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 guangshu100 · Agent Tool · ★ 242
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is BidMaster-Pro safe to install? View the security audit →
BidMaster Pro - 全流程智能招投标平台 AI 智能招投标助手 · 标书生成 · 投标生成 · 投标检查 · 文档排版 全流程自动化 功能特性 • 界面预览 • 技术架构 • 快速开始 • 项目结构 • 联系作者 🚀 全流程智能招投标 Agent:4 阶段流水线(招标解读 / 投标生成 / 投标检查 / 文档排版),多 Agent 协同 + 可编排工作流,21 项专业合规检查规则、多 LLM 供应商灵活切换(DeepSeek / 硅基流动 / OpenAI / 通义等),轻量级 Skill 引擎 + 可插拔能力,RAG 知识库(支持语义重排与公司画像过滤),MinerU 扫描件 OCR 抽取,商机监控 + 今日热点聚合,桌面客户端 / 服务端 / Docker 一键部署。喜欢给个 ⭐ Star! 📋 项目简介 BidMaster Pro 是基于 AI Agent 架构的全流程智能招投标平台。通过 LLM(大语言模型)、RAG(检索增强生成)和 Skill Engine(技能引擎)三大核心引擎,实现从招标文件解读、投标书自动生成、合规性检查到文档排版输出的完整工作流自动化。 智能标书生成: 自动理解招标文件,一键生成高质量投标书 投标流程自动化: 大纲生成、内容填充、格式排版一键完成 21 项合规检查: 保证金 / 签字盖章 / 有效期 / 一致性 / 重复率 / 价格合理性等全方位审核 多 LLM 灵活切换: DeepSeek / 硅基流动 / OpenAI / 通义千问 / Ollama 本地模型,可热切换 RAG 知识库: 企业资料 / 历史标书向量化存储 + 语义重排 + 公司画像过滤 商机监控: 招投标公告自动抓取 + 今日热点聚合 + 关键词精准匹配 📸 界面预览 . It makes it easy to plug in differen
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BidMaster-Pro is 全流程 智能招投标 Agent:标书生成 · 招投标解读 · 标书检查 · 标书文档ai排版 · 商机发现 一键完成。 21 项合规检查 · 多模型切换 · RAG 知识库 · OCR 抽取。 从招标公告到可交付 docx 文档,全流程 AI 自动化。. It is categorized as a Agent Tool with 242 GitHub stars.
BidMaster-Pro is primarily written in Python. It covers topics such as agent-skills, agentic-workflow, ai-agent.
You can find installation instructions and usage details in the BidMaster-Pro GitHub repository at github.com/guangshu100/BidMaster-Pro. The project has 242 stars and 66 forks, indicating an active community.
BidMaster-Pro is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to BidMaster-Pro on Agent Skills Hub include vm0, Mysti, pdf-reader-mcp. 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.
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