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 openocta · Codex Skill · ★ 3.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openocta safe to install? View the security audit →
OpenOcta 八爪鱼 —— 开源企业级 AI Agent；单一二进制，随处部署，快速使用，对接企业。 English | 简体中文 OpenOcta 完全自研为 单一 Go 二进制后端 + 内嵌前端，适用于企业内的智能对话、流程自动化，以及业务系统、API 与工具链的整合。 热烈欢迎大家对该项目提交PR或者好的意见 项目简介 定位：在企业内提供统一的 AI Agent 运行时与控制面，可接入业务系统、HTTP/API、MCP 工具与自定义技能，支持对话、任务编排与自动化集成。 形态：一个包含 Gateway、Agent、Channels、Cron、前端静态资源的单一二进制，可通过 CLI、HTTP/WebSocket、Webhook 等方式对接外部系统。 交流与反馈 讨论与使用经验分享：欢迎加入八爪鱼讨论群，交流部署实践、集成场景与最佳实践。 问题反馈与需求建议：可以在群内提问或反馈使用问题，也欢迎在 Git 仓库中提交 Issue / PR。 扫码加入 OpenOcta 讨论群，获取最新动态与问题支持 快速开始 环境要求 Go 1.24+（用于构建后端） Node ≥18（仅构建时用于编译前端，生产环境无需 Node） 环境变量 （使用 命令时需要） 构建与启动 Gateway Gateway 默认监听 ，HTTP 与 WebSocket 共用同一端口，前端已通过 go:embed 内嵌在二进制中，直接通过浏览器访问即可使用 Control UI。 开发模式（前端热更新） 浏览器访问 即可调试前端。 使用 Agent CLI bash export ANTHROPICAPIKEY=your-key ./openocta agent -
| Stars | 2,974 |
| Forks | 353 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 59.8873243056025/100 |
| Open Issues | 31 |
| Last Updated | 2026-08-04 |
| Created | 2026-02-26 |
| Platforms | cli, node |
| Est. Tokens | ~14k |
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openocta is 国产开源的桌面级智能体，信创安全，适用于电脑办公、文档处理、IT运维与安全、市场营销等场景。. It is categorized as a Codex Skill with 3.0k GitHub stars.
openocta is primarily written in TypeScript. It covers topics such as ai, ai-agent, ai-assistants.
You can find installation instructions and usage details in the openocta GitHub repository at github.com/openocta/openocta. The project has 3.0k stars and 353 forks, indicating an active community.
openocta is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to openocta on Agent Skills Hub include Raven, MemOS, PraisonAI. 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: