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 OpenSource03 · MCP Server · ★ 374
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is harnss safe to install? View the security audit →
[!WARNING] Harnss is in early development and issues are to be expected. Please feel free to report bugs and issues in the Issues section. Harness your AI coding agents. Harnss is a cross-platform desktop app that gives you one interface to run, manage, and switch between AI coding agents — Claude Code, Codex, and any ACP-compatible agent — without losi
| Stars | 374 |
| Forks | 41 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.4024386837624/100 |
| Open Issues | 21 |
| Last Updated | 2026-08-10 |
| Created | 2026-02-19 |
| Platforms | browser, claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~16k |
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harnss is Open-source, desktop client/UI build to harness Claude Code, Codex and any other Agent accepting Agent Client Protocol. Run multiple AI coding agents side by side with rich tool visualization, MCP int. It is categorized as a MCP Server with 374 GitHub stars.
harnss is primarily written in TypeScript. It covers topics such as agent-client-protocol, agentclientprotocol, ai.
You can find installation instructions and usage details in the harnss GitHub repository at github.com/OpenSource03/harnss. The project has 374 stars and 41 forks, indicating an active community.
harnss is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to harnss on Agent Skills Hub include getspecstory, ccmanager, Overture. 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: