incident-postmortem
GitHub生成结构化、无责难的事故复盘报告。基于根因分析,梳理时间线、影响范围及促成因素,输出具体可执行的改进行动项,并与action-runner联动以闭环修复流程。
Trigger Scenarios
Install
npx skills add mohitagw15856/pm-claude-skills --skill incident-postmortem -g -y
SKILL.md
Frontmatter
{
"name": "incident-postmortem",
"homepage": "https:\/\/mohitagw15856.github.io\/pm-claude-skills\/skill\/incident-postmortem.html",
"metadata": {
"openclaw": {
"emoji": "⚙️"
}
},
"description": "Write a structured incident postmortem or post-incident review. Use when asked to write a postmortem, incident report, P1\/P2 review, outage report, or RCA (root cause analysis). Produces a blameless postmortem with timeline, root cause, contributing factors, impact summary, and action items."
}
Incident Postmortem Skill
This skill produces a complete, blameless incident postmortem document following industry-standard format. Output enforces blameless framing throughout — system gaps over individual failures — and drives toward specific, closeable action items rather than vague process commitments.
Proposes Actions
The action items don't have to stay on the page: hand them to action-runner, which previews them (dry-run, risk-rated), runs only what you approve via the connected action MCP, and records what was done back to the brain. Typical: file a follow-up issue per action item (🟡), assigned to its owner with a due date. This skill proposes; action-runner gates and runs — never silently.
Where this sits — turning an incident into fixes
Third in the incident-response spine: /slo-error-budget (frame) →
/debugging-log-analyser → incident-postmortem → /oncall-runbook. It receives the
root-cause diagnosis from /debugging-log-analyser (read it rather than
re-diagnosing) and hands /oncall-runbook the contributing factors and prioritised
action items — and the error budget from /slo-error-budget decides how urgent those
actions are. Blameless, root cause vs contributing factors, and action item are
defined once in docs/craft/incident-response.md;
blameless is the load-bearing rule.
The loop
A postmortem fails the moment it assigns blame — the honest data dries up and every future incident is under-reported. Phase 1 sets that frame; everything depends on it.
- Establish blameless framing first. State up front that this examines the system that let a competent person make the move, never the person. This isn't politeness — it's the precondition for the truthful timeline the rest of the skill needs. Done when: the framing is explicit and no sentence in the document blames an individual; failures are attributed to system gaps.
- Build the timeline from evidence. Reconstruct start → detection → mitigation → resolution with real timestamps (from the diagnosis and logs, not memory). Detection, mitigation, and resolution are distinct events — track each. Done when: the timeline has real timestamps and separates detection/mitigation/ resolution, and the impact is quantified (users, duration, scope).
- Find the root cause AND the contributing factors. The root cause is one thing; the contributing factors are what let it reach users and persist (the missing alert, the skipped canary, the unclear runbook). A postmortem with a root cause and no contributing factors hasn't looked hard enough. Done when: at least the load-bearing contributing factors are named, each pointing at a system gap that's fixable.
- Drive to owned, dated action items — governed by the budget. Convert factors into
specific action items, each with an owner and a date; vague "improve monitoring"
items decay. Prioritise them against the error budget (spent → now; healthy → soon).
Done when: every action item has an owner and a date, and
/oncall-runbookcould turn the detection/mitigation learnings into an entry without re-analysing the incident.
Required Inputs
Ask the user for these if not provided:
- Incident title / ID
- Severity (P1 / P2 / P3 or SEV1 / SEV2 / SEV3)
- Date and duration of the incident
- What happened (rough notes are fine — the skill will structure them)
- Services or systems affected
- Customer impact (how many users, what was degraded)
- How it was detected
- How it was resolved
- Initial thoughts on root cause
- Action items already identified (optional)
- Responders (who was on-call or responded — names or roles; used for the timeline, not for blame)
- Customer or external communications sent (optional — any status page updates, emails, or support messages with timestamps)
Output Format
Incident Postmortem: [Incident Title]
Incident ID: [ID] Severity: [P1/P2/P3] Date: [Date] Duration: [Start time → Resolution time — total duration] Status: [Resolved / Monitoring / Ongoing] Author: [Leave blank for user to fill] Last updated: [Date]
Executive Summary
[3–5 sentences. Describe what happened, who was affected, and what was done to resolve it. Written for a non-technical stakeholder. No jargon. No blame.]
Impact
| Dimension | Details |
|---|---|
| Users affected | [Number or percentage] |
| Services degraded | [List affected services] |
| Business impact | [Revenue, SLA breach, support tickets, etc. if known] |
| Duration | [Total time from first detection to full resolution] |
Timeline
List events in chronological order. Each entry: [HH:MM UTC] — [What happened. Who did what. What changed.]
Rules for timeline entries:
- Use passive or system-focused language — avoid "X made a mistake"
- Include: first symptom, detection, escalation, hypothesis tested, fix applied, confirmation of resolution
- Note time between key events (e.g. "22 minutes between detection and escalation")
Timeline, drawn — also render the incident timeline as a Mermaid Gantt so the gaps (e.g. detection → escalation) are visible at a glance (it renders live in the playground and exports as PNG). Use the incident phases as bars; keep it blameless and system-focused:
gantt
title Incident timeline (UTC)
dateFormat HH:mm
axisFormat %H:%M
section Phases
Undetected impact :22:00, 18m
Detection :milestone, 22:18, 0m
Investigation :22:18, 22m
Mitigation :22:40, 15m
Resolved :milestone, 22:55, 0m
Root Cause
Primary root cause: [One clear sentence. Technical but plain. "A misconfigured deployment config caused..."]
Contributing factors:
- [Factor 1 — e.g. lack of canary deployment meant change hit 100% of traffic immediately]
- [Factor 2 — e.g. alert threshold was set too high to catch the initial degradation]
- [Factor 3 — add as many as are relevant]
Why did our existing safeguards not prevent this? [Honest paragraph explaining why monitoring, tests, or processes didn't catch this earlier. This is where blameless analysis matters most — focus on system gaps, not individual failures.]
Detection
- How was it first detected? [Customer report / automated alert / internal monitoring / manual observation]
- Time from incident start to detection: [X minutes]
- Should we have detected this faster? [Yes / No — and why]
Resolution
What fixed it? [Clear description of the actual fix — one paragraph] Why did this work? [Brief technical explanation] Was there a temporary mitigation before full resolution? [Yes/No — describe if yes]
Action Items
| # | Action | Owner | Due Date | Priority |
|---|---|---|---|---|
| 1 | [Specific, testable action] | [Team or person] | [Date] | P1/P2/P3 |
Rules for action items:
- Each action must be specific enough to close as "done" or "not done" — no vague items like "improve monitoring"
- Distinguish between: Prevent recurrence (fix the root cause), Improve detection (catch it faster next time), Improve response (resolve it faster next time)
- Assign a real owner — not "team" or "TBD" if avoidable
- Flag P1 actions as items that block the incident from being marked fully closed
What Went Well
[3–5 honest observations about the response. Include: fast collaboration, good runbooks used, effective escalation, clear communication. This section builds team confidence and reinforces good habits.]
Lessons Learned
[3–5 key insights from this incident that are worth sharing beyond this team. Write these as transferable lessons — e.g. "Our runbook for database failover didn't account for read-replica lag. All runbooks involving database failover should be reviewed."]
Communication Log
[Optional — list external communications sent: status page updates, customer emails, support responses. Include timestamps.]
Scoring Rubric (0–40)
Score any output of this skill before handing it over; 32+ is ship-quality.
| Dimension | 0 | 5 | 10 |
|---|---|---|---|
| Blamelessness with truth | Names-and-shames, or sanitizes so much the story vanishes | Blameless wording but individual actions blurred | Individuals' actions stated factually inside a systems framing — honest and safe at once |
| Root-cause depth | Stops at the symptom or "human error" | Names a system gap but only one "why" deep | Root cause plus contributing factors explain why the system allowed it, not just what broke |
| Timeline forensic quality | Sparse, unordered, or missing detection-to-resolution beats | Complete but without timestamps or decision points | Timestamped, includes detection lag, decision points, and dead ends actually explored |
| Action-item accountability | Vague improvements, no owners | Owners assigned but items unticketable or dateless | Every item ticketable with owner and due date, mapped to a root cause or contributing factor |
Quality Checks
- Timeline has no blame-focused language
- Root cause is specific (not "human error")
- Root cause answers "why did this happen?" not just "what happened?" — it names a system or process gap, not a symptom
- Contributing factors explain the systemic gaps
- Every action item has an owner and due date
- "What went well" section is genuine, not token
- No action item contains vague language like "improve monitoring", "increase resilience", or "better testing" — each must name a specific change
- Executive summary is readable by non-technical leadership
Anti-Patterns
- Do not assign blame to individuals — postmortems must focus on system and process failures
- Do not write action items with vague language like "improve monitoring" — each must name a specific, ownable change
- Do not skip the contributing factors — root cause alone misses the systemic issues that enable incidents
- Do not omit the detection timeline — how long it took to detect matters as much as how long it took to resolve
- Do not treat the postmortem as closed until all action items have named owners and due dates
Usage Examples
- "Write a postmortem for the [incident name] outage"
- "Help me write a P1 incident report"
- "Generate an RCA document for [service] going down on [date]"
- "Draft a blameless postmortem from these notes: [paste notes]"
Version History
-
a462f61
Current 2026-08-12 13:43
升级事故响应流程为标准旗舰质量,强化阶段循环与完成标准,确立SLO错误预算为决策依据及无责原则。
- 54fad50 2026-07-19 12:22


