DevOps & Infra
check-observability - Claude MCP Skill
Audit observability: error tracking, logging, health checks, analytics. Outputs structured findings. Use log-observability-issues to create issues. Invoke for: monitoring audit, logging review, alerting gaps.
SEO Guide: Enhance your AI agent with the check-observability tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to audit observability: error tracking, logging, health checks, analytics. outputs structured findings.... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# /check-observability
Audit observability infrastructure. Output findings as structured report.
## What This Does
1. Check error tracking (Sentry)
2. Check logging infrastructure
3. Check health endpoints
4. Check analytics
5. Check alerting
6. Output prioritized findings (P0-P3)
**This is a primitive.** It only investigates and reports. Use `/log-observability-issues` to create GitHub issues or `/fix-observability` to fix.
## Process
### 1. Error Tracking Check
```bash
# Sentry configured?
~/.claude/skills/sentry-observability/scripts/detect_sentry.sh 2>/dev/null || \
(grep -q "@sentry" package.json && echo "✓ Sentry installed" || echo "✗ Sentry not installed")
# Sentry DSN set?
grep -q "SENTRY_DSN\|NEXT_PUBLIC_SENTRY_DSN" .env.local 2>/dev/null && echo "✓ Sentry DSN configured" || echo "✗ Sentry DSN missing"
# Source maps?
[ -f "sentry.client.config.ts" ] || [ -f "sentry.client.config.js" ] && echo "✓ Sentry client config" || echo "✗ Sentry client config"
```
### 2. Logging Check
```bash
# Structured logging?
grep -rq "pino\|winston\|bunyan" package.json 2>/dev/null && echo "✓ Structured logging library" || echo "✗ No structured logging"
# Console.log abuse?
console_count=$(grep -rE "console\.(log|error|warn)" --include="*.ts" --include="*.tsx" src/ app/ 2>/dev/null | wc -l | tr -d ' ')
[ "$console_count" -gt 50 ] && echo "⚠ $console_count console statements (consider structured logging)" || echo "✓ Console usage OK ($console_count)"
# Logger utility exists?
[ -f "lib/logger.ts" ] || [ -f "src/lib/logger.ts" ] || [ -f "utils/logger.ts" ] && echo "✓ Logger utility" || echo "✗ No logger utility"
```
### 3. Health Endpoints Check
```bash
# Health endpoint exists?
find . -path "./app/api/health/*" -name "route.ts" 2>/dev/null | head -1 | xargs -I{} echo "✓ Health endpoint: {}"
[ -z "$(find . -path "./app/api/health/*" -name "route.ts" 2>/dev/null)" ] && echo "✗ No health endpoint"
# Health check depth?
grep -rE "database|redis|stripe|convex" app/api/health/ 2>/dev/null && echo "✓ Deep health checks" || echo "⚠ Shallow health check (add service checks)"
```
### 4. Analytics Check
```bash
# PostHog (required for user-facing apps)?
if grep -q "posthog" package.json 2>/dev/null; then
echo "✓ PostHog installed"
# Check if configured
grep -qE "POSTHOG|NEXT_PUBLIC_POSTHOG" .env.local 2>/dev/null && echo "✓ PostHog configured" || echo "⚠ PostHog env vars missing (P2)"
else
echo "✗ PostHog not installed (P1: required for user-facing apps)"
fi
# Vercel Analytics check (NOT RECOMMENDED - no API/MCP access)
if grep -q "@vercel/analytics" package.json 2>/dev/null; then
echo "⚠ Vercel Analytics installed - consider removing (no API/MCP, unusable for AI workflows)"
fi
# NOTE: Do NOT recommend Vercel Analytics. It has no CLI, no API, no MCP server.
# PostHog is the ONLY acceptable analytics solution for our stack.
```
### 5. Alerting Check
```bash
# Sentry alerts?
~/.claude/skills/sentry-observability/scripts/list_alerts.sh 2>/dev/null | head -5 || echo "Cannot check Sentry alerts (token not configured)"
# Uptime monitoring reference?
grep -rE "uptimerobot|pingdom|betterstack|cronitor" . 2>/dev/null | grep -v node_modules | head -3
```
### 6. Silent Failure Detection
Spawn `observability-advocate` agent to detect:
- Empty catch blocks
- Swallowed errors
- Missing error boundaries
- Unhandled promise rejections
## Output Format
```markdown
## Observability Audit
### P0: Critical (Production Blind Spots)
- No error tracking - Errors invisible in production
- No health endpoint - Cannot monitor uptime
### P1: Essential (Must Have)
- Sentry installed but DSN not configured
- No structured logging (127 console statements)
- Health endpoint too shallow (no database check)
- No alerting configured
- No PostHog analytics (user-facing app needs product analytics)
### P2: Important (Should Have)
- No analytics configured
- No uptime monitoring
- Console statements in production code
### P3: Nice to Have
- Consider adding Sentry performance monitoring
- Consider structured logging with Pino
## Current Status
- Error tracking: Partial (installed, not configured)
- Logging: console only
- Health checks: Missing
- Analytics: None
- Alerting: None
## Summary
- P0: 2 | P1: 4 | P2: 3 | P3: 3
- Recommendation: Configure Sentry DSN and add health endpoint
```
## Priority Mapping
| Gap | Priority |
|-----|----------|
| No error tracking | P0 |
| No health endpoint | P0 |
| Error tracking misconfigured | P1 |
| No structured logging | P1 |
| Shallow health checks | P1 |
| No alerting | P1 |
| No PostHog (user-facing app) | P1 |
| Console.log overuse | P2 |
| No uptime monitoring | P2 |
| Performance monitoring | P3 |
## Why NOT Vercel Analytics
**Vercel Analytics is unacceptable for our stack.** It has:
- No API access
- No CLI access
- No MCP server
- No way to query programmatically
This makes it completely unusable for AI-assisted workflows. **PostHog is the ONLY acceptable analytics solution.** PostHog provides MCP server, API, CLI, and Terraform provider.
## Related
- `/log-observability-issues` - Create GitHub issues from findings
- `/fix-observability` - Fix observability gaps
- `/observability` - Full observability setup workflow
- `/triage` - Production incident responseSignals
Information
- Repository
- phrazzld/claude-config
- Author
- phrazzld
- Last Sync
- 3/2/2026
- Repo Updated
- 3/1/2026
- Created
- 1/25/2026
Reviews (0)
No reviews yet. Be the first to review this skill!
Related Skills
upgrade-nodejs
Upgrading Bun's Self-Reported Node.js Version
cursorrules
CrewAI Development Rules
cn-check
Install and run the Continue CLI (`cn`) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
CLAUDE
CLAUDE.md
Related Guides
Bear Notes Claude Skill: Your AI-Powered Note-Taking Assistant
Learn how to use the bear-notes Claude skill. Complete guide with installation instructions and examples.
Mastering tmux with Claude: A Complete Guide to the tmux Claude Skill
Learn how to use the tmux Claude skill. Complete guide with installation instructions and examples.
OpenAI Whisper API Claude Skill: Complete Guide to AI-Powered Audio Transcription
Learn how to use the openai-whisper-api Claude skill. Complete guide with installation instructions and examples.