AI & LLMs
Anthropic-Cybersecurity-Skills · Chinese Guide
agent / toolchain in AI & LLMs: Python, Apache-2.0, GitHub stars 35.4k
About this listing
- Role: agent / toolchain for developers integrating models into real toolchains
- Stack: Python; difficulty medium-high
- License: Apache-2.0 (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: last push about 63 days ago
Problem: wires model calls, tool routing and context handling into one executable loop, focused on LLM and MCP. Audience: developers integrating models into real toolchains. Stack & setup: Python, prepare an API key or local inference endpoint, register tools and scopes, then dry-run in a sandbox, difficulty medium-high. Difference: public stars are above 1k, showing at least one round of community validation. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | Apache-2.0 |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · ai-agents · claude-code · cloud-security |
| GitHub stars | 35.5k |
| Last push | 2026-08-31 |
| Source | https://github.com/mukul975/Anthropic-Cybersecurity-Skills |
| Homepage | https://mahipal.engineer/Anthropic-Cybersecurity-Skills/ |
| Docs | https://github.com/mukul975/Anthropic-Cybersecurity-Skills#readme |
| Demo | https://mahipal.engineer/Anthropic-Cybersecurity-Skills/ |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件，共 9 个章节：
- 一句话定位
- 公开事实元数据（抓取时快照）
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | Python |
|---|---|
| Platform / topics | ai-agents · claude-code · cloud-security |
| License | Apache-2.0 |
FAQ
买到的是什么形式？
一份 Markdown 交付文件，含 9 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群 等），付款后生成带授权码的下载文件。
许可证是否允许商用？
元数据记录为 Apache-2.0；具体商用范围以原仓库 LICENSE 原文为准，本店不额外授予权利。
项目还在维护吗？
最近一次上游提交：2026-08-31，数据抓取时间 2026-11-04。
需要什么运行环境？
主要语言 Python；其余依赖以包内依赖清单为准。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| OpenMontage · 决策备忘卡 | ¥3.9 | AGPL-3.0 | 2026-11-03 |
| system_prompts_leaks · 导航评测卡 | ¥3.9 | CC0-1.0 | 2026-11-04 |
| generative-ai-for-beginners · 决策备忘卡 | ¥3.9 | MIT | 2026-11-02 |