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 ai-boost · MCP Server · ★ 4.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-harness-engineering safe to install? View the security audit →
Awesome Harness Engineering Curated resources, patterns, and templates for building reliable AI agent harnesses. Deutsch | English | Español | Fr
| Stars | 4,399 |
| Forks | 559 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 55.9534840682948/100 |
| Open Issues | 209 |
| Last Updated | 2026-09-20 |
| Created | 2026-03-29 |
| Platforms | mcp, python |
| Est. Tokens | ~25k |
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awesome-harness-engineering is Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.. It is categorized as a MCP Server with 4.4k GitHub stars.
awesome-harness-engineering is primarily written in Python. It covers topics such as agent-harness, agent-memory, agent-orchestration.
You can find installation instructions and usage details in the awesome-harness-engineering GitHub repository at github.com/ai-boost/awesome-harness-engineering. The project has 4.4k stars and 559 forks, indicating an active community.
The top alternatives to awesome-harness-engineering on Agent Skills Hub include WrenAI, holaOS, honcho. 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: