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 majiayu000 · MCP Server · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is harness safe to install? View the security audit →
Harness An orchestration layer for AI coding agents — govern, observe, and improve agent workflows at scale. Documentation · Contributing · Security <img src="docs/images/harness-card.png" alt="Harness reposito
| Stars | 82 |
| Forks | 5 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.4562950631368/100 |
| Open Issues | 11 |
| Last Updated | 2026-10-03 |
| Created | 2026-03-02 |
| Platforms | claude-code, cli, codex, mcp, rust |
| Est. Tokens | ~26k |
These tools work well together with harness for enhanced workflows:
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harness is Run fleets of parallel coding agents with governance — Rust control plane for Claude Code & Codex: orchestration, policy, cross-agent review, observability.. It is categorized as a MCP Server with 82 GitHub stars.
harness is primarily written in Rust. It covers topics such as ai-agent, ai-tools, claude-code.
You can find installation instructions and usage details in the harness GitHub repository at github.com/majiayu000/harness. The project has 82 stars and 5 forks, indicating an active community.
harness is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to harness on Agent Skills Hub include claude-code-open, sub-agents-mcp, deterministic-agent-control-protocol. 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: