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 keinsaasforever · Claude Skill · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gtm-pipeline-skills safe to install? View the security audit →
GTM Pipeline Skills Ten Claude Code skills for building efficient B2B lead generation pipelines — from company discovery to enriched contacts ready for outreach. Using these get you Clay quality data for 10-20% of the price. Each skill is a standalone Markdown instruction file that Claude reads and executes as an agent. Use them individually or chain them into a full pipeline. We are using ONLY the best and latest data providers and enrichment services and are not associated or affiliated with any of them. Quick Start Then open a project in Claude Code and run: The setup skill walks you through API keys, PhantomBuster agent IDs (auto-looked-up via MCP if available), and your first client ICP — in under 10 minutes. Skills Fi
| Stars | 69 |
| Forks | 8 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69.3586550235065/100 |
| Last Updated | 2026-08-25 |
| Created | 2026-04-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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gtm-pipeline-skills is B2B Sales Claude Skills. It is categorized as a Claude Skill with 69 GitHub stars.
gtm-pipeline-skills is primarily written in Python. It covers topics such as gtm-engineering, lead-generation, research-automation.
You can find installation instructions and usage details in the gtm-pipeline-skills GitHub repository at github.com/keinsaasforever/gtm-pipeline-skills. The project has 69 stars and 8 forks, indicating an active community.
gtm-pipeline-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gtm-pipeline-skills on Agent Skills Hub include sales, gtm-eng-skills, gtm-engineer-playbook. 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.
Sources & who's responsible: