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 TGYD-helige · MCP Server · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pi safe to install? View the security audit →
Pi Shared TypeScript packages for Pi runtime applications. This repository contains the open-source runtime contracts, adapters, and orchestration helpers that are consumed by Pi Agent and related applications. The packages are intentionally small and composable: host applications provide HTTP routing, authentication, model runtime setup, deployment configuration, and product-specific UI. Packages Computer-use ex
| Stars | 66 |
| Forks | 13 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 62.455272944292/100 |
| Last Updated | 2026-09-18 |
| Created | 2026-05-14 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~15k |
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pi is Pluggable extension packages for the Pi AI-agent runtime. Each package exposes LLM-callable tools via MCP — covering IM workspace integrations (Lark, DingTalk, WeCom), browser & computer automation, p. It is categorized as a MCP Server with 66 GitHub stars.
pi is primarily written in TypeScript. It covers topics such as agent-extension, agent-runtime, ai-agent.
You can find installation instructions and usage details in the pi GitHub repository at github.com/TGYD-helige/pi. The project has 66 stars and 13 forks, indicating an active community.
pi is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pi on Agent Skills Hub include camofox-mcp, pi-tool-display, pi-agent-browser-native. 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: