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 Taoidle · MCP Server · ★ 122
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is plan-cascade safe to install? View the security audit →
Plan Cascade AI-Powered Cascading Development Framework Transform complex projects into parallel executable tasks with intelligent decomposition and multi-provider execution Why Plan Cascade? • Product Editions • Quick Start • Architecture Why Plan Cascade? Traditional AI coding assistants hit a wall with large, complex projects: | Complexity
| Stars | 122 |
| Forks | 9 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.619600066485/100 |
| Last Updated | 2026-03-14 |
| Created | 2026-01-23 |
| Platforms | claude-code, codex, mcp, rust |
| Est. Tokens | ~1812k |
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plan-cascade is AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).. It is categorized as a MCP Server with 122 GitHub stars.
plan-cascade is primarily written in Rust. It covers topics such as claude-code, claude-code-plugin, developer-tools.
You can find installation instructions and usage details in the plan-cascade GitHub repository at github.com/Taoidle/plan-cascade. The project has 122 stars and 9 forks, indicating an active community.
plan-cascade is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to plan-cascade on Agent Skills Hub include safe-agentic-workflow, aiwg, xclaude-plugin. 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: