claude-plugins — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 closedloop-ai · Agent Tool · ★ 102

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

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About claude-plugins

ClosedLoop.AI Claude Plugins ClosedLoop is an AI platform that brings the speed of individual AI-driven development to the full software development team. We're offering our agents as open sourced Claude Code plugins because we just couldn't keep this a secret for ourselves — check out our agents for planning, code reviews, judging quality and more that outperform Opus 4.6 and Sonnet 4.5 out of the box. Bootstrap. Plan. Code. Ship. It's that simple. LLMs are great at non-deterministic content generation — horrible at being repeatably correct. That's why we took Claude Code and extended it with a lightweight multi-agent orchestration workflow paradigm that works for us; modeling how we collaborate as a team. Optimized for efficiency & correctness to produce code that lands without the churn; it's grounded in your codebase and outperforms Opus 4.6 out of the box at half the cost. What's more impactful is that it allowed our team of engineers to shift left; reviewing and approving sprints-worth of work scope in documented implementation plans and generating the code while we slept. Tickets become Tasks

agentic-aiai-agentsanthropicautomationclaude-codedeveloper-toolsdevtoolsllmmulti-agent

Quick Facts

Stars102
Forks10
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score70.7678327478038/100
Open Issues9
Last Updated2026-09-21
Created2026-03-04
Platformsclaude-code, python
Est. Tokens~14k

claude-plugins alternative? Top 6 similar tools

Looking for a claude-plugins alternative? If you're comparing claude-plugins with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • luxor-claude-marketplace by manutej · ⭐ 61

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  • claudekit by duthaho · ⭐ 97

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  • claude-emporium by Vvkmnn · ⭐ 82

    🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace

  • claudepro-directory by JSONbored · ⭐ 217

    HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve

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Frequently Asked Questions

What is claude-plugins?

claude-plugins is Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase. Bootstrap, Plan, & Ship.. It is categorized as a Agent Tool with 102 GitHub stars.

What programming language is claude-plugins written in?

claude-plugins is primarily written in Python. It covers topics such as agentic-ai, ai-agents, anthropic.

How do I install or use claude-plugins?

You can find installation instructions and usage details in the claude-plugins GitHub repository at github.com/closedloop-ai/claude-plugins. The project has 102 stars and 10 forks, indicating an active community.

What license does claude-plugins use?

claude-plugins is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to claude-plugins?

The top alternatives to claude-plugins on Agent Skills Hub include luxor-claude-marketplace, intellegix-code-agent-toolkit, .claude. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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