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 archcore-ai · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is plugin safe to install? View the security audit →
Archcore Plugin Make your AI code like it already knows your repo. Archcore gives coding agents the architecture, rules, and prior decisions of this repo — so new changes land where your project says they belong and follow the team's conventions, automatically. Works in Claude Code, Cursor, and Codex CLI. One source of truth, in Git. Commands Describe what you want in plain English — Archcore routes it. The slash commands below are shortcuts to the same workflows. Daily, before editing — pulls relevant rules, decisions, specs, patterns, and reference docs for a file, directory, or topic; or for the rules go
| Stars | 60 |
| Forks | 8 |
| Language | Shell |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.581342438357/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-22 |
| Created | 2026-04-05 |
| Platforms | claude-code, cli, codex, mcp |
| Est. Tokens | ~12k |
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plugin is Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.. It is categorized as a MCP Server with 60 GitHub stars.
plugin is primarily written in Shell. It covers topics such as agent-skills, ai-agents, ai-coding.
You can find installation instructions and usage details in the plugin GitHub repository at github.com/archcore-ai/plugin. The project has 60 stars and 8 forks, indicating an active community.
plugin is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to plugin on Agent Skills Hub include agent-skills, awesome-ai-agent-skills, maestro. 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: