by QVerisAI · Agent Tool · ★ 1.8k
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. Full audit →
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 | 1,813 |
| Forks | 71 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-22 |
| Created | 2026-02-03 |
| Platforms | python |
| Est. Tokens | ~15k |
QVerisFlow 基于 LangGraph 的多智能体框架，支持对话式工作流构建、可视化画布编辑、智能 Agent 生成和实时执行监控。 核心特性 对话式工作流构建 - 通过自然语言对话创建、修改、迭代工作流 可视化 Web UI - 现代化的 React 界面，支持画布拖拽、节点编辑、实时状态展示 智能 Agent 生成 - Meta Agent 自动分析任务并生成最优 Agent 定义 多模型支持 - 灵活配置多种 LLM（Qwen、DeepSeek、GPT、GLM 等） 实时执行监控 - WebSocket 实时推送执行进度，支持暂停、恢复、干预 QVeris 集成 - 无缝对接 QVeris 统一数据和工具层 三层验证机制 - 规则验证 + LLM 评判 + 组合验证 架构概览...
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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: