cybersecops_soc

作者 Azarisa0678已验证

skills to use for Claude and others

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2026/8/24
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Azarisa0678/cybersecops_soc

快速入门

使用 cybersecops_soc 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

README.md

🔐 CyberSec-Ops Skill

A comprehensive DevSecOps, SOC, and offensive/defensive security skill for AI agents. Unifies PowerShell offensive scripting with the Python security ecosystem into a single, coherent skill system.

Compatible Compatible Compatible Compatible Spec


📋 Overview

Security operations demand language-agnostic thinking. PowerShell dominates Windows/Active Directory environments. Python dominates Linux/cloud/tooling ecosystems. This skill treats them as complementary forces, not competitors.

DomainPowerShellPythonHybrid
Active Directory Enumeration✅ Native⚠️ Via LDAP✅ PS enum + Python analysis
Network Scanning⚠️ Limited✅ Scapy/Nmap✅ Python scanner + PS validation
Cloud Security✅ Azure✅ AWS/GCP✅ Cross-cloud unified scanner
SIEM Integration⚠️ Limited✅ Full SDKs✅ Python SOAR + PS endpoint response
Malware Analysis⚠️ Live response✅ Full forensics✅ PS collection + Python analysis
DevSecOps Pipelines✅ Windows CI/CD✅ Linux/cloud CI/CD✅ Cross-platform pipelines

📦 What's Inside

SKILL.md (29.5 KB) — The Core

The main skill file with 12 comprehensive sections:

  1. Security Assessment & Reconnaissance — Network, AD, and cloud attack surface
  2. Vulnerability Assessment & Exploitation — Automated scanning, exploitation frameworks
  3. SOC & Defensive Operations — SIEM queries, threat hunting, incident response
  4. DevSecOps Pipeline Integration — CI/CD security gates, SAST/DAST/IaC scanning
  5. Hybrid Python↔PowerShell Automation — Interoperability patterns, cross-platform scripts
  6. Forensics & Malware Analysis — Memory forensics, PE analysis, YARA matching
  7. Threat Intelligence & Automation — MISP, VirusTotal, AbuseIPDB, SOAR platforms
  8. Compliance & Governance — CIS benchmarks, NIST/ISO/SOC2 audit automation
  9. Cloud Security — AWS (Boto3), Azure (SDK), GCP (google-cloud) scanners
  10. Container & Kubernetes Security — Docker, K8s RBAC, network policies
  11. Security Reporting & Visualization — Automated report generation, dashboards
  12. Advanced Topics — Purple team automation, adversary simulation, ML for security

Plus:

  • Language Selection Matrix — When to use PowerShell vs Python
  • Tool Selection Matrix — 20+ security tools mapped to use cases
  • Security Ethics Guidelines — Authorization requirements for all offensive content
  • Gotchas & Critical Considerations — Platform-specific pitfalls

References (40.8 KB total)

FileSizeContent
powershell-offensive.md14.7 KBPowerView, Kerberoasting, AS-REP, ACL abuse, BloodHound, lateral movement, persistence, defense evasion, obfuscation
python-security-ecosystem.md16.1 KBScapy, Impacket, Volatility3, YARA, pefile, MISP, VirusTotal, Splunk, Elastic, TheHive, AWS/Azure/GCP SDKs, Docker, Kubernetes, sklearn, PyTorch
devsecops-pipelines.md3.1 KBGitLab CI, GitHub Actions, Bandit, Semgrep, Trivy, Checkov, tfsec
soc-workflows.md1.9 KBSplunk SPL, Elastic KQL, Azure Sentinel KQL, alert triage, IR playbooks
hybrid-automation.md2.3 KBPython↔PowerShell subprocess patterns, REST API bridges, cross-platform reconnaissance
cloud-security.md1.0 KBScoutSuite, Prowler, Pacu, CloudMapper, Azure Security Center, Forseti
forensics-malware.md0.8 KBVolatility3, Plaso, Autopsy, YARA, PE analysis, artifact collection

Scripts (8 files, 8.7 KB)

ScriptLanguagePurpose
recon-universal.pyPythonCross-platform host reconnaissance (Windows via PowerShell, Linux native)
ad-enum.ps1PowerShellActive Directory enumeration toolkit (users, groups, trusts, GPOs, Kerberoast targets)
vuln-scan-orchestrator.pyPythonMulti-scanner orchestration (Nuclei + Nmap async)
sigma-converter.pyPythonSigma rule conversion to Splunk SPL, Elastic KQL, Sentinel KQL
ioc-enricher.pyPythonThreat intelligence enrichment (VirusTotal, AbuseIPDB)
compliance-audit.pyPythonMulti-framework compliance scanner template
incident-response.ps1PowerShellWindows IR automation (artifact collection, host isolation)
security-report-generator.pyPythonAutomated HTML/Markdown report generation

🚀 Installation

Kimi (Primary Target)

Method 1: Via /skill-creator (Recommended)

  1. Open Kimi Agent Mode (Web, App, or Kimi Claw)
  2. Type in chat: /skill-creator
  3. Upload SKILL.md or paste its contents
  4. Kimi will guide you through refinement questions
  5. The skill appears in Skills Panel → Custom Skills

Method 2: Document Upload

  1. Go to Skills Panel → Office Document to Skill
  2. Upload SKILL.md (max 3 files, 100 MB each)
  3. Add description: "DevSecOps and cybersecurity operations covering offensive/defensive security, SOC workflows, and hybrid PowerShell-Python automation"
  4. Click Create Skill

Method 3: Kimi Claw (Desktop)

  1. Open Kimi Claw
  2. Navigate to Skills → Clawhub Skill Library
  3. Skills auto-sync between Web and Desktop via your Kimi account

Claude Code

# Clone to Claude's skills directory
git clone https://github.com/YOUR_USERNAME/cybersec-ops-skill.git
cp -r cybersec-ops-skill/cybersec-ops ~/.claude/skills/

# Or symlink for development
ln -s $(pwd)/cybersec-ops ~/.claude/skills/cybersec-ops

OpenAI Codex CLI

# Copy to Codex skills directory
cp -r cybersec-ops ~/.codex/skills/

# Or install via skills.sh (if available)
skills.sh install YOUR_USERNAME/cybersec-ops-skill

Cursor

cp -r cybersec-ops ~/.cursor/skills/

Gemini CLI

cp -r cybersec-ops ~/.gemini/skills/

🎯 How It Works

When you send a request, Kimi Agent assesses whether the task involves cybersecurity. If so, it automatically loads this skill and follows its instructions.

Auto-trigger keywords:

  • Security operations, SOC, threat hunting, incident response
  • Vulnerability assessment, penetration testing, red team, blue team, purple team
  • DevSecOps, security automation, security scanning, SIEM, log analysis
  • Forensics, malware analysis, network security, cloud security
  • Identity security, compliance scanning, security hardening, security audit
  • PowerShell offensive scripting, Python security ecosystem
  • Container security, Kubernetes security, IaC security

Example Interactions

You AskSkill Response
"Scan my AWS for misconfigurations"Loads cloud-security.md, generates Boto3 scanner code
"Write a PowerShell AD enum script"Loads powershell-offensive.md, provides PowerView patterns
"Build a DevSecOps pipeline"Loads devsecops-pipelines.md, outputs GitLab CI YAML
"Detect anomalies in SIEM logs"Loads soc-workflows.md, writes Splunk/Elastic queries
"Analyze a memory dump"Loads forensics-malware.md, generates Volatility3 commands
"Combine Python and PowerShell"Loads hybrid-automation.md, provides interoperability patterns

🧪 Test Prompts

Verify the skill works with these prompts:

1. "Scan my AWS infrastructure for security misconfigurations"
2. "Write a PowerShell script to enumerate Active Directory users"
3. "Create a Python tool for network reconnaissance with Scapy"
4. "Build a DevSecOps pipeline with SAST and container scanning"
5. "How do I detect anomalous login patterns in my SIEM?"
6. "Analyze a memory dump for malware indicators"
7. "Convert this Sigma rule to Splunk SPL and Elastic KQL"
8. "Write a compliance audit script for CIS benchmarks"
9. "Check my Kubernetes cluster for privileged pods"
10. "Create a threat hunting playbook for lateral movement"

🛡️ Security Ethics

This skill contains offensive security techniques for authorized testing only.

All code examples include:

  • ✅ Explicit authorization requirements
  • ✅ Scope documentation templates
  • ✅ Responsible disclosure guidelines

Never use offensive techniques without explicit written authorization.

The skill follows the principle: "Teach defense by understanding offense" — every attack vector is paired with detection and mitigation guidance.


📊 Skill Specification

name: cybersec-ops
version: 1.0.0
category: security-operations
languages: [python, powershell, bash]
domains:
  - devsecops
  - soc
  - offensive-security
  - defensive-security
  - cloud-security
triggers:
  - security operations
  - penetration testing
  - threat hunting
  - incident response
  - vulnerability assessment
  - malware analysis
  - forensics
  - compliance audit
  - siem
  - devsecops
  - container security
  - kubernetes security
  - cloud security
  - active directory
  - powershell offensive
  - python security

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-addition)
  3. Commit your changes (git commit -am 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-addition)
  5. Open a Pull Request

Areas for Contribution

  • Additional SIEM query patterns (QRadar, Chronicle, Splunk ES)
  • More cloud provider coverage (OCI, Alibaba Cloud, IBM Cloud)
  • Windows-specific defensive PowerShell modules
  • MITRE ATT&CK mapping for all techniques
  • Sigma rule library expansion
  • Container escape detection patterns

📜 License

MIT License — See LICENSE file.

This skill is provided for educational and authorized security testing purposes only. The authors assume no liability for misuse.


🌐 Open-Source Skill Marketplaces

PlatformURLHow to Submit
SkillsMPhttps://skillsmp.comUpload ZIP or link GitHub repo
SkillsLLMhttps://skillsllm.comBrowse and install via web UI
LobeHubhttps://lobehub.com/skillsUpload SKILL.md package

🙏 Acknowledgments

  • Agent Skills Specification — The open standard enabling cross-platform skill compatibility
  • Kimi — For the skill system architecture and Agent Mode
  • The cybersecurity community — For the tools, frameworks, and knowledge that power this skill

Built for defenders who understand offense. Powered by AI. Unified by code.

⬇ Download ZIP · 📖 SKILL.md · 🐛 Issues

常见问题

What is cybersecops_soc?

cybersecops_soc is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Azarisa0678. skills to use for Claude and others. It has 1 GitHub star.

Is cybersecops_soc safe to use?

Yes. cybersecops_soc passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install cybersecops_soc?

Clone the repository with "git clone https://github.com/Azarisa0678/cybersecops_soc" and add it to your Claude Code skills directory (see the Installation section above). cybersecops_soc ships a SKILL.md manifest, so compatible agents can discover and load it automatically.

What programming language is cybersecops_soc written in?

cybersecops_soc is primarily written in Python. It is open-source under Azarisa0678 on GitHub, so you can review or fork the full source.

Are there alternatives to cybersecops_soc?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh cybersecops_soc against similar tools.

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