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incident-ingesting事件摄取

Agent Skill

incident-ingesting 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。

总安装

303

周安装

13

GitHub Stars

5

下载量

106
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-ingesting(事件摄取)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/incident-ingesting
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill incident-ingesting
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/wizeline/sdlc-agents --skill incident-ingesting

简介

incident-ingesting 从工单系统提取事件背景信息,映射为标准接收字段便于后续处理。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中需要统一事件数据结构、识别关联 PR 时使用。
  • 自动解析 Jira 字段、评论线程与附件内容,填充优先级与组件标签等关键字段。
  • 安装方式:npx skills add https://github.com/wizeline/sdlc-agents --skill incident-ingesting。
  • 注意 Jira 优先级仅为提示,实际严重性需结合日志与业务影响人工判断修正。

SKILL.md

Jira Incident Intake Skill

Your job is to bridge an existing Jira ticket to the Incident Commander's response flow. A ticket already exists — meaning someone already identified the problem. Your goal is to extract everything the incident response pipeline needs so it can proceed without asking the developer to repeat information that's already in Jira.


Phase 0: Resolve the Ticket Reference

Accept any of these input forms:

  • Bare key: OPS-412, PROD-88, INC-7
  • Full URL: https://company.atlassian.net/browse/OPS-412
  • Natural language: "the Jira for the checkout outage", "look at the incident ticket"

If a bare key or URL is provided, extract the issue key and proceed directly to fetch. If the reference is ambiguous (e.g., "the checkout Jira"), use Jira search to find the most likely match before fetching.


Phase 1: Fetch the Ticket

Use the Atlassian MCP (getJiraIssue) to retrieve the full ticket. Request these fields:

FieldPurpose
summaryShort incident title
descriptionFull symptom description, error messages, logs pasted by the reporter
priorityJira priority → use to inform initial severity hint
statusCurrent workflow state (helps assess if incident is active or resolved)
issuetypeBug, Incident, Task — affects routing
labelsMay include incident, severity-p0, production, security, etc.
componentsAffected services/systems
assigneeWho currently owns the ticket
reporterWho filed it
createdWhen the ticket was created (proxy for incident onset if no better signal)
updatedLast activity — signals if investigation is recent or stale
commentComments thread — often contains diagnostic steps already taken, stack traces, and timeline
attachmentLog files, screenshots, exported metrics
customfield_*Any custom fields: environment, affected region, linked runbook, SLA fields

Also fetch linked issues (getJiraIssueRemoteIssueLinks) to identify:

  • Linked PRs (hotfixes in progress)
  • Duplicate or related incidents
  • Parent epics (for service context)

Phase 2: Extract Incident Context

Map ticket data to the standard incident intake fields. Fill every field — use "unknown" rather than leaving anything blank.

Priority mapping

Use the Jira priority as a hint only — do not blindly trust it. Jira priorities are often set by reporters who may not follow the severity matrix. The Incident Commander will classify severity properly during triage.

Jira PrioritySeverity Hint
Blocker / CriticalLikely P0 or P1 — flag immediately
MajorLikely P1 or P2
MinorLikely P2 or P3
TrivialLikely P3
Not setUnknown — defer to triage

Status mapping

Jira StatusSignal
Open / To DoIncident may not yet have an active responder
In ProgressSomeone is actively working it — check assignee and comments for context
Resolved / DoneIncident is over — route to incident-documenting for postmortem/summary only
ReopenedRegression — treat as new active incident

Context extraction rules

  • Symptom: Pull from summary + first paragraph of description. If description contains raw error messages, stack traces, or log excerpts — include them verbatim in the handoff.
  • When: Check created timestamp, but also scan description and early comments for phrases like "started at", "began around", "first noticed at". Use the most specific time.
  • Scope: Look for user counts, error rates, affected regions, or service names in the description and comments. Extract them explicitly.
  • Trigger: Scan for mentions of deploys, config changes, dependency upgrades, traffic spikes, or cron jobs that correlate with onset.
  • Actions taken: Read the full comment thread. Extract any diagnostic steps, attempted fixes, and their outcomes into a bullet list. This prevents the team from retrying failed approaches.
  • Attachments: Note any attached log files or exports. If the AI assistant can read them, extract key error signals and include in the handoff package.

Phase 3: Build the Intake Package

Produce a structured intake package that the Incident Commander consumes as if a developer had reported it directly. Do not summarize or lose fidelity — include the raw error messages and stack traces verbatim.

JIRA INCIDENT INTAKE
────────────────────
Source Ticket   : [KEY] — [title]
Ticket URL      : [https://...]
Status          : [Jira status]
Reporter        : [name] at [timestamp]
Assignee        : [name or "unassigned"]
Priority Hint   : [Jira priority] → estimated [P0/P1/P2/P3/unknown]

Stage           : [prod | staging | ci | local | unknown]
Symptom         : [precise observable symptom extracted from description]
Raw Error       :
  [Verbatim error messages, stack traces, or log excerpts from ticket — or "none in ticket"]

When            : [Onset time from ticket — or "unknown, ticket created at HH:MM UTC"]
Scope           : [Users/services/endpoints affected — or "unknown"]
Trigger         : [Deployment, config change, dependency, traffic spike — or "unknown"]

Actions Already Taken:
  [Bullet list from comment thread — or "none documented in ticket"]
  - [action] → [outcome]
  - [action] → [outcome]

Linked Context  :
  - PRs: [links or "none"]
  - Related incidents: [links or "none"]
  - Runbook: [link or "none referenced"]

Attachments     : [list filenames or "none"]

Phase 4: Route to Incident Commander

After building the intake package, pass it to the Incident Commander with a clear handoff note.

If the ticket status is Resolved/Done:

"Ticket [KEY] is already resolved. Routing to incident-documenting to generate postmortem and close the documentation loop. Skipping triage and RCA." → Invoke incident-documenting directly.

If the ticket status is active (Open, In Progress, Reopened):

"Ticket [KEY] is an active incident. Handing full context to the Incident Commander to begin the response flow." → Pass the intake package to the Incident Commander. The Commander will invoke incident-triaging as the first step, using the extracted context instead of asking the developer to re-enter it.

If priority hint is Blocker/Critical:

Flag immediately: "Jira priority is [Blocker/Critical] — treating as potential P0/P1. Proceeding to triage at high urgency."

Phase 5: Jira Ticket Updates and Hygiene (if MCP write is available)

During or after the response flow, manage the ticket state:

  • Status & Comments: If the user provides comments or progress updates regarding the incident, use your tools (e.g., Atlassian MCP) to update the ticket status accordingly and append their comments to the ticket.
  • Hygiene: After the response flow completes, offer to update the Jira ticket with:

- Severity classification from triage (add label severity-p<N>) - Link to escalation brief, runbook, or postmortem artifact written to disk - Final status transition

Always explicitly ask before writing back to Jira — unless the user specifically directed you to update the ticket.


Constraints

  • Never ask for information already in the ticket. Read the full description and comment thread before determining what context is missing.
  • Preserve raw error messages verbatim. Summarizing stack traces loses signal. Include them in the intake package exactly as they appear.
  • Do not classify severity yourself. Provide a hint based on Jira priority, but defer final severity classification to incident-triaging.
  • Comments are part of the incident record. A ticket with 20 comments may have the root cause already identified. Read them all before handing off.
  • Stale tickets need a freshness check. If the ticket was last updated >24 hours ago and is still "In Progress", flag this to the developer before proceeding — the incident state may have changed without the ticket being updated.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.1%
按下载量换算36

Claude

32.63%
按下载量换算35

Cursor

21.23%
按下载量换算23

Gemini CLI

9.81%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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