security-automation

security-automation is a skill for Claude Code, Codex from liuxinye23/CyberStrikeAI. It costs 13 tokens per session (2,156 once invoked), scanned A, original, Apache-2.0.

A security-automation guide for organising repeated vulnerability scans, security tests, incident responses, and compliance checks.

In plain words
What is it for?
Use it to plan scans with tools such as Nessus or OpenVAS, automate security and regression tests, respond to detected incidents, and check configurations against policies.
Why use it?
It helps reduce manual security work and provides repeatable ways to detect issues, collect evidence, generate reports, and suggest fixes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan scans with tools such as Nessus or OpenVAS, automate security and regression tests, respond to detected incidents, and check configurations against policies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/liuxinye23/cyberstrikeai/security-automation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add liuxinye23/CyberStrikeAI --skill security-automation
Clone the repo
git clone --depth 1 https://github.com/liuxinye23/CyberStrikeAI

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for security-automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/security-automation/github.svg)](https://agentmods.dev/skills/liuxinye23/cyberstrikeai/security-automation)
Your own site
<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/security-automation"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/security-automation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for security-automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/security-automation"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/security-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,156 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00013 $0.02156
Opus 5 $0.00006 $0.01078
Sonnet 5 $0.00003 $0.00431
Haiku 4.5 $0.00001 $0.00216

Measured 9d ago against content hash 0ffb9476c146, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

security-automation scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.post(url, json=data, headers=headers)

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(
skills/security-automation/SKILL.md · 383 lines

How it starts

The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.

安全自动化

概述

安全自动化是提高安全运营效率的重要手段。本技能提供安全自动化的方法、工具和最佳实践。

自动化场景

1. 漏洞扫描

自动化扫描:

  • 定期扫描
  • CI/CD集成
  • 结果分析
  • 报告生成

2. 安全测试

自动化测试:

  • 单元测试
  • 集成测试
  • 安全测试
  • 回归测试

3. 事件响应

自动化响应:

  • 事件检测
  • 自动遏制
  • 通知告警
  • 证据收集

4. 合规检查

自动化合规:

  • 配置检查
  • 策略验证
  • 报告生成
  • 修复建议

工具和框架

漏洞扫描自动化

使用Nessus API:

import requests

# 创建扫描
def create_scan(target, scan_name):
    url = "https://nessus:8834/scans"
    headers = {"X-ApiKeys": "access_key:secret_key"}
    data = {
        "uuid": "template-uuid",
        "settings": {
            "name": scan_name,
            "text_targets": target
        }
    }
    response = requests.post(url, json=data, headers=headers)
    return response.json()

# 启动扫描
def launch_scan(scan_id):
    url = f"https://nessus:8834/scans/{scan_id}/launch"
    headers = {"X-ApiKeys": "access_key:secret_key"}
    response = requests.post(url, headers=headers)
    return response.json()

使用OpenVAS API:

from gvm.connections import UnixSocketConnection
from gvm.protocols.gmp import Gmp

# 连接OpenVAS
connection = UnixSocketConnection()
gmp = Gmp(connection)
gmp.authenticate('username', 'password')

# 创建扫描任务
target = gmp.create_target(name='target', hosts=['192.168.1.0/24'])
config = gmp.get_configs()[0]
scanner = gmp.get_scanners()[0]

task = gmp.create_task(
    name='scan_task',
    config_id=config['id'],
    target_id=target['id'],
    scanner_id=scanner['id']
)

# 启动扫描
gmp.start_task(task['id'])

CI/CD集成

Jenkins Pipeline:

pipeline {
    agent any
    stages {
        stage('Security Scan') {
            steps {
                sh 'npm audit'
                sh 'snyk test'
                sh 'sonar-scanner'
            }
        }
        stage('Vulnerability Scan') {
            steps {
                sh 'nmap --script vuln target'
            }
        }
    }
    post {
        always {
            publishHTML([
                reportDir: 'reports',
                reportFiles: 'report.html',
                reportName: 'Security Report'
            ])
        }
    }
}

Read the full file on GitHub · 383 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 383 lines · 13 tokens per session scan A 0ffb9476c146

Subscribe to this mod's changes

security-automation is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 2,156 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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