Review Logging Patterns
Review code for logging patterns and suggest evlog adoption. Optionally use @evlog/cli (`evlog init` to wire evlog, `evlog agents` to write the conventions into AGENTS.md, `evlog map` to score entry-point coverage, `--baseline` to gate regressions in CI) on Nuxt, Nitro, Next.js, TanStack Start, and Hono. Guides setup on those plus SvelteKit, React Router, NestJS, Express, Fastify, Elysia, oRPC, Cloudflare Workers, AWS Lambda, Astro, and standalone TypeScript. Detects console.log spam, unstructured errors, and missing context. Covers wide events, structured errors, drain adapters (Axiom, OTLP, HyperDX, PostHog, Sentry, Better Stack, Datadog, Loki, ClickHouse, NuxtHub, Memory), sampling, enrichers, and AI SDK integration.
- Skill ID
- evloghq/evlog/review-logging-patterns
- Publisher
- evloghq
- Repository
- evlog
- Installs
- 0
- Files
- 5
- License
- MIT
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
evloghq/evlog/review-logging-patternsInstalls these files- SKILL.md
- references/code-review.md
- references/drain-pipeline.md
- references/structured-errors.md
- references/wide-events.md
What this skill tells the agent
Review logging patterns
Review and improve logging patterns in TypeScript/JavaScript codebases. Transform scattered console.logs into structured wide events and convert generic errors into self-documenting structured errors.
When to Use
- Setting up evlog in a new or existing project (any supported framework)
- Reviewing code for logging best practices
- Converting console.log statements to structured logging
- Improving error handling with better context
- Configuring log draining, sampling, or enrichment
Quick Reference
| Working on... | Resource |
|---|---|
| Setup (CLI) | `evlog init`: wire evlog into the project |
| Project conventions (CLI) | `evlog agents`: write the evlog block into the project's AGENTS.md |
| Coverage map (CLI) | `evlog map`: score dark entry points |
| CI gating (CLI) | `evlog map --min-score / --baseline`: gate regressions |
| Wide events patterns | references/wide-events.md |
| Error handling | references/structured-errors.md |
| Code review checklist | references/code-review.md |
| Drain pipeline | references/drain-pipeline.md |
| Audit logs | build-audit-logs skill + docs |
Audit logs
For security-sensitive actions (auth, billing, admin, data export), use evlog's audit layer: a typed audit field on wide events, not a parallel logger. See the `build-audit-logs` skill for end-to-end setup (log.audit, withAudit, denials, auditEnricher, auditOnly, signed, mockAudit).
log.audit({
action: 'invoice.refund',
actor: { type: 'user', id: user.id },
target: { type: 'invoice', id: invoice.id },
outcome: 'success',
})Docs: https://www.evlog.dev/use-cases/audit/overview
Installation
npm install evlogUse the CLI (recommended on Nuxt, Nitro, Next.js, TanStack Start, Hono)
@evlog/cli is a separate package from evlog, early but worth trying. It reads the project on disk (no traffic, no config). On the five supported frameworks it covers the whole loop: wire evlog in (init), score coverage (map), lock the score in CI (--min-score, --baseline). If the CLI is unavailable, the framework has no adapter yet, or the user declines, continue with the manual sections below; the skill does not depend on it. Ask before installing anything; prefer npx / pnpm dlx for one-shots.
1. Setup: evlog init
On a project that doesn't use evlog yet, prefer init over hand-writing the setup, since it detects the framework, reads what the project already has, and generates config, drains, enrichers, and extras in one pass. It is fully scriptable for agents:
# preview everything without writing (always start here)
npx @evlog/cli init --dry-run --yes
# then apply — flags instead of prompts
npx @evlog/cli init --yes \
--service my-app \
--drain fs \
--prodDrain axiom \
--extras enrichers,pipeline,sampling \
--sampling mediumUseful flags: --framework (override detection: nuxt, nitro, next, tanstack-start, hono), --prodDrain (comma-separated: axiom, otlp, posthog, sentry, better-stack, datadog, hyperdx), --extras (enrichers, pipeline, sampling, vite, error-catalog, audit-catalog, ai, better-auth), --enrichers, --sampling (traffic tier: all, low, medium, high, very-high), --apps (monorepo: which workspace packages), --no-install. Review the --dry-run output with the user before applying. Docs: https://www.evlog.dev/cli/init
2. Score: evlog map
npx @evlog/cli map --no-write
# agents: npx @evlog/cli map --json --no-writeWhat you get:
- A project score and which entry points are still dark
- FIX FIRST: the three most valuable places to fix
- GOING FURTHER: opportunities (catalogs, audit coverage, AI logging, auth identity) that never cost points
- Per-file inspect:
npx @evlog/cli map <file> --no-writeshows the shape the handler could take - Re-run after fixes and watch the score move
Work FIX FIRST in order, keep changes minimal (useLogger(), log.set(), log.audit(), createError({ why, fix })), then re-run with --no-write. Omit --no-write only when the user wants evlog.map.json written.
3. Lock it in CI: --min-score and --baseline
After fixing, propose making the score durable. This is where the CLI earns its keep:
# in CI, after pnpm add -D @evlog/cli (project-local, pinned by the lockfile)
pnpm exec evlog map --min-score 80 # absolute gate: exits 1 below the threshold
pnpm exec evlog map --baseline # ratchet: exits 1 if this PR made things worse--baseline compares the fresh scan against the committed evlog.map.json, per entry point and per requirement, so a refactor that instruments one route and breaks another fails even if the total score is unchanged. Disabling a passing check with a comment counts as a regression too. New uninstrumented routes are listed as NEW AND DARK without failing. Workflow: commit evlog.map.json once, add the --baseline run to CI (pnpm add -D @evlog/cli for a pinned version, and ask first), then re-run map without --baseline to accept an intentional change. Docs: https://www.evlog.dev/cli/ci
Early days: adapters and rules are still evolving; expect scores to move between releases. Docs: https://www.evlog.dev/cli/map · Rules: https://www.evlog.dev/cli/rules
Framework Setup
Nuxt
// nuxt.config.ts
export default defineNuxtConfig({
modules: ['evlog/nuxt'],
evlog: {
env: { service: 'my-app' },
include: ['/api/**'],
},
})useLogger, log, and parseError are auto-imported. createError is not: a bare one resolves to h3's, which drops why, fix, and link. Import it from evlog.
// server/api/checkout.post.ts — no imports needed
export default defineEventHandler(async (event) => {
const log = useLogger(event)
log.set({ user: { id: user.id, plan: user.plan } })
return { success: true }
})Drain, enrich, and tail sampling use Nitro hooks in server plugins:
// server/plugins/evlog-drain.ts
import { createAxiomDrain } from 'evlog/axiom'
export default defineNitroPlugin((nitroApp) => {
nitroApp.hooks.hook('evlog:drain', createAxiomDrain())
})Client transport (auto-configured Vue plugin):
// nuxt.config.ts
evlog: {
transport: { enabled: true }, // logs sent to /api/_evlog/ingest
}Client-side: log, setIdentity, clearIdentity are auto-imported in components.
Next.js
Step 1: Create central config. All exports come from here:
// lib/evlog.ts
import type { DrainContext } from 'evlog'
import { createEvlog } from 'evlog/next'
import { createUserAgentEnricher, createRequestSizeEnricher } from 'evlog/enrichers'
import { createDrainPipeline } from 'evlog/pipeline'
const enrichers = [createUserAgentEnricher(), createRequestSizeEnricher()]
const pipeline = createDrainPipeline<DrainContext>({ batch: { size: 50, intervalMs: 5000 } })
const drain = pipeline(createAxiomDrain({ dataset: 'logs', apiKey: process.env.AXIOM_API_KEY! }))
export const { withEvlog, useLogger, log, createError } = createEvlog({
service: 'my-app',
sampling: {
rates: { info: 10 },
keep: [{ status: 400 }, { duration: 1000 }],
},
routes: {
'/api/auth/**': { service: 'auth-service' },More from evloghq
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