经 AI Skill Hub 精选评估，Tsec-Hackathon — AI Agent 工作流中文教程 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色，AI 评分 8.2 分，适合有一定技术背景的用户使用。
腾讯云智能渗透黑客松 Official repository of Tencent Cloud Intelligent Penetration Hackathon. Showcasing top open-source projects of LLM-based autonomous penetration agents, including multi-agent collaboration, automated penetration, AI-driven offensive security, and intelligent attack-defense solutions.
Tsec-Hackathon — AI Agent 工作流中文教程 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排，将复杂的多步骤任务拆解为清晰的自动化流程，实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成，适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
腾讯云智能渗透黑客松 Official repository of Tencent Cloud Intelligent Penetration Hackathon. Showcasing top open-source projects of LLM-based autonomous penetration agents, including multi-agent collaboration, automated penetration, AI-driven offensive security, and intelligent attack-defense solutions.
Tsec-Hackathon — AI Agent 工作流中文教程 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排，将复杂的多步骤任务拆解为清晰的自动化流程，实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成，适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一：pip 安装（推荐）
pip install tsec-hackathon
# 方式二：虚拟环境安装（推荐生产环境）
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install tsec-hackathon
# 方式三：从源码安装（获取最新功能）
git clone https://github.com/Yeti-791/Tsec-Hackathon
cd Tsec-Hackathon
pip install -e .
# 验证安装
python -c "import tsec_hackathon; print('安装成功')"
# 命令行使用
tsec-hackathon --help
# 基本用法
tsec-hackathon input_file -o output_file
# Python 代码中调用
import tsec_hackathon
# 示例
result = tsec_hackathon.process("input")
print(result)
# tsec-hackathon 配置文件示例（config.yml） app: name: "tsec-hackathon" debug: false log_level: "INFO" # 运行时指定配置文件 tsec-hackathon --config config.yml # 或通过环境变量配置 export TSEC_HACKATHON_API_KEY="your-key" export TSEC_HACKATHON_OUTPUT_DIR="./output"
腾讯云智能渗透黑客松由腾讯云鼎实验室主办，是国内 首个聚焦 LLM 智能体全流程自动化渗透 的顶级专业赛事。赛事已连续成功举办两届，持续引领「AI + 安全」前沿技术探索与高端安全人才培养方向。赛事秉持 铸刃止戈、以智御危 理念，深度推动大模型与网络安全场景融合创新，探索智能渗透技术落地实践路径，同时面向产学研各界搭建高端 AI 安全竞技舞台，为行业持续输送顶尖 AI 安全实战人才。
###### Tencent Cloud Intelligent Penetration Hackathon, hosted by Tencent Cloud Yunding Lab, is China’s first top-tier professional competition focusing on full-process automated penetration based on LLM agents.Successfully held for two consecutive sessions, the event keeps spearheading cutting-edge exploration in AI + cybersecurity and the cultivation of high-end security talents.Upholding the philosophy of Forging Blades to Defend Threats, Guarding Risks with Intelligence, the competition deeply drives the integrated innovation of large models and cybersecurity scenarios, and explores the practical implementation path of intelligent penetration technologies.It also builds a high-end AI security arena for industry, academia and research communities, continuously delivering top practical AI security talents to the industry.
两届赛事累计汇聚800 + 支战队、千余名顶尖选手，产出 20 套顶尖智能渗透技术框架，形成 “赛事实践 - 技术沉淀 - 开源共享 - 行业赋能” 的良性循环。本板块收录两届赛事线上排名前十优秀团队的开源项目仓库导航，涵盖智能渗透 Agent 的核心设计思路、技术实现细节、实战攻防方案，完整呈现从初代可行性验证到高阶复杂场景落地的技术演进路径，是学习智能渗透技术、掌握 AI 攻防核心能力的权威参考资源。排名严格按两届赛事最终成绩排序，确保技术方案的标杆性与参考价值。
###### Over the two sessions, the event has gathered more than 800 teams and over a thousand top contestants, delivering 20 cutting-edge intelligent penetration technical frameworks. It has formed a virtuous cycle of "Competition Practice – Technology Accumulation – Open Source Sharing – Industry Empowerment". ###### This section collects the repository navigation of open-source projects from the top 10 outstanding teams in the online rankings of the two competitions. It covers the core design concepts, technical implementation details, and practical attack and defense solutions of intelligent penetration Agents. It fully presents the technological evolution path from initial feasibility verification to implementation in advanced complex scenarios, serving as an authoritative reference resource for learning intelligent penetration technology and mastering core AI attack and defense capabilities. ###### All rankings are strictly sorted by the final results of the two competitions to ensure the benchmark value and reference significance of the technical solutions.
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#### _获奖团队答辩PPT下载 <img width="1565" height="741" alt="Clipboard_Screenshot_1778492892" src="https://github.com/user-attachments/assets/71e9e7e6-79dc-471c-b5a4-a06369b09908" />
git clone https://github.com/Yeti-791/Tsec-Hackathon.git
cd Tsec-Hackathon
首期智能渗透黑客松/目录，下载各团队答辩PPT，了解智能渗透Agent设计思路；通过本仓库前十团队项目导航板块，快速访问各团队开源项目。git pull获取最新内容。###### All materials in the repository are only for technical learning and communication in the field of network security. Please abide by the relevant open source agreements of each team when using the open source project resources of each team.
本仓库作为智能渗透Agent领域导航页面，欢迎网络安全从业者参与共建，补充赛事资料与团队项目信息：
该工具未明确声明开源协议，商业使用前请联系原作者确认授权范围，避免侵权风险。
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
AI Skill Hub 点评：Tsec-Hackathon — AI Agent 工作流中文教程 的核心功能完整，质量优秀。对于自动化工程师和运维人员来说，这是一个值得纳入个人工具库的选择。建议先在非生产环境试用，再逐步推广。
| 原始名称 | Tsec-Hackathon |
| 原始描述 | 腾讯云智能渗透黑客松 Official repository of Tencent Cloud Intelligent Penetration Hackathon. Showcasing top open-source projects of LLM-based autonomous penetration agents, including multi-agent collaboration, automated penetration, AI-driven offensive security, and intelligent attack-defense solutions. |
| Topics | ai-pentestingai-securityautonomous-penetrationintelligent-penetrationoffensive-aiagent |
| GitHub | https://github.com/Yeti-791/Tsec-Hackathon |
| 语言 | Python |
收录时间：2026-05-22 · 更新时间：2026-05-22 · License：未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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