orchestkit: The Complete AI Development Toolkit for Claude Code

by yonatangross · MCP Server · ★ 300

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

Featured in: Claude Code Skills

How to install orchestkit

/plugin marketplace add yonatangross/orchestkit
npx skills add yonatangross/orchestkit

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

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-orchestrationagentsai-agentsai-developmentanthropicclaude-codeclaude-code-pluginclaude-plugindeveloper-toolsfastapi

Quick Facts

Stars300
Forks40
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score75/100
Open Issues93
Last Updated2026-11-08
Created2025-12-31
Platformsclaude-code, mcp, node
Est. Tokens~16k

About orchestkit

OrchestKit Stop explaining your stack. Start shipping. 111 skills · 37 agents · 210 hooks Explore the Docs → · OrchestKit Users Group → Skill browser, demo gallery, setup wizard Contents Quick Start Why OrchestKit? What You Get Key Commands Configuration Install Release Channels FAQ Development What's New Community Quick Start bash /plugin marketplace add yonatangross/orchestkit /

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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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