by CommandCodeAI · Agent Tool · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx baseai@latest init
npx baseai@latest pipe
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 1,275 |
| Forks | 112 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 68/100 |
| Open Issues | 12 |
| Last Updated | 2026-05-16 |
| Created | 2024-09-29 |
| Platforms | browser, gemini, node |
| Est. Tokens | ~206k |
BaseAI is now archived in the favor of Langbase AI Primitives. The more we built BaseAI the more we realized frameworks are a bad idea in AI engineering. This space is moving fast and frameworks become blockers. Instead you should be using AI primitives, like memory, pipes, agents that work with any language as APIs and with TypeScript and Python SDKs.
These tools work well together with BaseAI for enhanced workflows:
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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: