Agent skill

Incident Postmortem

by revfactory in revfactory/harness-100

A full pipeline where an agent team collaborates to generate incident postmortem reports.

Apache-2.0Auto-check passedDevOps & Cloud

Install Incident Postmortem

skills CLI
$ npx skills add revfactory/harness-100 --skill incident-postmortem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 incident-postmortem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/incident-postmortem .claude/skills/incident-postmortem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
incident-postmortem
GitHub stars
1.3k
Token cost
~1.8k tokens
SKILL.md length
689 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

A full pipeline where an agent team collaborates to generate incident postmortem reports.

  • Works in 3 steps: Preparation (Performed directly by… → Team Assembly and Execution → Integrated Report Generation
  • Requests like write an incident postmortem
  • SKILL.md covers Execution Mode, Agent Composition, Workflow and Modes by Task Scale, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Incident Postmortem is an agent skill from revfactory/harness-100. A full pipeline where an agent team collaborates to generate incident postmortem reports. Systematically performs timeline reconstruction, root cause analysis, impact assessment, and remediation planning. Use this skill for requests like 'write an incident postmortem', 'post-incident analysis report', 'create an incident report', 'incident report', 'root cause analysis', 'RCA report', 'organize incident timeline', 'establish remediation measures', and other incident analysis tasks. Note: real-time incident…

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Runbooks and postmortems, Root cause analysis and Incident response. The licence is Apache-2.0.

When your agent uses it

  • Requests like write an incident postmortem
  • Post-incident analysis report
  • Create an incident report
  • Incident report

Example prompts

  • “write an incident postmortem”
  • “post-incident analysis report”
  • “create an incident report”
  • “/incident-postmortem”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Preparation (Performed directly by Orchestrator)
  2. Team Assembly and Execution
  3. Integrated Report Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Incident Postmortem loads about 1.8k tokens when it runs. Until then it costs about 159 tokens; SKILL.md has 689 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~159
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 689 words, ~1,811 tokens.

Download SKILL.mdSave it as .claude/skills/incident-postmortem/SKILL.md (or your agent's skills folder).
name
incident-postmortem
description
A full pipeline where an agent team collaborates to generate incident postmortem reports. Systematically performs timeline reconstruction, root cause analysis, impact assessment, and remediation planning. Use this skill for requests like 'write an incident postmortem', 'post-incident analysis report', 'create an incident report', 'incident report', 'root cause analysis', 'RCA report', 'organize incident timeline', 'establish remediation measures', and other incident analysis tasks. Note: real-time incident response (on-call), monitoring system setup, and alert configuration are outside the scope of this skill.

Incident Postmortem — Incident Post-Analysis Pipeline

An agent team collaborates to perform timeline reconstruction -> root cause analysis -> impact assessment -> remediation planning -> report generation.

Execution Mode

Agent Team — 5 members communicate directly via SendMessage and cross-validate each other.

Agent Composition

AgentFileRoleType
timeline-reconstructor.claude/agents/timeline-reconstructor.mdEvent collection, chronological ordering, gap identificationgeneral-purpose
root-cause-investigator.claude/agents/root-cause-investigator.md5 Whys, Fishbone, Fault Treegeneral-purpose
impact-assessor.claude/agents/impact-assessor.mdUser/revenue/SLA/reputation impact assessmentgeneral-purpose
remediation-planner.claude/agents/remediation-planner.mdShort/mid/long-term countermeasures, action itemsgeneral-purpose
postmortem-reviewer.claude/agents/postmortem-reviewer.mdCross-validation, blameless culture verificationgeneral-purpose

Workflow

Phase 1: Preparation (Performed directly by Orchestrator)
  1. Extract from user input:
    • Incident Description: What happened and when
    • Evidence (optional): Logs, metric screenshots, chat records, alert records
    • Impact Information (optional): Number of affected users, services, duration
    • Actions Taken (optional): Emergency measures already performed
  2. Create _workspace/ directory at the project root
  3. Organize input and save to _workspace/00_input.md
  4. If existing files are available, copy them to _workspace/ and skip the corresponding Phase
  5. Determine execution mode based on the scope of the request (see "Modes by Task Scale" below)
Phase 2: Team Assembly and Execution
OrderTaskAssigneeDependenciesDeliverable
1Timeline ReconstructionreconstructorNone_workspace/01_timeline.md
2aRoot Cause AnalysisinvestigatorTask 1_workspace/02_root_cause.md
2bImpact AssessmentassessorTask 1_workspace/03_impact_assessment.md
3Remediation PlanningplannerTasks 2a, 2b_workspace/04_remediation_plan.md
4Final ReviewreviewerTasks 1-3_workspace/05_review_report.md

Tasks 2a (root cause) and 2b (impact) can be executed in parallel.

Inter-team Communication Flow:

  • reconstructor completes -> delivers timeline and trigger candidates to investigator; delivers incident duration and metrics to assessor
  • investigator completes -> delivers root cause and contributing factors to planner
  • assessor completes -> delivers impact magnitude and SLA violation status to planner
  • planner completes -> delivers full countermeasures to reviewer
  • reviewer cross-validates all deliverables. Requests fixes for RED Must Fix items (up to 2 times)
Phase 3: Integrated Report Generation
  1. Generate _workspace/postmortem_report.md integrating all deliverables
  2. Report structure: Summary -> Timeline -> Root Cause -> Impact -> Remediation -> What Went Well -> Lessons Learned
  3. Deliver the final report to the user

Modes by Task Scale

User Request PatternExecution ModeDeployed Agents
"Write a postmortem report"Full PipelineAll 5 agents
"Organize the incident timeline"Timeline Modereconstructor + reviewer
"Analyze the root cause"RCA Modereconstructor + investigator + reviewer
"Just create remediation measures" (cause analysis exists)Remediation Modeplanner + reviewer
"Review this postmortem"Review Modereviewer only

Leveraging Existing Files: If the user provides existing timelines, cause analyses, etc., copy the files to the appropriate location in _workspace/ and skip the corresponding agent's step.

Show full SKILL.md (283 more words)Show less

Data Transfer Protocol

StrategyMethodPurpose
File-based_workspace/ directoryStore and share main deliverables
Message-basedSendMessageReal-time delivery of key information, fix requests
Task-basedTaskCreate/TaskUpdateProgress tracking, dependency management

Error Handling

Error TypeStrategy
Insufficient incident informationAsk user additional questions, tag uncertain parts with "[Unconfirmed]"
Logs/metrics inaccessibleReconstruct from verbal accounts, tag with "[Verbal account-based]"
Agent failureRetry once -> if fails, proceed without that deliverable, note omission in review
RED found in reviewRequest fix from relevant agent -> rework -> re-verify (up to 2 times)
Blaming language foundReviewer immediately requests fix — blameless culture is an absolute principle

Test Scenarios

Normal Flow

Prompt: "Yesterday at 2 PM the payment service was down for 30 minutes. It happened right after a deployment and was recovered by rollback. Create a postmortem report." Expected Result:

  • Timeline: Deployment -> incident start -> detection -> response -> rollback -> recovery in chronological order
  • Root Cause: Specific defect in deployed code, contributing factors like no canary deployment
  • Impact: User count, revenue loss, SLA impact estimates
  • Remediation: SMART action items like canary deployment adoption, auto-rollback, alert improvements
  • Integrated Report: Complete postmortem ready for executive reporting
Existing File Utilization Flow

Prompt: "Review this postmortem report" + report attached Expected Result:

  • Copy existing report to _workspace/
  • Execute in review mode
  • Verify consistency, completeness, and blameless culture adherence
  • Provide improvement suggestions
Error Flow

Prompt: "The API server was slow this morning. Analyze the cause." Expected Result:

  • Collect incident details through additional questions (time, impact, actions, etc.)
  • Execute RCA mode with collected information
  • Clearly mark uncertain parts

Agent Extension Skills

SkillPathEnhanced AgentRole
rca-methodology.claude/skills/rca-methodology/skill.mdroot-cause-investigator5 Whys, Fishbone, Fault Tree, change analysis, cognitive bias prevention
sla-impact-calculator.claude/skills/sla-impact-calculator/skill.mdimpact-assessorSLA/SLO/SLI framework, error budgets, revenue loss estimation, severity levels

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/25-incident-postmortem/.claude/skills/incident-postmortem of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Incident Postmortem next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Incident Postmortem compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Incident Postmortem this skillrevfactory/harness-1001.3k—~1.8kAutomated safety check: PassApache-2.0
Post-Incident DebriefVeryGoodOpenSource/vgv-wingspan108—~1.9kAutomated safety check: PassMIT
Conducting Post Incident Lessons Learnedmukul975/Anthropic-Cybersecurity-Skills34k—~1.7kAutomated safety check: PassApache-2.0
Incident Postmortemgithub/awesome-copilot40k—~1.8kAutomated safety check: PassMIT
Incident Response Patternsvibeeval/vibecosystem531—~709Automated safety check: PassMIT
Debug Production IssueFerroxLabs/wayland608—~3.8kAutomated safety check: PassApache-2.0

Similar skills

  • Post-Incident Debrief

    VeryGoodOpenSource/vgv-wingspan

    Produces a blameless post-incident debrief with timeline, root cause and follow-up actions after an outage, failed release or significant bug, while details are fresh.

    108 GitHub stars~1.9k tokensUpdated 7 days ago
    DevOps & CloudAuto-check passed
  • Conducting Post Incident Lessons Learned

    mukul975/Anthropic-Cybersecurity-Skills

    Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.

    34k GitHub stars~1.7k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Incident Postmortem

    github/awesome-copilot

    Official

    A skill your agent uses when an outage, production incident, or significant service degradation has occurred and the team needs to write a structured blameless post-mortem.

    40k GitHub stars~1.8k tokensUpdated today
    DevOps & CloudAuto-check passed
  • Incident Response Patterns

    vibeeval/vibecosystem

    Incident severity classification, runbook templates, root cause analysis, and post-incident review

    531 GitHub stars~709 tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Debug Production Issue

    FerroxLabs/wayland

    Orchestrates systematic production debugging from alert through root cause identification and resolution, chaining four engineering skills into a structured diagnostic pipeline.

    608 GitHub stars~3.8k tokensUpdated yesterday
    DevOps & CloudAuto-check passed
  • Incident Response Lifecycle

    LeoYeAI/openclaw-master-skills

    Incident response process management following the NIST 800-61 lifecycle.

    2.2k GitHub stars~5k tokensUpdated 2 mo ago
    DevOps & CloudAuto-check passed

More from revfactory/harness-100

All 464 skills in this repo
  • Anti Bot Analyzer

    revfactory/harness-100

    A skill for analyzing website anti-bot defense mechanisms and developing legitimate evasion strategies.

    1.3k GitHub stars~1.1k tokensUpdated 6 mo ago
    Auto-check passed
  • API Error Design Patterns

    revfactory/harness-100

    Reference for designing how an API reports failures: structured error codes, response shapes, client-friendly messages, an error catalog and retry or fallback advice.

    1.3k GitHub stars~1.6k tokensUpdated 6 mo ago
    Auto-check passed
  • API Security Checklist

    revfactory/harness-100

    Walks a backend-dev agent through OWASP API Top 10 checks, authentication and authorization patterns, and defense code during API design.

    1.3k GitHub stars~1.7k tokensUpdated 6 mo ago
    Auto-check passed
  • Arg Parser Generator

    revfactory/harness-100

    Methodology for systematically designing and generating CLI tool argument parser structures.

    1.3k GitHub stars~1.2k tokensUpdated 6 mo ago
    Auto-check passed
  • Audience Segmentation

    revfactory/harness-100

    Audience segmentation skill used by the analyst and curator agents.

    1.3k GitHub stars~1.3k tokensUpdated 6 mo ago
    Auto-check passed
  • Audio Storytelling

    revfactory/harness-100

    Audio storytelling skill used by the podcast scriptwriter and show note editor.

    1.3k GitHub stars~1.6k tokensUpdated 6 mo ago
    Auto-check passed

Categories

Questions about Incident Postmortem

What does Incident Postmortem do?

A full pipeline where an agent team collaborates to generate incident postmortem reports. Incident Postmortem is an agent skill from revfactory/harness-100. A full pipeline where an agent team collaborates to generate incident postmortem reports.

When should I use Incident Postmortem?

Incident Postmortem fits situations like: requests like write an incident postmortem; post-incident analysis report; create an incident report; incident report.

How do I install Incident Postmortem in Claude Code?

Run `npx skills add revfactory/harness-100 --skill incident-postmortem -a claude-code`. Or copy the skill folder (en/25-incident-postmortem/.claude/skills/incident-postmortem in revfactory/harness-100) into .claude/skills/incident-postmortem in your project. Claude Code loads it when a task matches its description.

How do I install Incident Postmortem in Codex?

Run `npx skills add revfactory/harness-100 --skill incident-postmortem -a codex`. Or copy the skill folder (en/25-incident-postmortem/.claude/skills/incident-postmortem in revfactory/harness-100) into .agents/skills/incident-postmortem in your project. Codex loads it when a task matches its description.

Can I use Incident Postmortem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill incident-postmortem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/incident-postmortem, .gemini/skills/incident-postmortem, .github/skills/incident-postmortem and .opencode/skills/incident-postmortem in your project.

What does Incident Postmortem need to run?

SKILL.md names no scripts, command-line tools or credentials: Incident Postmortem is instructions for the agent only.

Does Incident Postmortem access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Incident Postmortem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Incident Postmortem use?

Incident Postmortem is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Incident Postmortem use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Incident Postmortem?

Skills that share tags, products or a category with Incident Postmortem: Post-Incident Debrief (VeryGoodOpenSource/vgv-wingspan, 108 stars), Conducting Post Incident Lessons Learned (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Incident Postmortem (github/awesome-copilot, 40k stars) and Incident Response Patterns (vibeeval/vibecosystem, 531 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Incident Postmortem?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.