ 363
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sales-outreach-automation-langgraph safe to install? View the security audit →
AI-Sales-Outreach-Automation 👉 Dive into the full article: AI Agents + LangGraph: The Winning Formula for Sales Outreach Automation I built an AI-powered outreach system designed to integrate with multiple CRMs, automate lead research, and enhance the lead generation process. The system analyzes LinkedIn data, company websites, recent news, and social media activities to gather comprehensive insights on potential leads. Based on this information, it generates detailed analysis reports that highlight lead challenges, gaps, and opportunities for engagement. The system also creates customized outreach materials, including personalized emails, interview preparation scripts, and tailored outreach reports that showcase how our solutions can address the lead's pain points, supported by previous results and case studies. For this project, I created a sample AI marketing agency, ElevateAI Marketing Solutions, which focuses on optimizing and automating content strategies and enhancing digital presence using AI. While designed for ElevateAI, this system can easily be adapted for any agency or freelancer looking to streamline their lead outreach and improve engagement with prospects.
| Stars | 363 |
| Forks | 87 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 65.0020016131788/100 |
| Open Issues | 3 |
| Last Updated | 2025-01-15 |
| Created | 2024-08-01 |
| Platforms | python |
| Est. Tokens | ~28k |
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sales-outreach-automation-langgraph is Automate lead research, qualification, and outreach with AI agents and Langgraph, creating personalized messaging and connecting with your CRMs (HubSpot, Airtable, Google Sheets). It is categorized as a Agent Tool with 363 GitHub stars.
sales-outreach-automation-langgraph is primarily written in Python. It covers topics such as ai-agents, ai-automation, automation.
You can find installation instructions and usage details in the sales-outreach-automation-langgraph GitHub repository at github.com/kaymen99/sales-outreach-automation-langgraph. The project has 363 stars and 87 forks, indicating an active community.
The top alternatives to sales-outreach-automation-langgraph on Agent Skills Hub include DeepMCPAgent, langchain_data_agent, auto-company. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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