Token导航 LogoToken导航

Agent Skill · 研究检索

incident-response-incident-response(事件响应 事件响应)

incident-response-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-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 21,973。

总安装 4,697周安装 190GitHub Stars 35,698下载 1,474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-incident-response(事件响应 事件响应)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/incident-response-incident-response
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill incident-response-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/sickn33/antigravity-awesome-skills --skill incident-response-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。

事件响应技能用于信息检索与筛选,支持基于关键词和任务场景的快速定位。它适用于 Codex、Claude、Cursor 等宿主环境中需要线索聚合的场景。通过 GitHub 仓库安装,使用前需确认权限范围与维护状态。建议结合原始 README 核验具体用法,避免触发联网或文件读写操作。

涉及敏感数据时应评估操作边界,确保符合安全策略。

来源仓库内路径:skills/incident-response-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/sickn33/antigravity-awesome-skills --skill inc…;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-incident-response 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill incident-resp…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

incident-response-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-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-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-incident-response 用的人多吗?

公开数据是累计安装 4,697 次,近一周安装 190 次,下载 1,474 次,GitHub 35,698 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-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。
  • 来源仓库有 35,698 星,维护活跃度相对可查。

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-incident-response

事件响应 事件响应 · 本页

4,69735,698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

Use this skill when

  • Working on incident response incident response tasks or workflows
  • Needing guidance, best practices, or checklists for incident response incident response

Do not use this skill when

  • The task is unrelated to incident response incident response
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning:

[Extended thinking: This workflow implements a comprehensive incident command system (ICS) following modern SRE principles. Multiple specialized agents collaborate through defined phases: detection/triage, investigation/mitigation, communication/coordination, and resolution/postmortem. The workflow emphasizes speed without sacrificing accuracy, maintains clear communication channels, and ensures every incident becomes a learning opportunity through blameless postmortems and systematic improvements.]

Configuration

Severity Levels

  • P0/SEV-1: Complete outage, security breach, data loss - immediate all-hands response
  • P1/SEV-2: Major degradation, significant user impact - rapid response required
  • P2/SEV-3: Minor degradation, limited impact - standard response
  • P3/SEV-4: Cosmetic issues, no user impact - scheduled resolution

Incident Types

  • Performance degradation
  • Service outage
  • Security incident
  • Data integrity issue
  • Infrastructure failure
  • Third-party service disruption

Phase 1: Detection & Triage

1. Incident Detection and Classification

  • Use Task tool with subagent_type="incident-responder"
  • Prompt: "URGENT: Detect and classify incident: $ARGUMENTS. Analyze alerts from PagerDuty/Opsgenie/monitoring. Determine: 1) Incident severity (P0-P3), 2) Affected services and dependencies, 3) User impact and business risk, 4) Initial incident command structure needed. Check error budgets and SLO violations."
  • Output: Severity classification, impact assessment, incident command assignments, SLO status
  • Context: Initial alerts, monitoring dashboards, recent changes

2. Observability Analysis

  • Use Task tool with subagent_type="observability-monitoring::observability-engineer"
  • Prompt: "Perform rapid observability sweep for incident: $ARGUMENTS. Query: 1) Distributed tracing (OpenTelemetry/Jaeger), 2) Metrics correlation (Prometheus/Grafana/DataDog), 3) Log aggregation (ELK/Splunk), 4) APM data, 5) Real User Monitoring. Identify anomalies, error patterns, and service degradation points."
  • Output: Observability findings, anomaly detection, service health matrix, trace analysis
  • Context: Severity level from step 1, affected services

3. Initial Mitigation

  • Use Task tool with subagent_type="incident-responder"
  • Prompt: "Implement immediate mitigation for P$SEVERITY incident: $ARGUMENTS. Actions: 1) Traffic throttling/rerouting if needed, 2) Feature flag disabling for affected features, 3) Circuit breaker activation, 4) Rollback assessment for recent deployments, 5) Scale resources if capacity-related. Prioritize user experience restoration."
  • Output: Mitigation actions taken, temporary fixes applied, rollback decisions
  • Context: Observability findings, severity classification

Phase 2: Investigation & Root Cause Analysis

4. Deep System Debugging

  • Use Task tool with subagent_type="error-debugging::debugger"
  • Prompt: "Conduct deep debugging for incident: $ARGUMENTS using observability data. Investigate: 1) Stack traces and error logs, 2) Database query performance and locks, 3) Network latency and timeouts, 4) Memory leaks and CPU spikes, 5) Dependency failures and cascading errors. Apply Five Whys analysis."
  • Output: Root cause identification, contributing factors, dependency impact map
  • Context: Observability analysis, mitigation status

5. Security Assessment

  • Use Task tool with subagent_type="security-scanning::security-auditor"
  • Prompt: "Assess security implications of incident: $ARGUMENTS. Check: 1) DDoS attack indicators, 2) Authentication/authorization failures, 3) Data exposure risks, 4) Certificate issues, 5) Suspicious access patterns. Review WAF logs, security groups, and audit trails."
  • Output: Security assessment, breach analysis, vulnerability identification
  • Context: Root cause findings, system logs

6. Performance Engineering Analysis

  • Use Task tool with subagent_type="application-performance::performance-engineer"
  • Prompt: "Analyze performance aspects of incident: $ARGUMENTS. Examine: 1) Resource utilization patterns, 2) Query optimization opportunities, 3) Caching effectiveness, 4) Load balancer health, 5) CDN performance, 6) Autoscaling triggers. Identify bottlenecks and capacity issues."
  • Output: Performance bottlenecks, resource recommendations, optimization opportunities
  • Context: Debug findings, current mitigation state

Phase 3: Resolution & Recovery

7. Fix Implementation

  • Use Task tool with subagent_type="backend-development::backend-architect"
  • Prompt: "Design and implement production fix for incident: $ARGUMENTS based on root cause. Requirements: 1) Minimal viable fix for rapid deployment, 2) Risk assessment and rollback capability, 3) Staged rollout plan with monitoring, 4) Validation criteria and health checks. Consider both immediate fix and long-term solution."
  • Output: Fix implementation, deployment strategy, validation plan, rollback procedures
  • Context: Root cause analysis, performance findings, security assessment

8. Deployment and Validation

  • Use Task tool with subagent_type="deployment-strategies::deployment-engineer"
  • Prompt: "Execute emergency deployment for incident fix: $ARGUMENTS. Process: 1) Blue-green or canary deployment, 2) Progressive rollout with monitoring, 3) Health check validation at each stage, 4) Rollback triggers configured, 5) Real-time monitoring during deployment. Coordinate with incident command."
  • Output: Deployment status, validation results, monitoring dashboard, rollback readiness
  • Context: Fix implementation, current system state

Phase 4: Communication & Coordination

9. Stakeholder Communication

  • Use Task tool with subagent_type="content-marketing::content-marketer"
  • Prompt: "Manage incident communication for: $ARGUMENTS. Create: 1) Status page updates (public-facing), 2) Internal engineering updates (technical details), 3) Executive summary (business impact/ETA), 4) Customer support briefing (talking points), 5) Timeline documentation with key decisions. Update every 15-30 minutes based on severity."
  • Output: Communication artifacts, status updates, stakeholder briefings, timeline log
  • Context: All previous phases, current resolution status

10. Customer Impact Assessment

  • Use Task tool with subagent_type="incident-responder"
  • Prompt: "Assess and document customer impact for incident: $ARGUMENTS. Analyze: 1) Affected user segments and geography, 2) Failed transactions or data loss, 3) SLA violations and contractual implications, 4) Customer support ticket volume, 5) Revenue impact estimation. Prepare proactive customer outreach list."
  • Output: Customer impact report, SLA analysis, outreach recommendations
  • Context: Resolution progress, communication status

Phase 5: Postmortem & Prevention

11. Blameless Postmortem

  • Use Task tool with subagent_type="documentation-generation::docs-architect"
  • Prompt: "Conduct blameless postmortem for incident: $ARGUMENTS. Document: 1) Complete incident timeline with decisions, 2) Root cause and contributing factors (systems focus), 3) What went well in response, 4) What could improve, 5) Action items with owners and deadlines, 6) Lessons learned for team education. Follow SRE postmortem best practices."
  • Output: Postmortem document, action items list, process improvements, training needs
  • Context: Complete incident history, all agent outputs

12. Monitoring and Alert Enhancement

  • Use Task tool with subagent_type="observability-monitoring::observability-engineer"
  • Prompt: "Enhance monitoring to prevent recurrence of: $ARGUMENTS. Implement: 1) New alerts for early detection, 2) SLI/SLO adjustments if needed, 3) Dashboard improvements for visibility, 4) Runbook automation opportunities, 5) Chaos engineering scenarios for testing. Ensure alerts are actionable and reduce noise."
  • Output: New monitoring configuration, alert rules, dashboard updates, runbook automation
  • Context: Postmortem findings, root cause analysis

13. System Hardening

  • Use Task tool with subagent_type="backend-development::backend-architect"
  • Prompt: "Design system improvements to prevent incident: $ARGUMENTS. Propose: 1) Architecture changes for resilience (circuit breakers, bulkheads), 2) Graceful degradation strategies, 3) Capacity planning adjustments, 4) Technical debt prioritization, 5) Dependency reduction opportunities. Create implementation roadmap."
  • Output: Architecture improvements, resilience patterns, technical debt items, roadmap
  • Context: Postmortem action items, performance analysis

Success Criteria

Immediate Success (During Incident)

  • Service restoration within SLA targets
  • Accurate severity classification within 5 minutes
  • Stakeholder communication every 15-30 minutes
  • No cascading failures or incident escalation
  • Clear incident command structure maintained

Long-term Success (Post-Incident)

  • Comprehensive postmortem within 48 hours
  • All action items assigned with deadlines
  • Monitoring improvements deployed within 1 week
  • Runbook updates completed
  • Team training conducted on lessons learned
  • Error budget impact assessed and communicated

Coordination Protocols

Incident Command Structure

  • Incident Commander: Decision authority, coordination
  • Technical Lead: Technical investigation and resolution
  • Communications Lead: Stakeholder updates
  • Subject Matter Experts: Specific system expertise

Communication Channels

  • War room (Slack/Teams channel or Zoom)
  • Status page updates (StatusPage, Statusly)
  • PagerDuty/Opsgenie for alerting
  • Confluence/Notion for documentation

Handoff Requirements

  • Each phase provides clear context to the next
  • All findings documented in shared incident doc
  • Decision rationale recorded for postmortem
  • Timestamp all significant events

Production incident requiring immediate response: $ARGUMENTS

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Codex

35.52%
按下载量换算524

Claude

28.54%
按下载量换算421

Cursor

19.38%
按下载量换算286

Gemini CLI

9.96%
按下载量换算147

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

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。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills