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Agent Skill · 研究检索

incident-response(事件响应)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

incident-response 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 45,042。

总安装 874周安装 35GitHub Stars 18下载 283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
unknown

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:incident-response(事件响应)
来源仓库:https://github.com/bagelhole/devops-security-agent-skills
仓库路径:skills/incident-response
安装命令:
npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill incident-response
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bagelhole/devops-security-agent-skills --skill incident-response

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于应对活跃安全事件,提供取证收集、遏制清除与恢复上线标准化流程。适合构建 IR 剧本、演练红蓝对抗与建立证据链保全机制。可集成 SIEM 告警、EDR 工具与日志聚合平台实现快速定位根源。需设立专用通信频道与证据保管流程,避免原始数据被意外覆盖。事后应输出详细复盘报告,推动工程侧根本原因修复与防御加固。

来源仓库内路径:skills/incident-response

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/bagelhole/devops-security-agent-skills --skill…;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

    它需要需要联网,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

incident-response 怎么安装?

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

incident-response 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。

incident-response 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

incident-response 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

incident-response 用的人多吗?

公开数据是累计安装 874 次,近一周安装 35 次,下载 283 次,GitHub 18 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。

incident-response 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
incident-response

事件响应 · 本页

87418需要联网未明确有提醒

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

Incident Response

Handle security incidents effectively with structured response procedures.

When to Use This Skill

Use this skill when:

  • Responding to an active security incident (breach, malware, unauthorized access)
  • Building incident response playbooks and runbooks
  • Conducting IR tabletop exercises and drills
  • Setting up evidence collection and forensic capabilities
  • Establishing communication protocols for security events
  • Performing post-incident reviews and process improvements

Prerequisites

  • IR team roster with on-call rotation and escalation paths
  • Secure communication channel (separate from production systems)
  • Forensic workstation with analysis tools installed
  • Evidence storage with chain-of-custody controls
  • Legal counsel contact information
  • Pre-authorized incident response actions documented

Incident Response Phases

phases:
  1_preparation:
    - IR team roster and 24/7 contact info
    - Tools and privileged access ready
    - Playbooks documented and tested
    - Evidence collection kit prepared
    - Communication templates drafted

  2_detection:
    - Alert triage and validation
    - Initial assessment and scoping
    - Severity classification
    - Incident ticket creation

  3_containment:
    - Short-term containment (stop bleeding)
    - Evidence preservation (before changes)
    - System isolation (network/host level)
    - Credential rotation if needed

  4_eradication:
    - Root cause analysis
    - Remove threat actor access
    - Patch exploited vulnerabilities
    - Clean compromised systems

  5_recovery:
    - System restoration from clean backups
    - Enhanced monitoring deployment
    - Phased return to production
    - Business continuity verification

  6_lessons_learned:
    - Post-incident review (within 72 hours)
    - Timeline reconstruction
    - Documentation update
    - Process and detection improvements

Severity Classification

LevelImpactResponse TimeExamples
Critical (P1)Active data breach, full outage, ransomwareImmediate (< 15 min)Data exfiltration in progress, ransomware spreading
High (P2)Service degraded, potential breach< 1 hourUnauthorized admin access, malware detected
Medium (P3)Limited impact, contained< 4 hoursPhishing compromise (single user), policy violation
Low (P4)Minimal impactNext business dayFailed brute force, blocked scanning activity

Evidence Collection Scripts

Linux Evidence Collection

#!/bin/bash
# linux-evidence-collect.sh - Collect forensic evidence from a Linux host
# Run with sudo. Preserves evidence with timestamps and hashes.

set -euo pipefail

EVIDENCE_DIR="/evidence/$(hostname)-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$EVIDENCE_DIR"
LOGFILE="$EVIDENCE_DIR/collection.log"

log() { echo "[$(date -u +%Y-%m-%dT%H:%M:%SZ)] $*" | tee -a "$LOGFILE"; }

log "Starting evidence collection on $(hostname)"
log "Collector: $(whoami)"
log "System time: $(date -u)"

# System information
log "Collecting system information..."
uname -a > "$EVIDENCE_DIR/uname.txt"
cat /etc/os-release > "$EVIDENCE_DIR/os-release.txt"
uptime > "$EVIDENCE_DIR/uptime.txt"
date -u > "$EVIDENCE_DIR/system-time.txt"

# Running processes (full command line)
log "Collecting process list..."
ps auxwwf > "$EVIDENCE_DIR/processes.txt"
ps -eo pid,ppid,user,args --sort=-pcpu > "$EVIDENCE_DIR/processes-by-cpu.txt"

# Network connections
log "Collecting network state..."
ss -tulnp > "$EVIDENCE_DIR/listening-ports.txt"
ss -anp > "$EVIDENCE_DIR/all-connections.txt"
ip addr show > "$EVIDENCE_DIR/ip-addresses.txt"
ip route show > "$EVIDENCE_DIR/routes.txt"
iptables -L -n -v > "$EVIDENCE_DIR/iptables.txt" 2>&1 || true
cat /etc/resolv.conf > "$EVIDENCE_DIR/dns-config.txt"

# User activity
log "Collecting user activity..."
last -a > "$EVIDENCE_DIR/login-history.txt"
lastb > "$EVIDENCE_DIR/failed-logins.txt" 2>&1 || true
who > "$EVIDENCE_DIR/currently-logged-in.txt"
w > "$EVIDENCE_DIR/user-activity.txt"
cat /etc/passwd > "$EVIDENCE_DIR/passwd.txt"
cat /etc/shadow > "$EVIDENCE_DIR/shadow.txt" 2>/dev/null || true
cat /etc/group > "$EVIDENCE_DIR/group.txt"

# Scheduled tasks
log "Collecting scheduled tasks..."
for user in $(cut -f1 -d: /etc/passwd); do
  crontab -u "$user" -l 2>/dev/null >> "$EVIDENCE_DIR/crontabs.txt" && \
    echo "--- $user ---" >> "$EVIDENCE_DIR/crontabs.txt"
done
ls -la /etc/cron.* > "$EVIDENCE_DIR/cron-dirs.txt" 2>&1

# File system state
log "Collecting filesystem state..."
find /tmp /var/tmp /dev/shm -type f -ls > "$EVIDENCE_DIR/temp-files.txt" 2>/dev/null
find / -name "*.sh" -mtime -7 -ls > "$EVIDENCE_DIR/recent-scripts.txt" 2>/dev/null
find / -perm -4000 -type f -ls > "$EVIDENCE_DIR/suid-files.txt" 2>/dev/null
find /home -name ".*history" -ls > "$EVIDENCE_DIR/history-files.txt" 2>/dev/null

# Loaded kernel modules
log "Collecting kernel modules..."
lsmod > "$EVIDENCE_DIR/kernel-modules.txt"

# Open files
log "Collecting open files..."
lsof -n > "$EVIDENCE_DIR/open-files.txt" 2>/dev/null

# Systemd services
log "Collecting service state..."
systemctl list-units --type=service --all > "$EVIDENCE_DIR/services.txt"
systemctl list-timers --all > "$EVIDENCE_DIR/timers.txt"

# Log preservation
log "Preserving system logs..."
tar czf "$EVIDENCE_DIR/var-log.tar.gz" /var/log/ 2>/dev/null

# Docker containers (if present)
if command -v docker &>/dev/null; then
  log "Collecting Docker state..."
  docker ps -a > "$EVIDENCE_DIR/docker-containers.txt"
  docker images > "$EVIDENCE_DIR/docker-images.txt"
  docker network ls > "$EVIDENCE_DIR/docker-networks.txt"
fi

# Kubernetes (if kubectl available)
if command -v kubectl &>/dev/null; then
  log "Collecting Kubernetes state..."
  kubectl get pods --all-namespaces > "$EVIDENCE_DIR/k8s-pods.txt" 2>/dev/null
  kubectl get events --all-namespaces --sort-by=.lastTimestamp > "$EVIDENCE_DIR/k8s-events.txt" 2>/dev/null
fi

# Hash all evidence files
log "Computing evidence hashes..."
find "$EVIDENCE_DIR" -type f ! -name "checksums.sha256" -exec sha256sum {} \; > "$EVIDENCE_DIR/checksums.sha256"

log "Evidence collection complete: $EVIDENCE_DIR"
echo "Total files collected: $(find "$EVIDENCE_DIR" -type f | wc -l)"

Memory Acquisition

#!/bin/bash
# memory-capture.sh - Capture volatile memory for forensic analysis

EVIDENCE_DIR="/evidence/memory-$(hostname)-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$EVIDENCE_DIR"

# Using LiME (Linux Memory Extractor)
if [ -f /lib/modules/$(uname -r)/extra/lime.ko ]; then
  insmod /lib/modules/$(uname -r)/extra/lime.ko "path=$EVIDENCE_DIR/memory.lime format=lime"
  echo "Memory captured with LiME"
fi

# Alternative: /proc/kcore (partial, but always available)
cp /proc/kcore "$EVIDENCE_DIR/kcore" 2>/dev/null

# Capture /proc/meminfo for context
cat /proc/meminfo > "$EVIDENCE_DIR/meminfo.txt"

# Hash the memory dump
sha256sum "$EVIDENCE_DIR"/* > "$EVIDENCE_DIR/checksums.sha256"

AWS Evidence Collection

#!/bin/bash
# aws-evidence-collect.sh - Collect evidence from compromised AWS resources

INCIDENT_ID="${1:?Usage: $0 <incident-id>}"
INSTANCE_ID="${2:?Usage: $0 <incident-id> <instance-id>}"
EVIDENCE_BUCKET="s3://incident-evidence-${AWS_ACCOUNT_ID}"
EVIDENCE_PREFIX="${INCIDENT_ID}/$(date +%Y%m%d-%H%M%S)"

echo "=== AWS Evidence Collection ==="
echo "Incident: $INCIDENT_ID"
echo "Instance: $INSTANCE_ID"

# Snapshot EBS volumes
echo "Creating EBS snapshots..."
VOLUMES=$(aws ec2 describe-volumes \
  --filters "Name=attachment.instance-id,Values=${INSTANCE_ID}" \
  --query 'Volumes[].VolumeId' --output text)

for vol in $VOLUMES; do
  SNAP_ID=$(aws ec2 create-snapshot \
    --volume-id "$vol" \
    --description "IR Evidence - ${INCIDENT_ID} - ${vol}" \
    --tag-specifications "ResourceType=snapshot,Tags=[{Key=IncidentId,Value=${INCIDENT_ID}},{Key=Purpose,Value=forensic-evidence}]" \
    --query 'SnapshotId' --output text)
  echo "  Snapshot created: $SNAP_ID for volume $vol"
done

# Capture instance metadata
echo "Capturing instance metadata..."
aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
  > "/tmp/${INCIDENT_ID}-instance-describe.json"
aws s3 cp "/tmp/${INCIDENT_ID}-instance-describe.json" \
  "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/instance-describe.json"

# Capture security group rules
SG_IDS=$(aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
  --query 'Reservations[].Instances[].SecurityGroups[].GroupId' --output text)
for sg in $SG_IDS; do
  aws ec2 describe-security-group-rules --filters "Name=group-id,Values=${sg}" \
    > "/tmp/${INCIDENT_ID}-sg-${sg}.json"
  aws s3 cp "/tmp/${INCIDENT_ID}-sg-${sg}.json" \
    "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/sg-${sg}.json"
done

# Collect CloudTrail events for the instance
echo "Collecting CloudTrail events..."
aws cloudtrail lookup-events \
  --lookup-attributes "AttributeKey=ResourceName,AttributeValue=${INSTANCE_ID}" \
  --start-time "$(date -d '7 days ago' -u +%Y-%m-%dT%H:%M:%SZ)" \
  > "/tmp/${INCIDENT_ID}-cloudtrail.json"
aws s3 cp "/tmp/${INCIDENT_ID}-cloudtrail.json" \
  "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/cloudtrail.json"

# Collect VPC flow logs
echo "Collecting VPC flow logs..."
ENI_ID=$(aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
  --query 'Reservations[].Instances[].NetworkInterfaces[0].NetworkInterfaceId' --output text)
aws ec2 describe-flow-logs --filter "Name=resource-id,Values=${ENI_ID}" \
  > "/tmp/${INCIDENT_ID}-flow-logs.json"
aws s3 cp "/tmp/${INCIDENT_ID}-flow-logs.json" \
  "${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/flow-logs-config.json"

# Isolate the instance (move to quarantine security group)
echo "Isolating instance..."
QUARANTINE_SG=$(aws ec2 create-security-group \
  --group-name "quarantine-${INCIDENT_ID}" \
  --description "Quarantine SG for incident ${INCIDENT_ID}" \
  --vpc-id "$(aws ec2 describe-instances --instance-ids "$INSTANCE_ID" \
    --query 'Reservations[].Instances[].VpcId' --output text)" \
  --query 'GroupId' --output text)

# Quarantine SG: deny all inbound, allow outbound only to evidence bucket
aws ec2 modify-instance-attribute \
  --instance-id "$INSTANCE_ID" \
  --groups "$QUARANTINE_SG"

echo "Instance isolated with quarantine SG: $QUARANTINE_SG"
echo "Evidence stored at: ${EVIDENCE_BUCKET}/${EVIDENCE_PREFIX}/"

Forensics Commands Reference

# --- Disk forensics ---
# Create forensic image of a disk
dd if=/dev/sda of=/evidence/disk.img bs=4M status=progress
sha256sum /evidence/disk.img > /evidence/disk.img.sha256

# Mount forensic image read-only
mount -o ro,loop,noexec /evidence/disk.img /mnt/forensic

# Find recently modified files
find /mnt/forensic -type f -mtime -3 -ls | sort -k11

# Find files by owner
find /mnt/forensic -user www-data -type f -newer /tmp/reference-time -ls

# --- Log analysis ---
# Search auth logs for brute force
grep "Failed password" /var/log/auth.log | awk '{print $11}' | sort | uniq -c | sort -rn | head -20

# Search for privilege escalation
grep -E "(sudo|su\[)" /var/log/auth.log | grep -v "session opened"

# Search web logs for attack patterns
grep -iE "(union.*select|<script|\.\.\/|%00)" /var/log/nginx/access.log

# Timeline analysis with find
find / -newermt "2025-01-15 00:00" ! -newermt "2025-01-16 00:00" -ls 2>/dev/null | sort -k9

# --- Network forensics ---
# Capture network traffic
tcpdump -i eth0 -w /evidence/capture.pcap -c 100000

# Analyze pcap for suspicious connections
tcpdump -r /evidence/capture.pcap -nn 'dst port 4444 or dst port 8888 or dst port 1337'

# Check for DNS tunneling
tcpdump -r /evidence/capture.pcap -nn 'udp port 53' | awk '{print $NF}' | sort | uniq -c | sort -rn | head -20

# --- Malware analysis ---
# Check file for known malware hashes
sha256sum suspicious_file
# Compare against VirusTotal: https://www.virustotal.com

# Strings analysis
strings suspicious_file | grep -iE "(http|ftp|ssh|password|key|token)"

# Check for packed/obfuscated binaries
file suspicious_file
readelf -h suspicious_file 2>/dev/null

Communication Templates

Initial Notification (Internal)

## Security Incident Notification

**Incident ID:** INC-YYYY-NNNN
**Severity:** [Critical/High/Medium/Low]
**Status:** Active - Investigating
**Time Detected:** YYYY-MM-DD HH:MM UTC
**Reported By:** [Name/System]

### Summary
[1-2 sentence description of what was detected]

### Impact Assessment
- **Systems affected:** [list]
- **Data at risk:** [type and scope]
- **Users impacted:** [count/scope]
- **Business impact:** [description]

### Current Actions
- [ ] Evidence preservation in progress
- [ ] Containment measures being applied
- [ ] IR team assembled

### Next Update
Expected at: YYYY-MM-DD HH:MM UTC

### Incident Commander
[Name] - [Contact info]

Stakeholder Update

## Incident Update - INC-YYYY-NNNN

**Update #:** N
**Time:** YYYY-MM-DD HH:MM UTC
**Severity:** [unchanged/upgraded/downgraded]
**Status:** [Investigating/Contained/Eradicating/Recovering/Resolved]

### Progress Since Last Update
- [Bullet points of actions taken]

### Current Understanding
- **Root cause:** [Known/Under investigation]
- **Scope:** [Expanded/Unchanged/Reduced]
- **Threat actor:** [If applicable]

### Active Containment Measures
- [List of measures in place]

### Next Steps
- [Planned actions with ETA]

### Decisions Needed
- [If any decisions required from leadership]

External Breach Notification (if required)

## Notice of Data Security Incident

Dear [Customer/Partner],

We are writing to inform you of a security incident that we detected on
[date]. Upon discovery, we immediately activated our incident response
procedures and engaged external cybersecurity experts.

### What Happened
[Brief, factual description]

### What Information Was Involved
[Types of data affected]

### What We Are Doing
[Remediation steps taken and planned]

### What You Can Do
[Recommended actions for affected parties]

### Contact Information
For questions, please contact: [dedicated contact/hotline]

[Company Name]
[Date]

IR Playbook: Compromised Credentials

playbook: compromised-credentials
trigger: "Alert indicating credential theft, brute force success, or credential dump"

steps:
  1_validate:
    - Confirm the alert is not a false positive
    - Identify which credentials are compromised
    - Determine scope (single user, service account, API key)

  2_contain:
    - Disable compromised accounts immediately
    - Revoke active sessions and tokens
    - Rotate API keys and service account credentials
    - Block source IP if identified
    commands:
      - "aws iam update-login-profile --user-name USER --password-reset-required"
      - "aws iam delete-access-key --user-name USER --access-key-id AKIAXXXX"
      - "aws iam deactivate-mfa-device --user-name USER --serial-number ARN"
      - "kubectl delete secret compromised-secret -n NAMESPACE"

  3_investigate:
    - Review CloudTrail/audit logs for the compromised identity
    - Identify all actions taken with compromised credentials
    - Check for persistence (new keys, roles, backdoors)
    - Determine initial compromise vector (phishing, leak, breach)

  4_eradicate:
    - Remove any backdoors or persistence mechanisms
    - Rotate all credentials that may have been exposed
    - Update access policies to enforce MFA
    - Patch credential storage if vault/secret manager was compromised

  5_recover:
    - Issue new credentials with MFA enforced
    - Restore access with least-privilege review
    - Monitor new credentials for abnormal usage

  6_improve:
    - Add detection for initial compromise vector
    - Review credential management policies
    - Update security awareness training if phishing was involved

Troubleshooting

ProblemCauseSolution
Evidence collection script failsInsufficient permissionsRun with sudo/root; pre-authorize IR accounts
Cannot access compromised systemSystem encrypted by ransomwareUse offline disk imaging; restore from backups
Logs are missing or tamperedAttacker cleared logsCheck centralized log aggregator; restore from log backups
Cannot determine incident scopeInsufficient loggingEnable CloudTrail, VPC flow logs, audit logging for future
Stakeholders demanding immediate answersPressure to resolve quicklyFollow IR process; provide regular updates; avoid speculation
False positive triggered full IRDetection rules too sensitiveTune alerting thresholds; add validation step before escalation
Evidence integrity questionedNo chain of custodyHash all evidence immediately; document who accessed what and when

Best Practices

  • Pre-define and practice playbooks with tabletop exercises quarterly
  • Maintain separate, secure communication channels for IR (not email or Slack on corporate infra)
  • Always preserve evidence before making changes to compromised systems
  • Establish chain of custody for all collected evidence
  • Engage legal counsel early in any potential data breach
  • Conduct blameless post-incident reviews within 72 hours
  • Update detection rules and playbooks based on lessons learned
  • Pre-authorize common IR actions so responders can act without delay
  • Keep an IR "go bag" with tools, credentials, and documentation ready
  • Test backup restoration procedures regularly (not just backup creation)

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安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

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