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 GammaLabTechnologies · Agent Tool · ★ 2.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is harmonist safe to install? View the security audit →
If you are an AI agent asked to install or integrate this pack: read and execute its steps. Do not apply as a live rule inside the pack folder — it is the template that becomes the user project's during integration. Harmonist Portable AI agent orchestration with mechanical protocol enforcement A drop-in multi-agent framework for Cursor, Claude Code, Copilot, Windsurf, Aider, and other AI coding assistants. Built and maintained by [GammaLab]
| Stars | 2,257 |
| Forks | 206 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.4136740502335/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-09 |
| Created | 2026-04-23 |
| Platforms | claude-code, python |
| Est. Tokens | ~151k |
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harmonist is Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.. It is categorized as a Agent Tool with 2.3k GitHub stars.
harmonist is primarily written in Python. It covers topics such as agent-framework, agent-system, ai-agents.
You can find installation instructions and usage details in the harmonist GitHub repository at github.com/GammaLabTechnologies/harmonist. The project has 2.3k stars and 206 forks, indicating an active community.
harmonist is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to harmonist on Agent Skills Hub include vibe-coding-prompt-template, sre, pydantic-deepagents. 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: