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 Infrasity-Labs · Claude Skill · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dev-gtm-claude-skills safe to install? View the security audit →
Claude Code Skills for SEO, GEO & Developer Marketing Free, open-source Claude skills that audit your docs, score your AI discoverability, and run developer-marketing workflows — so your product gets found, parsed, and cited by AI systems. Skills · Install · Commands · Who it's for · FAQ · Website Works with: Claude Code · OpenAI Codex · Gemini CLI · OpenClaw · Hermes Agent[^hermes] · Mistral Vibe[^vibe] · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity <img src="./assets/dev-gtm-claude-skills.png" width="100%" alt="dev-gtm-claude-
| Stars | 104 |
| Forks | 5 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.5201660278494/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-28 |
| Created | 2026-05-10 |
| Platforms | claude-code, python |
| Est. Tokens | ~21k |
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dev-gtm-claude-skills is Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and cited by AI systems.. It is categorized as a Claude Skill with 104 GitHub stars.
dev-gtm-claude-skills is primarily written in Python. It covers topics such as ai-citation, ai-visibility, claude.
You can find installation instructions and usage details in the dev-gtm-claude-skills GitHub repository at github.com/Infrasity-Labs/dev-gtm-claude-skills. The project has 104 stars and 5 forks, indicating an active community.
dev-gtm-claude-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to dev-gtm-claude-skills on Agent Skills Hub include tutor-skills, eGEOagents, copilot-mcp. 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: