foundry: IncuBrain Foundry is a Nuxt 4 template optimised for creating AI-native businesses

by incubrain · Agent Tool · ★ 79

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

How to install foundry

npx create-foundry my-project
npm install @incubrain/foundry

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

Security audit verdict: SAFE · quality 67/100

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.

agent-skillsaibuildingbusinessclaude-codedocumentationdocusfounderfoundrynuxt

Quick Facts

Stars79
Forks8
LanguageTypeScript
CategoryAgent Tool
Quality Score67/100
Open Issues4
Last Updated2026-09-25
Created2022-11-07
Platformsclaude-code, node
Est. Tokens~14k

About foundry

Foundry Validation landing pages for technical founders. Capture signal before you build. What It Does Landing pages with email capture, presales, and booking flows Authority docs with citations, cross-linking, and MCP integration Event tracking that streams to your webhooks (Telegram, Slack, Discord) MCP tools for AI agents — query docs, decisions, and detect content changes Auto-registration...

Compatible Skills

These tools work well together with foundry for enhanced workflows:

  • mcp-toolkit — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • ai-agent-template-openai — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • nuxt-mcp-dev — semantic(0.30)+complementary+rare_topics+same_lang+shared_platform (50%)

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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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