startup-skill: AI agent skills for startup validation, competitive intelligence, and planning

by ferdinandobons · Claude Skill · ★ 1.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Code Skills

How to install startup-skill

claude plugin install startup@startup-skill
npx skills add ferdinandobons/startup-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsbattle-cardsclaude-codeclaude-skillscompetitive-analysiscompetitive-intelligencemarket-researchpricing-analysisstartupstartup-validation

Quick Facts

Stars1,217
Forks158
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Open Issues2
Last Updated2026-07-01
Created2026-03-06
Platformsclaude-code
Est. Tokens~16k

About startup-skill

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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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