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 1Panel-dev · Codex Skill · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is CordysCRM safe to install? View the security audit →
Cordys CRM 新一代的开源 AI CRM 系统 什么是 Cordys CRM？ Cordys CRM 是新一代的开源 AI CRM 系统，是集信息化、数字化、智能化于一体的「客户关系管理系统」，由 飞致云 匠心出品。 Cordys CRM 能够帮助企业实现从线索到回款（L2C）的全流程精细化管理，覆盖线索获取、智能分配、客户与联系人管理、商机跟进、合同签约及回款执行，构建端到端的销售运营闭环。 核心优势 灵活配置 · 高效协同：现代化架构，操作简洁流畅；精细权限与模块化配置，无缝集成主流办公平台，赋能团队高效协同； 安全自主 · 深度可控：私有化部署，数据100%自主可控；开放API与标准接口，支持深度集成与定制开发，筑牢安全与发展基石； 智能 BI · 决策赋能：深度融合 DataEase 分析引擎，销售数据可视化呈现；支持自助探索与实时洞察，驱动精准决策与业绩增长； AI 赋能 · 智能提效：开放 CRM Skills 接口，赋能 OpenClaw AI 销售助理 7×24 小时智能服务；提升销售全流程效率与决策质量。 快速开始 安装部署 准备一台 Linux 服务器，安装好 [Docker](https://docs.
| Stars | 2,732 |
| Forks | 562 |
| Language | Java |
| Category | Codex Skill |
| Quality Score | 55.5028821086174/100 |
| Open Issues | 47 |
| Last Updated | 2026-09-20 |
| Created | 2025-08-24 |
| Platforms | java |
| Est. Tokens | ~17k |
These tools work well together with CordysCRM for enhanced workflows:
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CordysCRM is 🔥 Cordys 是由飞致云匠心打造的新一代的开源 AI CRM 系统，深度融合信息化、数字化与智能化能力，支持私有化部署，全面保障企业数据安全与主权。. It is categorized as a Codex Skill with 2.7k GitHub stars.
CordysCRM is primarily written in Java. It covers topics such as ai-crm, cordys, crm.
You can find installation instructions and usage details in the CordysCRM GitHub repository at github.com/1Panel-dev/CordysCRM. The project has 2.7k stars and 562 forks, indicating an active community.
The top alternatives to CordysCRM on Agent Skills Hub include deepbot, macro, claw-eval. 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: