by op7418 · Agent Tool · ★ 281
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 281 |
| Forks | 20 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 18 |
| Last Updated | 2026-09-10 |
| Created | 2026-08-17 |
| Platforms | node |
| Est. Tokens | ~17k |
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.
Looking for a pilot-harness alternative? If you're comparing pilot-harness with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and cus
PawWork — free, open-source desktop AI agent for macOS and Windows, built on DeepSeek Harness (DSH). Free mode
🖥️ A native desktop client for OpenClaw premium UI experience without the browser. Built with Electron + Rea
🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without na
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine
Open-source AI meeting copilot - real-time transcription, echo cancellation, and AI assistance. Captures syste
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: