data-telemetry-expert

data-telemetry-expert is a skill for Claude Code, Codex from roedyrustam/vibes-plug. It costs 48 tokens per session (2,064 once invoked), scanned A, original, MIT.

A guide to collecting and using application data such as logs, metrics, traces, and product-usage events. It covers OpenTelemetry, PostHog, ClickHouse, Grafana, and monitoring for AI agent runs.

In plain words
What is it for?
Use it to add distributed tracing, structured logs, metrics, funnels, feature flags, session replay, ClickHouse analytics pipelines, and AI response-quality monitoring.
Why use it?
It helps reveal where software fails, how users use a product, and how much automated or AI work costs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to add distributed tracing, structured logs, metrics, funnels, feature flags, session replay, ClickHouse analytics pipelines, and AI response-quality monitoring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/roedyrustam/vibes-plug/data-telemetry-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add roedyrustam/vibes-plug --skill data-telemetry-expert
Clone the repo
git clone --depth 1 https://github.com/roedyrustam/vibes-plug

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-telemetry-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/data-telemetry-expert.svg)](https://agentmods.dev/skills/roedyrustam/vibes-plug/data-telemetry-expert)
Your own site
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/data-telemetry-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/data-telemetry-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,064 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.02064
Opus 5 $0.00024 $0.01032
Sonnet 5 $0.00010 $0.00413
Haiku 4.5 $0.00005 $0.00206

Measured 8d ago against content hash 5c4195a6c0f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

data-telemetry-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/data-telemetry-expert/SKILL.md · 220 lines

How it starts

The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data & Telemetry Expert (OpenTelemetry 1.x / ClickHouse Edition)

English | Bahasa Indonesia


English

Orchestration & Integration

Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.

Description

Expert guide for production observability, product analytics, and data pipelines. Covers OpenTelemetry 1.x (stable, vendor-neutral traces/metrics/logs), PostHog (open-source product analytics), ClickHouse (OLAP analytics database), Grafana stack, and AI agent observability patterns.

Trigger Conditions

  • Adding distributed tracing to a microservice or Next.js application.
  • Setting up structured logging and metrics collection.
  • Implementing product analytics (funnel analysis, feature flags, session replay).
  • Building a high-performance analytics pipeline with ClickHouse.
  • Monitoring AI agent runs, LLM token costs, and response quality.

OpenTelemetry 1.x — Vendor-Neutral Observability

OpenTelemetry (OTel) is the CNCF standard for generating traces, metrics, and logs from any application.

Three Pillars of OTel
Signal What It Captures Example
Traces Request flow across services GET /api/users → DB query → cache
Metrics Numeric measurements over time http_requests_total, db_query_duration
Logs Structured event records {"level":"error","msg":"DB timeout"}
Next.js 15 + OTel Instrumentation
// instrumentation.ts (Next.js built-in OTel support)
export async function register() {
  if (process.env.NEXT_RUNTIME === 'nodejs') {
    const { NodeSDK } = await import('@opentelemetry/sdk-node');
    const { OTLPTraceExporter } = await import('@opentelemetry/exporter-trace-otlp-http');
    const { OTLPMetricExporter } = await import('@opentelemetry/exporter-metrics-otlp-http');
    const { PeriodicExportingMetricReader } = await import('@opentelemetry/sdk-metrics');
    const { Resource } = await import('@opentelemetry/resources');
    const { SEMRESATTRS_SERVICE_NAME } = await import('@opentelemetry/semantic-conventions');

    const sdk = new NodeSDK({
      resource: new Resource({
        [SEMRESATTRS_SERVICE_NAME]: 'my-saas-app',
      }),
      traceExporter: new OTLPTraceExporter({
        url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT,
      }),
      metricReader: new PeriodicExportingMetricReader({
        exporter: new OTLPMetricExporter(),
        exportIntervalMillis: 30_000,
      }),
    });

    sdk.start();
  }
}

Read the full file on GitHub · 220 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 220 lines · 48 tokens per session scan A 5c4195a6c0f4

Subscribe to this mod's changes

data-telemetry-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 2,064 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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