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 athola · Claude Skill · ★ 328
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-night-market safe to install? View the security audit →
Claude Night Market A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session. Install Requires Claude Code 2.1.16+ and Python 3.9+ for hooks. Run once after installing. Prefer one command? installs everything; installs a subset. Full options are in the Installation Guide. If the t
| Stars | 328 |
| Forks | 34 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66.7565369416699/100 |
| Open Issues | 12 |
| Last Updated | 2026-08-16 |
| Created | 2025-11-23 |
| Platforms | claude-code, gemini, python |
| Est. Tokens | ~15k |
These tools work well together with claude-night-market for enhanced workflows:
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claude-night-market is 23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and mu. It is categorized as a Claude Skill with 328 GitHub stars.
claude-night-market is primarily written in Python. It covers topics such as ai-agents, architecture-patterns, awesome-claude-code.
You can find installation instructions and usage details in the claude-night-market GitHub repository at github.com/athola/claude-night-market. The project has 328 stars and 34 forks, indicating an active community.
claude-night-market is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-night-market on Agent Skills Hub include Claude-Code-Agent-Monitor, awesome-claude-plugins, happier. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.