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 ilhamfp · MCP Server · ★ 275
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pasal safe to install? View the security audit →
The First Open, AI-Native Platform for Indonesian Law Demo Video · Website · Connect to Claude · REST API · AGPL-3.0 License The Problem 280 million Indonesians have no practical way to read their own laws. The official legal database ([peraturan.go.id](https://peratur
| Stars | 275 |
| Forks | 49 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 63.5821316688327/100 |
| Open Issues | 20 |
| Last Updated | 2026-03-01 |
| Created | 2026-02-11 |
| Platforms | aws, browser, claude-code, mcp, node |
| Est. Tokens | ~96k |
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pasal is Pasal.id - The first open, AI-native Indonesian legal platform. MCP server + web app giving Claude grounded access Indonesian laws.. It is categorized as a MCP Server with 275 GitHub stars.
pasal is primarily written in TypeScript. It covers topics such as ai-native, anthropic, claude.
You can find installation instructions and usage details in the pasal GitHub repository at github.com/ilhamfp/pasal. The project has 275 stars and 49 forks, indicating an active community.
pasal is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to pasal on Agent Skills Hub include maverick-mcp, open-agreements, voicemode. 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: