agentsclimarketplace

Runbook creation

Skill BagelHole/DevOps-Security-Agent-Skills/compliance/continuity/runbook-creation

Agent-ready DevOps, security, infrastructure, and compliance knowledge base with 80+ skills across Kubernetes, Terraform, AWS/Azure/GCP, AI platform operations, container hardening, SOC2/ISO27001, and incident response—plus ready-to-run scripts, templates, and playbooks for SRE, platform, and security teams.

Install
npx -y skills add BagelHole/DevOps-Security-Agent-Skills --skill runbook-creation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Create operational runbooks and standard operating procedures. Document troubleshooting guides and recovery procedures. Use when documenting operational knowledge.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

12.9 KB, as published. Nobody here has run it

Runbook Creation

Create effective operational runbooks, standard operating procedures, and troubleshooting guides that any on-call engineer can follow under pressure.

Runbook Template — Full Structure

# Runbook: [Service / Process Name]

**Owner:** [Team or individual]
**Last Reviewed:** YYYY-MM-DD
**Version:** X.Y
**Severity if unavailable:** SEV[1-4]

---

## Overview

Brief description of the service, why this runbook exists, and when to
use it.

## Prerequisites

- [ ] Required access / IAM role: [details]
- [ ] Tools installed: [kubectl, aws-cli, psql, etc.]
- [ ] VPN connected to [environment]
- [ ] Communication channel open: [Slack #channel]

## Procedure

### Step 1 — [Action Name]

[Explanation of what this step does and why.]

```bash
# command here
```

**Expected output:** [describe what success looks like]

### Step 2 — [Action Name]

```bash
# command here
```

**Expected output:** [description]

*(Continue with numbered steps...)*

## Verification

How to confirm the procedure succeeded:

- [ ] [Check 1 — e.g., health endpoint returns 200]
- [ ] [Check 2 — e.g., no errors in logs for 5 minutes]
- [ ] [Check 3 — e.g., metrics return to baseline]

## Rollback

If the procedure fails or causes unexpected issues:

### Rollback Step 1
```bash
# rollback command
```

### Rollback Step 2
```bash
# rollback command
```

## Troubleshooting

| Symptom | Likely Cause | Resolution |
|---------|-------------|------------|
| [symptom 1] | [cause] | [fix] |
| [symptom 2] | [cause] | [fix] |

## Escalation

If unresolved after [X] minutes:
- **Primary:** @[team-lead] — [phone/Slack]
- **Secondary:** @[manager] — [phone/Slack]

## Related Runbooks

- [Link to related runbook 1]
- [Link to related runbook 2]

## Change Log

| Date | Author | Change |
|------|--------|--------|
| YYYY-MM-DD | [Name] | Initial version |

Example Runbook — Database Failover

# Runbook: PostgreSQL Database Failover

**Owner:** Platform / DBA team
**Last Reviewed:** 2025-06-15
**Version:** 2.1
**Severity if unavailable:** SEV1

---

## Overview

Failover the primary PostgreSQL instance to the synchronous replica when
the primary is unreachable or degraded. This runbook covers both planned
(maintenance) and unplanned (emergency) failover.

## Prerequisites

- [ ] DBA or SRE-level access to primary and replica hosts
- [ ] `psql` client installed (v14+)
- [ ] VPN connected to production network
- [ ] Slack channel #db-ops open
- [ ] Confirm replica is in sync: replication lag < 1 MB

## Procedure

### Step 1 — Verify Replica Health

```bash
psql -h replica.db.internal -U dba -d postgres -c \
  "SELECT pg_is_in_recovery(), pg_last_wal_replay_lsn();"
```

**Expected output:** `pg_is_in_recovery = t`, LSN advancing.

### Step 2 — Stop Application Writes

```bash
kubectl scale deployment api-server --replicas=0 -n production
kubectl scale deployment worker --replicas=0 -n production
```

**Expected output:** Deployments scaled to 0 pods.

### Step 3 — Confirm Write Quiesce

```bash
psql -h primary.db.internal -U dba -d postgres -c \
  "SELECT count(*) FROM pg_stat_activity WHERE state = 'active' AND query !~ 'pg_stat';"
```

**Expected output:** Count = 0 (no active queries).

### Step 4 — Promote Replica

```bash
psql -h replica.db.internal -U dba -d postgres -c "SELECT pg_promote();"
```

Wait up to 30 seconds, then confirm:

```bash
psql -h replica.db.internal -U dba -d postgres -c "SELECT pg_is_in_recovery();"
```

**Expected output:** `pg_is_in_recovery = f` (no longer a replica).

### Step 5 — Update DNS

```bash
aws route53 change-resource-record-sets \
  --hosted-zone-id Z1234567890 \
  --change-batch '{
    "Changes": [{
      "Action": "UPSERT",
      "ResourceRecordSet": {
        "Name": "db.internal.example.com",
        "Type": "CNAME",
        "TTL": 60,
        "ResourceRecords": [{"Value": "replica.db.internal"}]
      }
    }]
  }'
```

### Step 6 — Restart Application

```bash
kubectl scale deployment api-server --replicas=6 -n production
kubectl scale deployment worker --replicas=4 -n production
```

## Verification

- [ ] `psql -h db.internal.example.com -c "SELECT 1;"` returns successfully
- [ ] Application logs show successful DB connections (no errors for 5 min)
- [ ] Transaction throughput returns to baseline on Grafana dashboard
- [ ] No replication-lag alerts firing

## Rollback

If the promoted replica has issues, restore from the most recent backup:

```bash
# Restore latest automated snapshot (RDS example)
aws rds restore-db-instance-from-db-snapshot \
  --db-instance-identifier prod-db-restored \
  --db-snapshot-identifier prod-db-latest-snapshot
```

## Escalation

If unresolved after 15 minutes:
- **Primary:** @dba-lead — +1-555-0101
- **Secondary:** @platform-oncall — +1-555-0102

Automation Scripts for Common Operations

Service Health Check

#!/usr/bin/env bash
# health-check.sh — Check health of critical services
set -euo pipefail

SERVICES=(
  "https://api.example.com/healthz"
  "https://app.example.com/healthz"
  "https://admin.example.com/healthz"
)

EXIT_CODE=0

for url in "${SERVICES[@]}"; do
  HTTP_CODE=$(curl -so /dev/null -w '%{http_code}' --max-time 5 "$url" 2>/dev/null || echo "000")
  if [ "$HTTP_CODE" -eq 200 ]; then
    printf "  OK    %s\n" "$url"
  else
    printf "  FAIL  %s (HTTP %s)\n" "$url" "$HTTP_CODE"
    EXIT_CODE=1
  fi
done

exit $EXIT_CODE

Log Collection for Incident Investigation

#!/usr/bin/env bash
# collect-logs.sh — Gather logs from multiple sources for incident review
set -euo pipefail

INCIDENT_ID="${1:?Usage: collect-logs.sh <incident-id>}"
OUTDIR="/tmp/incident-${INCIDENT_ID}"
mkdir -p "$OUTDIR"

echo "Collecting logs for incident $INCIDENT_ID..."

# Kubernetes pod logs (last 30 min)
kubectl logs -l app=api-server -n production --since=30m \
  > "${OUTDIR}/api-server-pods.log" 2>&1

# CloudWatch Logs (last 30 min)
aws logs filter-log-events \
  --log-group-name /ecs/production/api \
  --start-time "$(date -d '30 minutes ago' +%s)000" \
  --output text > "${OUTDIR}/cloudwatch-api.log" 2>&1

# Database slow query log
psql -h db.internal -U dba -d postgres -c \
  "SELECT * FROM pg_stat_activity WHERE state != 'idle' ORDER BY query_start;" \
  > "${OUTDIR}/db-active-queries.log" 2>&1

# System resource snapshot
kubectl top pods -n production > "${OUTDIR}/pod-resources.log" 2>&1

echo "Logs saved to $OUTDIR"
tar czf "${OUTDIR}.tar.gz" -C /tmp "incident-${INCIDENT_ID}"
echo "Archive: ${OUTDIR}.tar.gz"

Certificate Expiry Check

#!/usr/bin/env bash
# cert-check.sh — Warn if TLS certificates expire within 30 days
set -euo pipefail

DOMAINS=(
  "api.example.com"
  "app.example.com"
  "admin.example.com"
)

WARN_DAYS=30
TODAY=$(date +%s)
EXIT_CODE=0

for domain in "${DOMAINS[@]}"; do
  EXPIRY=$(echo | openssl s_client -servername "$domain" -connect "${domain}:443" 2>/dev/null \
    | openssl x509 -noout -enddate 2>/dev/null | cut -d= -f2)
  EXPIRY_EPOCH=$(date -d "$EXPIRY" +%s 2>/dev/null || echo 0)
  DAYS_LEFT=$(( (EXPIRY_EPOCH - TODAY) / 86400 ))

  if [ "$DAYS_LEFT" -lt "$WARN_DAYS" ]; then
    printf "  WARN  %s expires in %d days (%s)\n" "$domain" "$DAYS_LEFT" "$EXPIRY"
    EXIT_CODE=1
  else
    printf "  OK    %s — %d days remaining\n" "$domain" "$DAYS_LEFT"
  fi
done

exit $EXIT_CODE

Disk Space Cleanup

#!/usr/bin/env bash
# disk-cleanup.sh — Free disk space on a host
set -euo pipefail

echo "=== Disk Usage Before ==="
df -h /

# Remove old journal logs (> 7 days)
journalctl --vacuum-time=7d 2>/dev/null || true

# Clean Docker artifacts
docker system prune -f --volumes 2>/dev/null || true

# Remove old log files
find /var/log -name "*.gz" -mtime +7 -delete 2>/dev/null || true
find /tmp -type f -mtime +3 -delete 2>/dev/null || true

echo "=== Disk Usage After ==="
df -h /

Runbook Review Checklist

Use this checklist every time a runbook is created or updated.

content_review:
  - [ ] Title clearly identifies the service and operation
  - [ ] Overview explains WHEN and WHY to use this runbook
  - [ ] Prerequisites list all required access, tools, and setup
  - [ ] Every step has a concrete command (no vague instructions)
  - [ ] Expected output is documented for each step
  - [ ] Verification section confirms success with specific checks
  - [ ] Rollback section exists and has been tested
  - [ ] Escalation contacts are current (names, phones, Slack handles)
  - [ ] Troubleshooting table covers the top 3-5 known failure modes

usability_review:
  - [ ] A new team member can follow the runbook without tribal knowledge
  - [ ] Steps are numbered and sequential (no branching without clear labels)
  - [ ] Commands can be copy-pasted (no placeholder values without explanation)
  - [ ] Time estimates included for long-running steps
  - [ ] No jargon or acronyms used without definition

maintenance_review:
  - [ ] Owner and last-reviewed date are set
  - [ ] Version number incremented
  - [ ] Change log entry added
  - [ ] Related runbooks section is up to date
  - [ ] Links to dashboards and docs are valid (not broken)

Runbook Testing Procedures

testing_strategy:
  dry_run:
    frequency: "Every time a runbook is created or substantially edited"
    method: "Walk through each step in a staging environment"
    goal: "Verify commands work and output matches documentation"

  peer_review:
    frequency: "Every edit"
    method: "Another engineer follows the runbook in staging without help"
    goal: "Confirm the runbook is self-contained and unambiguous"

  scheduled_validation:
    frequency: "Quarterly"
    method: "SRE team picks 5 runbooks at random, executes in staging"
    goal: "Catch runbooks that have drifted from production reality"

  incident_triggered:
    trigger: "Any time a runbook is used in a real incident"
    method: "Post-mortem includes runbook accuracy assessment"
    goal: "Capture improvements while the experience is fresh"

  automation_testing:
    method: "CI pipeline validates bash scripts with shellcheck and dry-run"
    example: |
      # .github/workflows/runbook-lint.yml
      name: Lint Runbook Scripts
      on: [pull_request]
      jobs:
        shellcheck:
          runs-on: ubuntu-latest
          steps:
            - uses: actions/checkout@v4
            - name: ShellCheck
              run: |
                find runbooks/ -name "*.sh" -exec shellcheck {} +

Versioning Strategy

versioning:
  storage: "Git repository — one directory per service, one file per runbook"
  naming: "runbooks/<service>/<operation>.md"
  branching: "PRs required for all changes; reviewed by service owner"

  version_scheme:
    format: "MAJOR.MINOR"
    major_bump: "Procedure changes that alter the steps or their order"
    minor_bump: "Clarifications, typo fixes, updated contact info"

  directory_layout: |
    runbooks/
      api-server/
        deploy.md
        rollback.md
        scale-up.md
      database/
        failover.md
        backup-restore.md
        vacuum-maintenance.md
      infrastructure/
        dns-update.md
        certificate-renewal.md
        disk-cleanup.md

  review_requirements:
    - PR must be approved by the service owner
    - CI must pass (shellcheck for scripts, markdown lint)
    - Reviewer confirms they can follow the steps independently

  retention: "Git history serves as full audit trail — never delete old versions"

Runbook Index Template

Keep a top-level index so engineers can find the right runbook quickly.

# Runbook Index

| Service | Runbook | Severity | Owner | Last Tested |
|---------|---------|----------|-------|-------------|
| API Server | [Deploy](api-server/deploy.md) | — | @platform | 2025-05-01 |
| API Server | [Rollback](api-server/rollback.md) | SEV1 | @platform | 2025-05-01 |
| Database | [Failover](database/failover.md) | SEV1 | @dba | 2025-04-15 |
| Database | [Backup Restore](database/backup-restore.md) | SEV2 | @dba | 2025-04-15 |
| Infra | [DNS Update](infrastructure/dns-update.md) | SEV2 | @sre | 2025-06-01 |
| Infra | [Cert Renewal](infrastructure/certificate-renewal.md) | SEV3 | @sre | 2025-06-01 |

Best Practices

  • Write runbooks for the engineer at 3 AM — clear, sequential, copy-pasteable
  • Include expected output so the operator knows if a step succeeded
  • Always provide a rollback path; every action should be reversible
  • Test runbooks in staging before they are needed in production
  • Keep runbooks in version control alongside the code they support
  • Assign an owner to every runbook; ownerless runbooks rot fast
  • After every incident, update the relevant runbook with lessons learned
  • Automate repetitive runbook steps into scripts, but keep the runbook as the orchestration guide so operators understand the "why"

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.