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incident-postmortem-generator事件事后生成器

Agent Skill

incident-postmortem-generator 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

2,634

周安装

112

GitHub Stars

公开资料未说明

下载量

923
OpenClaw

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

MIT-0

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-postmortem-generator(事件事后生成器)
来源仓库:https://github.com/charlie-morrison/incident-postmortem-generator
安装命令:
openclaw skills install incident-postmortem-generator
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install incident-postmortem-generator

简介

incident-postmortem-generator 依据日志与时间线自动生成无责事后分析报告。

  • 适合在 OpenClaw 中开展根本原因分析、评估影响范围或制定预防措施时使用。
  • 结构化输出章节包括事件概述、时间线还原、根因定位与改进建议。
  • 安装命令:openclaw skills install incident-postmortem-generator,输入事件 ID 及相关数据即可生成。
  • 注意报告内容应基于客观证据,避免主观推测或归咎个人责任表述。

SKILL.md

name
incident-postmortem
description
Generate structured, blame-free incident postmortem reports from logs, timeline data, and incident metadata. Produces root cause analysis, impact assessment, timeline reconstruction, lessons learned, and action items. Supports log parsing (syslog, JSON, Apache/Nginx, Python tracebacks), timeline JSON input, blame-free language checking, and multiple output formats (markdown, HTML, JSON). Use when asked to create a postmortem, write an incident report, document an outage, generate a post-incident review, analyze incident timeline, check postmortem language for blame, create RCA (root cause analysis), or produce an after-action report. Triggers on "postmortem", "incident report", "outage report", "post-incident", "root cause analysis", "RCA", "after-action", "blameless review", "incident review".

Incident Postmortem

Generate structured, blame-free incident postmortem reports with timeline reconstruction, log analysis, and action item tracking.

Quick Start

# Create a postmortem from scratch (fills in template sections)
python3 scripts/generate_postmortem.py --title "Database outage" --severity P1

# Parse logs to auto-extract timeline events
python3 scripts/generate_postmortem.py --title "API latency" --log /var/log/app.log --since 2h

# Load a complete incident from JSON
python3 scripts/generate_postmortem.py --from incident.json --output html -o postmortem.html

# Combine logs + manual timeline
python3 scripts/generate_postmortem.py --title "Deploy failure" --log /var/log/deploy.log --timeline events.json

# Check existing document for blameful language
python3 scripts/generate_postmortem.py --check-blame existing-report.md

Features

  1. Log parsing — Auto-detects syslog, JSON, Apache/Nginx, Python tracebacks, Docker, generic timestamped formats. Extracts errors, warnings, and notable events into a timeline.
  2. Timeline reconstruction — Merges log-extracted events with manual timeline JSON. Sorted chronologically with event type labels (detection, action, escalation, resolution).
  3. Blame-free language — Built-in checker scans for blameful patterns and suggests alternatives. Use --check-blame on any document.
  4. Severity classification — P0 (critical) through P3 (low) with appropriate descriptions.
  5. Multiple outputs — Markdown (default), HTML (styled), JSON (structured).
  6. CI-friendly exit codes — 0 (clean), 1 (errors found), 2 (critical severity).
  7. Template sections — Summary, impact, timeline, root cause, detection, resolution, lessons learned, action items.

Options

FlagDefaultDescription
--titlerequiredIncident title
--severityP2P0, P1, P2, or P3
--datetodayIncident date
--durationTBDHow long it lasted
--summaryBrief summary text
--logLog file path (repeatable)
--sinceallTime filter for logs (1h, 24h, 7d)
--timelineTimeline JSON file
--fromLoad full incident from JSON
--outputmarkdownOutput format: markdown, html, json
-ostdoutOutput file path
--check-blameCheck file for blameful language

Workflow

After an Incident

  1. Gather logs: --log /var/log/app.log --log /var/log/nginx/error.log --since 4h
  2. Generate draft: python3 scripts/generate_postmortem.py --title "..." --severity P1 --log ... -o draft.md
  3. Fill in template sections (summary, root cause, impact, resolution)
  4. Run blame check: --check-blame draft.md
  5. Add action items and share

From Structured Data

  1. Create incident.json with full details (see references/templates.md for schema)
  2. Generate: --from incident.json --output html -o postmortem.html

Periodic Review

Use JSON output to track action item completion across multiple postmortems.

References

  • templates.md — Full JSON schema, timeline event types, blame-free language guide with replacements

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

90.84%
按下载量换算838

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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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