plugin: Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot

by archcore-ai · MCP Server · ★ 60

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install plugin

/plugin marketplace add archcore-ai/plugin
/plugin install archcore@archcore-plugins

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

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.

agent-skillsai-agentsai-codingarchitectureclaude-codeclaude-code-plugincodexcodex-clicoding-agentscontext-engineering

Quick Facts

Stars60
Forks8
LanguageShell
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues16
Last Updated2026-09-22
Created2026-04-05
Platformsclaude-code, cli, codex, mcp
Est. Tokens~12k

About plugin

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.

Compatible Skills

These tools work well together with plugin for enhanced workflows:

  • GAAI-framework — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • claude-council — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

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:

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