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 ferdinandobons · Claude Skill · ★ 587
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is startup-skill safe to install? View the security audit →
Startup Skills for AI Agents Everything you need to validate and launch a startup — researched by AI agents, not guesswork. These skills turn Claude into a startup analyst. They search the web, profile competitors, mine customer reviews, reverse-engineer pricing, and produce structured deliverables you can actually use: battle cards, financial projections, positioning docs, risk scorecards. Works with Claude Code and any agent that supports skills. Website: startupskill.me Contributions welcome! Open a PR or an issue. Available Skills Coming soon: (April Dunford framework) and (investor deck generation). Usage Describe what you need — skills trigger automatically: "I want to build a SaaS for real estate agents that automates follow-up emails. Is it worth building?" → startup-design runs the full 8
| Stars | 587 |
| Forks | 89 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71.6807973927083/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-01 |
| Created | 2026-03-06 |
| Platforms | claude-code |
| Est. Tokens | ~16k |
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startup-skill is AI agent skills for startup validation, competitive intelligence, and planning. It is categorized as a Claude Skill with 587 GitHub stars.
You can find installation instructions and usage details in the startup-skill GitHub repository at github.com/ferdinandobons/startup-skill. The project has 587 stars and 89 forks, indicating an active community.
startup-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to startup-skill on Agent Skills Hub include Claude-Code-Everything-You-Need-to-Know, ios-simulator-skill, claude-codex-settings. 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: