Agentes de IA
VibeVoice
Open-Source Frontier Voice AI
★ 54,6 mil estrelasMIT
Ver o guia →LibreAI / Agentes de IA / Anthropic-Cybersecurity-Skills
// agents · mukul975/Anthropic-Cybersecurity-Skills
Anthropic-Cybersecurity-Skills
Anthropic-Cybersecurity-Skills é um projeto de agentes de IA de código aberto de mukul975 (mukul975/Anthropic-Cybersecurity-Skills no GitHub). Tem 33.752 estrelas no GitHub e 4.089 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 31 de agosto de 2026.
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fr…
★ 33,8 mil estrelas⑂ 4,1 mil forksApache-2.0atualizado ago 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto
Dados do projeto
- Repositório
- mukul975/Anthropic-Cybersecurity-Skills
- Estrelas no GitHub
- 33.752
- Forks
- 4.089
- Licença
- Apache-2.0
- Última atualização no GitHub
- 31 de agosto de 2026
- Categoria
- Agentes de IA
- Tipo de ficha
- Guia de instalação completo
- Site oficial
- Official site
// como funciona
Como funciona
- Define the job
Research, coding, browsing, or ops — agents work best with a clear goal.
- Pick a framework
From no-code builders to code-first SDKs, match complexity to the task.
- Give it tools
Web search, code execution, and APIs are what make agents useful.
- Run and supervise
Watch the trace, approve consequential actions, iterate.
// recursos
Por que as pessoas gostam tanto
LLM-powered
Large language models drive its smartest features, locally or via API.
Model agnostic
Swap frontier models as better ones appear.
Observability
Traces show exactly what the agent did and why.
Human in the loop
Approval gates for actions that matter.
Memory
Long-term memory across sessions, not goldfish chat.
Multi-agent teams
Specialized agents collaborate on bigger jobs.
Advertisement
// execute você mesmo
Execute você mesmo
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git cd Anthropic-Cybersecurity-Skills - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// casos de uso
O que você pode criar
- Automate deep research tasks.
- Let agents write and test code.
- Build support bots that actually act.
- Orchestrate multi-step business ops.
Advertisement
// perguntas frequentes
Perguntas frequentes
Who maintains Anthropic-Cybersecurity-Skills?
It is an open-source project at mukul975/Anthropic-Cybersecurity-Skills with 4,089 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is Anthropic-Cybersecurity-Skills free for commercial use?
Apache 2.0 licensed — commercial use allowed with attribution.
Are agents reliable enough?
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
How do I keep them safe?
Sandboxing, approval gates, and least-privilege credentials.
Do I need to code?
Builders exist, but code-first frameworks go further.
// continue explorando
Ferramentas semelhantes
Agentes de IA
ToolJet
Open-source foundation of ToolJet AI - the enterprise app generation platform for internal tools, dashboards, business applications, workflows and AI agents.…
★ 41,0 mil estrelasAGPL-3.0
Ver o guia →Agentes de IA
TencentDB-Agent-Memory
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill,…
★ 27,7 mil estrelasUnknown
Ver o guia →Agentes de IA
Memori
Agent-native memory infrastructure - structured, persistent memory for production agents
★ 17,1 mil estrelasNOASSERTION
Ver o guia →Agentes de IA
mcp-toolbox
Google's MCP Toolbox for Databases - give agents safe, structured access to your data
★ 16,6 mil estrelasApache-2.0
Ver o guia →Agentes de IA
hexstrike-ai
MCP server letting AI agents run 150+ cybersecurity tools for authorized pentesting and research.
★ 12,5 mil estrelasMIT
Ver o guia →// alternativas
Alternativas em Agentes de IA
Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se Anthropic-Cybersecurity-Skills não for o ideal para você.
- openclaw★ 391,6 mil
A personal AI that really does things — on any OS, with your data staying yours.
- superpowers★ 294,9 mil
An agentic skills framework & software development methodology that works.
- ECC★ 275,2 mil
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
- hermes-agent★ 252,0 mil
The agent that grows with you — a Python framework for adaptive AI agents.
- deepseek-harness★ 245,5 mil
DeepSeek's plugin-based agent harness where everything is a plugin.
// mais em agents
Mais em Agentes de IA
Projetos de Agentes de IA próximos no catálogo, os mais próximos em estrelas de Anthropic-Cybersecurity-Skills: continue explorando dos dois lados dele.
- ChatDev★ 34,6 mil
ChatDev — zero-code multi-agent platform (DevAll) for developing everything, from software to research, Apache-2.0
- openclaude★ 33,7 mil
A Claude Code-style coding agent that runs anywhere and works with almost any model provider
- qdrant★ 35,0 mil
A high-performance vector search engine for next-gen AI.
- github-mcp-server★ 33,4 mil
GitHub's official MCP server — let AI tools work with repos, issues and pull requests
- QwenPaw★ 35,5 mil
Your personal AI assistant — self-host it, chat anywhere, extend everything.
- agentscope★ 32,9 mil
Build and run agents you can see, understand and trust — framework plus a visual agent service
Baixe o Anthropic-Cybersecurity-Skills
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.