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 op7418 · Agent Tool · ★ 277
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pilot-harness safe to install? View the security audit →
Pilot Harness English | 中文 A CodePilot-inspired desktop client and plugin suite for DeepSeek Harness. Run the DeepSeek Harness plugin runtime as a focused native app, manage providers and multimodal models visually, and keep desktop additions isolated as ordinary Harness plugins. Quick start · Plugins · Architecture · MIT License Why Pilot Harness DeepSeek Harness has a powerful “everything is a plugin” architecture, but its default experience is designed around a CLI-launched Web UI. Pilot Harness keeps that runtime model and adds the parts expected from a daily desktop product: A real desktop app — Electron packages the local Harness runtime for macOS, Windows, and Linux, owns native window behavior, and provides a recovery
| Stars | 277 |
| Forks | 19 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.6573736669182/100 |
| Open Issues | 19 |
| Last Updated | 2026-09-10 |
| Created | 2026-08-17 |
| Platforms | cli, node |
| Est. Tokens | ~17k |
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pilot-harness is Pilot Harness — a CodePilot-inspired desktop client and plugin suite for DeepSeek Harness on macOS, Windows, and Linux.. It is categorized as a Agent Tool with 277 GitHub stars.
pilot-harness is primarily written in TypeScript. It covers topics such as ai-agent, codepilot, deepseek.
You can find installation instructions and usage details in the pilot-harness GitHub repository at github.com/op7418/pilot-harness. The project has 277 stars and 19 forks, indicating an active community.
pilot-harness is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pilot-harness on Agent Skills Hub include wesight, pawwork, cetus. 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: