incident-runbook
Generate or audit an incident runbook for an alert/service from code, dashboards, and alert rules.
Skill by ShaileshRawat1403
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, security
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/incident-runbook
What's inside
- Skill name
incident-runbook- Description
- Generate or audit an incident runbook for an alert/service from code, dashboards, and alert rules. Output is a runbook plus a findings table of gaps. Findings follow the shared output contract.
- License
- MIT
- Instructions
- 110 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Incident Runbook Use this skill when the task is to produce a usable runbook (or to audit an existing one). The bar is that a sleepy on-call engineer can resolve or escalate the alert in under five minutes by following the runbook alone. ## Use when - a new alert is about to fire in production - on-call is paging on something that has no runbook - a postmortem flagged "no runbook" as a contributing factor - a runbook exists but goes stale — last updated more than 6 months ago, or the named systems have moved ## Workflow 1. **Identify the alert or scenario.** Get the alert rule, threshold, severity, and what dashboards or signals trigger it. If auditing an existing runbook, read it first and note what's already there. 2. **Confirm impact.** What does this alert *actually* mean for users? "p99 latency above 500ms" is not impact; "checkout completion drops by 5%" is. 3. **Locate the system.** Repo, service, deploy environment, dashboards, on-call rotation, owning team. 4. **Diagnostic ladder.** Order the checks from cheapest to most invasive: - Is the alert real? (compare against the dashboard, check for noisy thresholds) - Is upstream healthy? (dependencies, network, cloud provider status) - Is the deploy recent? (look at deploy markers and changelog) - Is there a known issue? (incidents channel, status page) - What does the log say for the affected request id / trace? 5. **Mitigation options.** List in order of safety: - No-action: ack and watch (when?) - Rollback the last deploy - Flip a feature flag or kill switch - Scale up - Restart - Failover to a healthy region/replica - Drain traffic 6. **Escalation path.** Who to page next, when, with what context. Include the data the next person will ask for. 7. **Post-mitigation.** What to capture for the postmortem (timeline, logs, dashboard snapshots, customer impact estimate). 8. **Maintenance.** Add a "last reviewed" date and a trigger for re-review (deploy of the owning service, SLO change, alert threshold change). ## Runbook structure to produce ``` # Runbook: <Alert or Scenario> Severity: <P1 | P2 | P3> Owners: <team / rotation> Dashboards: <links> Last reviewed: YYYY-MM-DD ## What this means <one paragraph on real-world impact> ## First five minutes 1. <cheap check> 2. <cheap check> 3. <cheap check> ## Diagnostic ladder | Check | How | What it tells you | | ... | ... | ... | ## Mitigation | Option | When to use | Risk | | ... | ... | ... | ## Escalation - After N minutes with no progress: page <next> - Bring: <context they will need> ## Postmortem capture - Timeline - Affected requests / users - Logs and traces to preserve ``` ## Checks - A runbook is not a code dump — link to dashboards and code rather than pasting them - Every link should still resolve; flag dead links - The runbook must name *people* or *rotations*, not "the team will handle it" - Avoid prescribing mitigations that require write access most on-callers don't have - Date the runbook — undated runbooks are presumed stale ## Output contract Findings follow [docs/skills/OUTPUT_CONTRACT.md](../../docs/skills/OUTPUT_CONTRACT.md). When generating a runbook, return: 1. **The runbook itself** in the structure above 2. **Gaps** — a table of information that was missing and had to be assumed or marked TODO 3. **Open questions** — items only the owning team can resolve When auditing an existing runbook, return: 1. **Verdict** — `usable as-is` / `usable with fixes` / `rewrite` 2. **Counts** — Critical/High/Medium/Low/Info 3. **Findings** — one table per category: - Impact framing - Diagnostic ladder - Mitigation safety and accessibility - Escalation specificity - Link freshness and date 4. **Open questions / assumptions** 5. **Next actions** ## Evidence to collect - Alert rule name, threshold, severity verbatim - Dashboard URLs and panel names - Service repo path and the owning team identifier - Deploy marker source (release workflow, git tag, deploy log) - Existing runbook path and last-modified date if auditing
From ShaileshRawat1403/dax, MIT.
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Signals
- Stars
- 5
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 16, 2026 (5 months ago)
- Last release
- Oct 8, 2026 (27 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ShaileshRawat1403/dax
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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incident-runbook skill. Agent Mart. https://agentmart.dev/skills/shaileshrawat1403-incident-runbook (last updated 2026-10-24)