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Agent Skill · 研究检索

incident-response(事件响应)

incident-response 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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,权限为权限未标注;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 72,083。

总安装 190周安装 8GitHub Stars 61下载 67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:incident-response(事件响应)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/incident-response
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --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。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/melodic-software/claude-code-plugins --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。

用于查找、检索和筛选相关信息,适合快速定位技术方案。可根据关键词、任务场景或来源线索聚合候选结果。建议结合原始 README 和安装命令进一步核验具体用法。安装前需确认权限范围、维护状态及是否触发联网操作。incident-response 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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/melodic-software/claude-code-plugins --skill i…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

incident-response 怎么安装?

在终端执行 npx skills add https://github.com/melodic-software/claude-code-plugins --skill incident-re…。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?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

incident-response 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。

incident-response 用的人多吗?

公开数据是累计安装 190 次,近一周安装 8 次,下载 67 次,GitHub 61 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

  • 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。
  • 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

  • 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

19061权限未标注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

Incident Response

Patterns and practices for effective incident management, from detection through postmortem.

When to Use This Skill

  • Designing incident response processes
  • Creating incident runbooks
  • Establishing on-call rotations
  • Running effective postmortems
  • Improving mean time to recovery (MTTR)

Incident Lifecycle

┌─────────────────────────────────────────────────────────┐
│                  INCIDENT LIFECYCLE                      │
│                                                          │
│  ┌─────────┐  ┌─────────┐  ┌─────────┐  ┌─────────┐   │
│  │ Detect  │─►│ Respond │─►│ Recover │─►│ Learn   │   │
│  └─────────┘  └─────────┘  └─────────┘  └─────────┘   │
│       │            │            │            │          │
│       ▼            ▼            ▼            ▼          │
│   Alerting    Triage &     Mitigation  Postmortem     │
│   Monitoring  Diagnosis    Remediation  Action Items   │
└─────────────────────────────────────────────────────────┘

Key Metrics

MTTD - Mean Time to Detect
└── Time from incident start to detection

MTTA - Mean Time to Acknowledge
└── Time from alert to human acknowledgment

MTTR - Mean Time to Recover
└── Time from detection to resolution

MTTF - Mean Time to Failure
└── Time between incidents (reliability)

Goal: Minimize MTTD + MTTA + MTTR

Incident Severity

Severity Levels

SEV 1 - Critical
├── Complete outage
├── Data loss or security breach
├── All/most users affected
├── Response: Immediate (24/7)
└── Example: Production database down

SEV 2 - High
├── Major functionality impaired
├── Significant user impact
├── Workaround may exist
├── Response: Urgent (business hours++)
└── Example: Payment processing degraded

SEV 3 - Medium
├── Partial functionality affected
├── Limited user impact
├── Workaround available
├── Response: Normal priority
└── Example: Report generation slow

SEV 4 - Low
├── Minor issue
├── Minimal user impact
├── Response: Best effort
└── Example: UI cosmetic bug

Severity Matrix

                    User Impact
                 Low   Medium   High
Scope    ├─────────────────────────────┤
Wide     │  SEV3   SEV2    SEV1       │
Medium   │  SEV4   SEV3    SEV2       │
Limited  │  SEV4   SEV4    SEV3       │
         └─────────────────────────────┘

Incident Roles

Core Roles

Incident Commander (IC)
├── Owns the incident end-to-end
├── Makes decisions and delegates
├── Controls incident channel
├── Does NOT debug (coordinates)
└── Focus: Big picture, communication

Tech Lead
├── Leads technical investigation
├── Coordinates technical responders
├── Makes technical decisions
├── Reports to IC
└── Focus: Root cause, fix

Communications Lead
├── Handles external communication
├── Updates status page
├── Manages customer notifications
├── Reports to IC
└── Focus: Stakeholder updates

Scribe
├── Documents timeline
├── Records decisions and actions
├── Captures important information
├── Reports to IC
└── Focus: Documentation

Role Handoffs

Handoff protocol:
1. IC: "I'm handing IC to [Name]"
2. New IC: "I'm taking IC. Current status is..."
3. IC: "Confirmed, [Name] is now IC"

Handoff when:
- Shift ends
- Fatigue sets in
- Expertise needed
- Escalation required

Incident Communication

Communication Channels

Internal:
┌─────────────────────────────────────────────────────────┐
│ #incident-YYYY-MM-DD-topic                              │
│ - All incident communication here                       │
│ - Pinned: Current status, timeline, roles              │
│ - Bridge call link for voice                            │
└─────────────────────────────────────────────────────────┘

External:
- Status page (status.example.com)
- Customer emails
- Social media (if needed)
- Support channels

Status Update Template

[TIME] Incident Update - [TITLE]

Current Status: [Investigating|Identified|Monitoring|Resolved]

Impact: [What users are experiencing]

What we know:
- [Key facts]

What we're doing:
- [Current actions]

Next update: [Time or "as soon as we learn more"]

Update Cadence

SEV 1: Every 15-30 minutes
SEV 2: Every 30-60 minutes
SEV 3: Every 1-2 hours
SEV 4: As needed

Also update when:
- Status changes
- Major new information
- Actions taken
- Resolution achieved

Incident Response Process

Step 1: Detection & Alert

Triggers:
- Automated alerting
- User reports
- Internal discovery

First responder actions:
1. Acknowledge alert
2. Assess initial impact
3. Declare incident if needed
4. Page additional responders
5. Open incident channel

Step 2: Triage & Mobilize

Triage questions:
- What is the user impact?
- How many users affected?
- Is there a workaround?
- What's the severity?

Mobilize:
1. Page appropriate responders
2. Establish roles (IC, Tech Lead, Comms)
3. Start incident channel
4. Begin timeline documentation

Step 3: Investigate & Diagnose

Investigation approach:
1. What changed recently?
   └── Deployments, config, infrastructure

2. What do metrics/logs show?
   └── Error rates, latency, traces

3. What's the blast radius?
   └── Which services, which users

4. What are the hypotheses?
   └── List, prioritize, test

Common commands:
- "Checking [system] now"
- "Theory: [hypothesis]"
- "Found: [discovery]"
- "Need: [resource/access]"

Step 4: Mitigate

Mitigation strategies:
1. Rollback
   └── Revert recent changes

2. Failover
   └── Switch to backup/replica

3. Scale
   └── Add capacity

4. Disable
   └── Turn off affected feature

5. Hotfix
   └── Deploy targeted fix

Priority: Restore service first, root cause later

Step 5: Resolve & Verify

Resolution checklist:
□ Service restored
□ Metrics normalized
□ User-facing impact ended
□ Monitoring in place for recurrence
□ Temporary mitigations documented

Verification:
- Check key SLIs
- Test user flows
- Monitor for 15-30 minutes
- Confirm with affected teams

Step 6: Close & Learn

Closure:
1. Declare incident resolved
2. Final status update
3. Schedule postmortem
4. Assign postmortem owner
5. Close incident channel (archive)

Timeline:
- Postmortem doc: Within 24-48 hours
- Postmortem meeting: Within 5 business days
- Action items: Tracked to completion

On-Call Practices

On-Call Structure

Primary: First responder to alerts
Secondary: Backup if primary unavailable
Escalation: Manager/senior for major incidents

Rotation options:
- Weekly rotation
- Follow-the-sun (multiple timezones)
- Split shifts (day/night)

Off-hours policy:
- What's page-worthy?
- What can wait?
- Compensation for off-hours

On-Call Responsibilities

During shift:
- Respond to alerts within SLA
- Triage and resolve or escalate
- Document actions taken
- Hand off to next shift

Handoff includes:
- Open alerts/incidents
- Recent incidents
- Known issues
- Scheduled changes

Alert Hygiene

Good alert:
- Actionable
- Urgent
- User-impacting
- Clear resolution path

Alert anti-patterns:
- "Somebody should look at this"
- Duplicate alerts
- Non-actionable information
- Crying wolf (frequent false positives)

Regular review:
- Which alerts fired?
- Which were actionable?
- Which were noise?
- What's missing?

Runbooks

Runbook Structure

# Runbook: [Alert Name]

## Overview
What this alert means and why it matters.

## Impact
What users experience when this fires.

## Investigation Steps
1. Check [metric/log/dashboard]
2. Look for [specific pattern]
3. Verify [component status]

## Mitigation Steps
1. If [condition], do [action]
2. If [condition], do [action]
3. Escalate if [condition]

## Rollback Procedure
How to undo changes if needed.

## Contacts
- Service owner: [name]
- Escalation: [name/team]

## Related Links
- Dashboard: [link]
- Logs: [query]
- Service docs: [link]

Runbook Maintenance

Keep runbooks current:
- Update after incidents
- Review quarterly
- Test procedures
- Remove stale content

Runbook location:
- Linked from alert
- Searchable/discoverable
- Version controlled

Postmortems

Blameless Culture

Blameless postmortem:
- Focus on systems, not individuals
- Assume people acted rationally
- Look for contributing factors
- Improve systems and processes

Not blameless: "John should have..."
Blameless: "The system allowed..."

Postmortem Template

# Incident Postmortem: [Title]

Date: [Date]
Duration: [Start - End]
Severity: [SEV level]
Authors: [Names]

## Summary
One paragraph summary of what happened.

## Impact
- Users affected: [Number/percentage]
- Duration: [Time]
- Revenue impact: [If applicable]

## Timeline
[Time] - Event
[Time] - Action taken
[Time] - Resolution

## Root Cause
What actually caused the incident.

## Contributing Factors
What made it worse or harder to resolve.

## What Went Well
- [Positive observations]

## What Could Be Improved
- [Improvement areas]

## Action Items
| Action | Owner | Due Date | Status |
|--------|-------|----------|--------|
| [Action] | [Name] | [Date] | [Status] |

## Lessons Learned
Key takeaways for the organization.

Action Item Types

Prevent: Stop this from happening again
Detect: Find it faster next time
Mitigate: Reduce impact when it happens
Document: Improve runbooks/documentation

Priority:
1. High-impact, low-effort
2. Required for safety
3. Reduces toil
4. Nice to have

Best Practices

1. Declare incidents early
   When in doubt, declare

2. Focus on mitigation first
   Root cause analysis later

3. Communicate frequently
   Silence breeds anxiety

4. Document as you go
   Don't rely on memory

5. Practice with game days
   Drill before real incidents

6. Blameless postmortems
   Systems fail, not people

7. Track action items
   Complete what you commit

8. Regular on-call review
   Improve the on-call experience

Related Skills

  • slo-sli-error-budget - SLOs and alerting
  • observability-patterns - Using observability in incidents
  • chaos-engineering-fundamentals - Proactive resilience testing

平台分布

trae

32.45%
按下载量换算22

Antigravity

21.92%
按下载量换算15

windsurf

17.04%
按下载量换算11

Claude Code

12.35%
按下载量换算8

Codex

7.72%
按下载量换算5

Gemini CLI

3.63%
按下载量换算2

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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