痛点分析发布于 2026/05/26
痛点为 AI 基于上游原始证据的初步提炼；未包含额外中国市场检索。
痛点
在网络安全领域，安全团队需要将威胁情报、攻击检测和响应动作与多个标准框架（如MITRE ATT&CK、NIST CSF）对齐，但现有流程中这些框架的知识分散在不同文档和工具中，手动映射耗时且容易出错。安全分析师在编写检测规则、进行威胁狩猎或事件响应时，需要反复查阅框架定义并确保覆盖所有相关技术，这种重复劳动降低了效率，且容易遗漏关键攻击路径，导致安全防护出现盲区。此外，不同AI代理工具（如Claude Code、GitHub Copilot）缺乏统一的安全技能标准，使得自动化安全任务时难以保证一致性和准确性，增加了协作成本和决策延迟。
README
README summary
<p align="center" <img src="assets/banner.png" alt="Anthropic Cybersecurity Skills" width="100%" </p
Repository
Repository metadata
- Owner
- mukul975
- License
- Apache-2.0
- Default branch
- main
- Days since created
- 90
- Days since last push
- 13
- Funding
- available
Signals
Repository signals
- Watchers
- 10,029
- Open issues
- 17
- Has funding
- Yes
- Funding platforms
- github, custom
Topics
ai-agentsclaude-codecloud-securitycybersecuritydevsecopsethical-hackingincident-responseinfosecllmmalware-analysismcpmitre-attacknist-csfosintpenetration-testingred-teamsecuritysecurity-automationthreat-huntingthreat-intelligence
Contributors
Contributor snapshot
- Contributor count
- 3
- Top contributor share
- 0.904
- Top contributors
- mukul975, juliosuas, claude[bot]
源数据· Raw Archive
- source
- GitHub Trending
- upstream_source
- github_trending
- upstream_item_id
- mukul975--Anthropic-Cybersecurity-Skills
- daily_ranking_item_id
- 62e5cdde-4589-49ba-90d1-137ac98e771b
- rank_date
- 2026-05-27
- rank
- 5
- name
- Anthropic-Cybersecurity-Skills
- tagline
- 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
- description
- 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
- votes_count
- 10,029
- thumbnail_url
- https://github.com/mukul975.png
- og_image_url
- https://github.com/mukul975.png
topics
ai-agentsclaude-codecloud-securitycybersecuritydevsecopsethical-hackingincident-responseinfosecllmmalware-analysismcpmitre-attacknist-csfosintpenetration-testingred-teamsecuritysecurity-automationthreat-huntingthreat-intelligence
media / source-specific data
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data-hydro-click=\"{"event_type":"explore.click","payload":{"click_context":"TRENDING_REPOSITORIES_PAGE","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":1166506614,"originating_url":"https://github.com/trending?since=daily","user_id":null}}\" data-hydro-click-hmac=\"5aa97003325e05f60ee055c3828115b585d0ec17e0d071336e4f61260a54256c\" href=\"/mukul975/Anthropic-Cybersecurity-Skills\" data-view-component=\"true\" class=\"Link\"><svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo mr-1 tmp-mr-1 color-fg-muted\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 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1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg>\n 871 stars today\n</span> </div>",
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