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Agent Skill · 运维和基础设施

security-incident-reporting(安全事件报告)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

security-incident-reporting 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描已通过,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 931。

总安装 1,148周安装 46GitHub Stars 26下载 372核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:security-incident-reporting(安全事件报告)
来源仓库:https://github.com/dirnbauer/webconsulting-skills
仓库路径:skills/security-incident-reporting
安装命令:
npx skills add https://github.com/dirnbauer/webconsulting-skills --skill security-incident-reporting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/dirnbauer/webconsulting-skills --skill security-incident-reporting

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

辅助编写标准化安全事件报告文档。security-incident-reporting 属于运维和基础设施类 Skill,可作为该场景下的辅助能力补充。结构化呈现时间线、影响范围和处置措施。支持符合监管要求的格式化输出(如 GDPR、等保)。敏感信息需脱敏处理,仅用于内部复盘。

可在 Codex、Gemini CLI 等平台生成报告初稿。

来源仓库内路径:skills/security-incident-reporting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dirnbauer/webconsulting-skills --skill securit…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

security-incident-reporting 怎么安装?

在终端执行 npx skills add https://github.com/dirnbauer/webconsulting-skills --skill security-incident…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

security-incident-reporting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

security-incident-reporting 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/dirnbauer/webconsulting-skills --skill security-incident-reporting;npx skills add dirnbauer/webconsulting-skills --skill "security-incident-reporting" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

security-incident-reporting 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

security-incident-reporting 用的人多吗?

公开数据是累计安装 1,148 次,近一周安装 46 次,下载 372 次,GitHub 26 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

security-incident-reporting 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
security-incident-reporting

安全事件报告 · 本页

1,14826执行命令MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Security Incident Reporting

Comprehensive framework for documenting and analyzing security incidents, drawing from NIST SP 800-61 and SANS methodologies.

When to Use

  • After a security incident (DDoS, breach, vulnerability exploitation)
  • Creating post-mortem documentation
  • Communicating with stakeholders (C-level, legal, security teams)
  • Correlating attack patterns with known CVEs
  • Establishing incident response metrics (MTTR, dwell time)

Related Skills


1. Incident Response Framework

NIST SP 800-61 / SANS Harmonization

PhaseNISTSANSDocumentation Focus
1PreparationPreparationRunbooks, contacts, tools
2Detection & AnalysisIdentificationInitial detection, triage
3ContainmentContainmentIsolation actions, timeline
4EradicationEradicationRoot cause removal
5RecoveryRecoveryService restoration
6Post-IncidentLessons LearnedPost-mortem, improvements

Documentation Principle

Logbuch-Prinzip: Document in real-time during the incident, then consolidate into the post-mortem report. Never create reports retrospectively from memory.

2. Severity Rating Systems

NCISS (National Cyber Incident Scoring System)

LevelScoreDescription
Emergency (1)100Nation-state attack, critical infrastructure
Severe (2)80-99Significant impact, data exfiltration
High (3)60-79Service disruption, potential data loss
Medium (4)40-59Limited impact, contained breach
Low (5)20-39Minor incident, no data loss
Baseline (6)0-19Informational, false positive

DDoS Resiliency Score (DRS)

LevelDescriptionTypical Bandwidth
1-2Simple Floods< 1 Gbps
3-4Sophisticated Multi-Vector1-5 Gbps
5-6Advanced (State-Actor Level)5-100 Gbps
7Extreme (Hyper-Volumetric)> 100 Gbps

CVSS Integration

For vulnerability-based incidents, include CVSS v3.1 base score from the security-audit skill.


3. Incident Report Template

Module A: Metadata & Executive Summary

# Security Incident Report

## Metadata
| Field | Value |
|-------|-------|
| Incident ID | SIR-2026-001 |
| Classification | Confidential |
| Status | Closed / Active / Under Investigation |
| Detection Time | 2026-01-21 14:32 UTC |
| Resolution Time | 2026-01-21 15:17 UTC |
| MTTR | 45 minutes |
| Severity | High (NCISS: 65) |
| Lead Analyst | Jane Doe |
| Affected Systems | web-cluster-01, cdn-edge-eu |

## Executive Summary (max 200 words)

On [DATE], our monitoring systems detected [INCIDENT TYPE] targeting [SYSTEMS].
The attack [IMPACT DESCRIPTION]. Through [RESPONSE ACTIONS], normal operations
were restored within [TIMEFRAME]. [DATA IMPACT STATEMENT].

### Business Impact
- Service Availability: [Degraded/Offline for X minutes]
- Data Impact: [None/Potential exposure of X records]
- Financial Impact: [Estimated cost]
- Reputation Impact: [Public/Internal]

Module B: Timeline (Chronological Analysis)

## Incident Timeline

| Time (UTC) | Event | Source | Action Taken |
|------------|-------|--------|--------------|
| 14:32 | Traffic spike detected | Cloudflare Alert | On-call notified |
| 14:35 | 5x baseline traffic confirmed | Grafana | Incident declared |
| 14:38 | Geo-blocking activated | Cloudflare | EU/US traffic filtered |
| 14:42 | Attack vector identified: UDP amplification | DPI Analysis | Null-route for UDP/427 |
| 14:55 | Traffic normalized | Monitoring | Mitigation confirmed |
| 15:17 | All systems stable | Status page | Incident closed |

### Dwell Time Analysis
- Time to Detection (TTD): 0 minutes (automated)
- Time to Containment (TTC): 10 minutes
- Time to Eradication (TTE): 23 minutes
- Time to Recovery (TTR): 45 minutes

Module C: Technical Analysis & IoCs

## Technical Analysis

### Attack Vectors (MITRE ATT&CK)
- T1498: Network Denial of Service
- T1498.001: Direct Network Flood
- T1498.002: Reflection Amplification

### Indicators of Compromise (IoCs)

#### Network Artifacts
| Type | Value | Context |
|------|-------|---------|
| IP Range | 192.0.2.0/24 | Source (spoofed) |
| ASN | AS12345 | Amplification source |
| Port | UDP/427 | SLP Amplification |
| Signature | \x00\x00\x00\x00SLP | Payload pattern |

#### System Artifacts
| Type | Value | Hash (SHA256) |
|------|-------|---------------|
| Modified File | /var/www/shell.php | a1b2c3... |
| New User | backdoor_admin | N/A |
| Cron Job | /tmp/.hidden/beacon | d4e5f6... |

### Root Cause Analysis (5-Whys)
1. Why did the attack succeed? → Amplification ports were exposed
2. Why were ports exposed? → Firewall rules not updated after migration
3. Why weren't rules updated? → No automated validation in deployment
4. Why no automation? → Security review not in CI/CD pipeline
5. Why not in pipeline? → Technical debt, prioritized features

**Root Cause**: Missing security validation in deployment pipeline

4. DDoS Post-Mortem Analysis

Metrics Table

MetricValueThresholdStatus
Peak Bandwidth45 Gbps10 GbpsExceeded
Peak Packets/sec12M PPS5M PPSExceeded
Peak Requests/sec850K RPS100K RPSExceeded
Unique Source IPs145,000N/AAmplification
Attack Duration45 minN/A-
Geographic Spread89 countriesN/AGlobal botnet

Attack Vector Classification

Vector% of TrafficTypeMitigation
UDP Flood60%VolumetricNull-route
SYN Flood25%ProtocolSYN cookies
HTTP Flood15%ApplicationRate limiting

Multi-Vector Detection

Was this a smoke-screen attack?
├── Volumetric attack started: 14:32
├── Application-layer probing detected: 14:38
├── Login brute-force attempts: 14:40-14:45
└── Conclusion: Coordinated multi-vector attack

5. CVE Correlation for DDoS

Map attack signatures to known vulnerabilities for threat intelligence.

Amplification Vector CVE Table

Attack TypePortAmplification FactorCVEDescription
NTP MonlistUDP/123556xCVE-2013-5211NTP mode 7 monlist
MemcachedUDP/1121151,000xCVE-2018-1000115UDP reflection
CLDAPUDP/38970xCVE-2020-9490LDAP reflection
SLPUDP/4272,200xCVE-2023-29552Service Location Protocol
DNSUDP/5354xVariousOpen resolver abuse
SSDPUDP/190030xVariousUPnP reflection
ChargenUDP/19358xCVE-1999-0103Character generator

Analysis Example

## CVE Correlation Analysis

Traffic analysis shows 40% of UDP flood originated from port 427.
Deep Packet Inspection confirmed payloads typical for CVE-2023-29552.

**Conclusion**: Botnet leveraging unpatched VMware ESXi instances as
SLP reflectors. Recommend:
1. Verify our infrastructure is not acting as reflector
2. Block UDP/427 at edge
3. Report to upstream provider

6. Impact Assessment Matrix

Operational Impact

CategoryLevelDescription
AvailabilityCriticalComplete outage for 15 minutes
PerformanceHigh50% degradation for 30 minutes
CollateralMediumAPI gateway affected

Financial Impact

CategoryEstimated Cost
Lost Revenue$15,000
Scrubbing Overage$2,500
Incident Response$5,000 (8 person-hours)
Total$22,500

Reputation Impact

ChannelSeverityAction Required
Social MediaMediumPrepared statement
B2B PartnersLowDirect notification
PressNoneNo external coverage

7. Blameless Post-Mortem

Principles

  1. Focus on systems, not individuals: "Why did the process allow X?" not "Who did X?"
  2. Assume good intentions: Everyone acted with the best information available
  3. Learn, don't punish: Goal is improvement, not blame
  4. Share openly: Publish internally for organizational learning

Post-Mortem Template

## Post-Mortem: [Incident Title]

### What Happened
[Factual description of the incident]

### What Went Well
- Detection was automated (0 min TTD)
- On-call responded within SLA
- Communication was clear

### What Went Wrong
- Firewall rules were outdated
- No alerting for UDP traffic spikes
- Runbook was incomplete

### Action Items
| ID | Action | Owner | Due Date | Status |
|----|--------|-------|----------|--------|
| 1 | Add security validation to CI/CD | @devops | 2026-02-01 | Open |
| 2 | Update runbook with DDoS procedures | @security | 2026-01-28 | Open |
| 3 | Implement UDP traffic alerting | @sre | 2026-02-05 | Open |

### Lessons Learned
- Automated security gates prevent configuration drift
- Regular runbook reviews are essential
- Multi-vector attacks require layered defense

8. Report Distribution

Classification Levels

LevelAudienceContent
ExecutiveC-Level, BoardSummary, business impact, remediation status
TechnicalSecurity Team, SOCFull IoCs, TTPs, forensic details
LegalLegal, ComplianceData impact, regulatory implications
PublicCustomers, PressSanitized summary, no technical details

Retention Requirements

Document TypeRetentionStorage
Full Incident Report7 yearsEncrypted archive
IoC Data2 yearsThreat Intelligence Platform
Logs & Evidence1 yearImmutable storage

9. Checklists

Pre-Incident Preparation

  • Incident response runbooks documented
  • On-call rotation established
  • Communication templates prepared
  • Evidence collection tools ready
  • Stakeholder contact list updated

During Incident

  • Incident declared and logged
  • Timeline documentation started
  • Evidence preserved (logs, packets)
  • Stakeholders notified
  • Status page updated

Post-Incident

  • Full incident report completed
  • Post-mortem meeting scheduled
  • Action items assigned and tracked
  • Lessons learned documented
  • Controls validated/improved

References


Credits & Attribution

This skill draws from the "Handbuch für Advanced Security Incident Reporting" methodology, incorporating elements of NIST SP 800-61, SANS frameworks, and industry best practices.

Developed by webconsulting.at for the Claude skill collection.

Source: https://github.com/dirnbauer/webconsulting-skills

平台分布

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30.32%
按下载量换算113

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22.13%
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OpenCode

19.75%
按下载量换算73

Codex

13.24%
按下载量换算49

Antigravity

7.65%
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Gemini CLI

3.69%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/dirnbauer/webconsulting-skills --skill security-incident-reporting;npx skills add dirnbauer/webconsulting-skills --skill "security-incident-reporting" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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