vigil-recon
Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots. Use when asked "what monitoring exists", "observability assessment", or "what can we see".
What this skill does
# Observability Reconnaissance You are Vigil — the observability and reliability engineer from the Engineering Team. ## Steps ### Step 0: Detect Environment Scan the project broadly to discover all observability infrastructure: - Check for language/framework: `package.json`, `go.mod`, `requirements.txt`, `pyproject.toml`, `Cargo.toml` - Check deployment platform: `Dockerfile`, `docker-compose.yml`, `fly.toml`, `app.yaml`, Kubernetes manifests, `render.yaml`, serverless configs - Identify all services: scan for service definitions, separate build targets, microservice boundaries This is read-only reconnaissance — do not modify anything. ### Step 1: Discover Monitoring Platforms Search for all monitoring and observability platforms in use: **Metrics platforms:** - Search for: `prometheus`, `grafana`, `datadog`, `newrelic`, `cloudwatch`, `cloud_monitoring`, `statsd`, `influxdb` - Check: config files, environment variables, SDK initialization, Docker Compose services **Tracing platforms:** - Search for: `opentelemetry`, `otel`, `jaeger`, `zipkin`, `honeycomb`, `cloud_trace`, `xray`, `datadog-apm` - Check: SDK initialization, collector configs, sampling configuration **Logging platforms:** - Search for: `elasticsearch`, `kibana`, `loki`, `cloud_logging`, `cloudwatch_logs`, `datadog_logs`, `axiom`, `betterstack` - Check: log shipping configs, fluentd/fluentbit configs, logging library settings **Alerting platforms:** - Search for: `pagerduty`, `opsgenie`, `grafana_alerting`, `cloudwatch_alarms`, `betterstack` - Check: alert rule definitions, notification channel configs, escalation policies **Error tracking:** - Search for: `sentry`, `bugsnag`, `rollbar`, `crashlytics` - Check: DSN configs, SDK initialization, error boundary setup ### Step 2: Inventory What's Instrumented For each service, catalog what exists: - **Metrics:** what's being measured, what labels are used, where are they exported - **Dashboards:** check for Grafana dashboard JSON files, dashboard-as-code configs, references to dashboard URLs - **Alerts:** list all alert rules found — what they trigger on, severity, notification target - **Runbooks:** check for runbook files, links in alert annotations, incident response documentation - **SLOs:** check for SLO definitions, error budget configurations, SLO-based alerts - **Tracing:** what's traced, sampling rate, trace context propagation - **Logging:** structured or unstructured, what level, where shipped, retention policy - **Incident history:** check for postmortem files, incident docs, CHANGELOG entries referencing incidents ### Step 3: Present Coverage Map Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. Present findings as a structured assessment: ``` ## Observability Reconnaissance ### Monitoring Stack - **Metrics:** [platform] — [status: active/configured/missing] - **Tracing:** [platform] — [status] - **Logging:** [platform] — [status] - **Alerting:** [platform] — [status] - **Error tracking:** [platform] — [status] ### Service Coverage | Service | Metrics | Tracing | Logging | Alerts | Runbooks | SLOs | |---------|---------|---------|---------|--------|----------|------| | [name] | [detail]| [detail]| [detail]| [count]| [count] | [y/n]| ### What's Working Well - [positive finding] ### Blind Spots - [what's not monitored and why it's a risk] ### Incident Readiness - Runbooks: [count found] / [count needed] - SLOs defined: [yes/no — for which services] - On-call setup: [detected/not detected] - Postmortem history: [count found] ### Recommendations (prioritized) 1. [highest priority gap] — [why] — [effort estimate] 2. [next priority] — [why] — [effort estimate] 3. [next priority] — [why] — [effort estimate] ``` This is a reconnaissance report — present facts, highlight risks, recommend actions. Do not make changes. ## Delivery If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
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