distributed-tracing-rails

distributed-tracing-rails is a skill for Claude Code, Codex from sandeepmvl/rails-skills. It costs 128 tokens per session (2,199 once invoked), scanned A, original, MIT.

A guide to following one request as it moves through a Rails application and other services. It uses OpenTelemetry, an open standard for collecting traces, to connect work across HTTP calls, background jobs, databases, and message systems.

In plain words
What is it for?
Use it to add automatic tracing to Rails, Active Record, Sidekiq, HTTP clients, and Kafka; pass tracing context between services; connect traces to logs; and send trace data to systems such as Jaeger, Tempo, Honeycomb, or Datadog.
Why use it?
It removes the guesswork from investigating slow or failed requests that produce logs in several services. A shared trace identifier shows which operations belong to the same request.

Skill for Claude CodeCodex

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

Good fit Use it to add automatic tracing to Rails, Active Record, Sidekiq, HTTP clients, and Kafka; pass tracing context between services; connect traces to logs; and send trace data to systems such as Jaeger, Tempo, Honeycomb, or Datadog.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sandeepmvl/rails-skills/48-distributed-tracing-rails
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 sandeepmvl/rails-skills --skill 48-distributed-tracing-rails
Clone the repo
git clone --depth 1 https://github.com/sandeepmvl/rails-skills

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 distributed-tracing-rails

README.md
[![agentmods](https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/48-distributed-tracing-rails/github.svg)](https://agentmods.dev/skills/sandeepmvl/rails-skills/48-distributed-tracing-rails)
Your own site
<a href="https://agentmods.dev/skills/sandeepmvl/rails-skills/48-distributed-tracing-rails"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/48-distributed-tracing-rails/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for distributed-tracing-rails

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandeepmvl/rails-skills/48-distributed-tracing-rails"><img src="https://agentmods.dev/badge/skills/sandeepmvl/rails-skills/48-distributed-tracing-rails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,199 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.
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 $0.00128 $0.02199
Opus 5 $0.00064 $0.01099
Sonnet 5 $0.00026 $0.00440
Haiku 4.5 $0.00013 $0.00220

Measured 12d ago against content hash 3bdc2017beb6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

distributed-tracing-rails 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 12d 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/48-distributed-tracing-rails/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Distributed Tracing in Rails

When a request crosses 4 services, logs in 4 places, traces are the only way to follow it. OpenTelemetry is the vendor-neutral standard — instrument once, export anywhere. This skill sets up production-grade tracing for Rails with minimal noise.

The opinion

Use OpenTelemetry (OTel) — the CNCF standard, vendor-neutral, replaces vendor-specific APM agents. Use auto-instrumentation for Rails, Net::HTTP, Faraday, Sidekiq, Active Record. Propagate context across HTTP (W3C traceparent header), Sidekiq, and Kafka. Sample at the head (parent-based) by default; tune down for high-traffic services. Export to OTLP and let a collector fan out to your backend (Tempo, Honeycomb, Datadog).

Setup

# Gemfile
gem "opentelemetry-sdk"
gem "opentelemetry-exporter-otlp"
gem "opentelemetry-instrumentation-all"
# config/initializers/opentelemetry.rb
require "opentelemetry/sdk"
require "opentelemetry/exporter/otlp"
require "opentelemetry/instrumentation/all"

OpenTelemetry::SDK.configure do |c|
  c.service_name = ENV.fetch("OTEL_SERVICE_NAME", "rails-app")
  c.resource = OpenTelemetry::SDK::Resources::Resource.create(
    "service.version" => ENV.fetch("APP_VERSION", "unknown")
  )
  c.use_all  # turn on every instrumentation we have a gem for
end

Set via env:

  • OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector:4318
  • OTEL_RESOURCE_ATTRIBUTES=deployment.environment=production,service.namespace=ecommerce
  • OTEL_TRACES_SAMPLER=parentbased_traceidratio
  • OTEL_TRACES_SAMPLER_ARG=0.1 # 10% sampling

What use_all instruments

  • Rails (controllers, views, mailers)
  • Active Record (SQL queries)
  • Net::HTTP, Faraday, HTTPClient (outbound HTTP)
  • Sidekiq, Active Job (queue + perform)
  • Rack
  • Redis
  • Tilt (template render)
  • AwsSdk, MysqlClient, PG, Postgres

Each becomes a span. Auto-context-propagation works for HTTP and Active Job out of the box.

Pattern 1: Custom spans

class PaymentProcessor
  TRACER = OpenTelemetry.tracer_provider.tracer("payment_processor", "1.0")

  def charge(order)
    TRACER.in_span("charge_order", attributes: { "order.id" => order.id, "order.cents" => order.total_cents }) do |span|
      result = Stripe::PaymentIntent.create(...)
      span.set_attribute("stripe.payment_intent_id", result.id)
      result
    rescue Stripe::CardError => e
      span.record_exception(e)
      span.status = OpenTelemetry::Trace::Status.error("declined")
      raise
    end
  end
end

Read the full file on GitHub · 255 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 255 lines · 128 tokens per session scan A 3bdc2017beb6

Subscribe to this mod's changes

distributed-tracing-rails is a skill published in the GitHub repository sandeepmvl/rails-skills (21 stars, last pushed 3mo ago), licensed MIT. It adds 128 tokens to every session and 2,199 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

diagnose

Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.

emdash-cms/emdash · 43 tokens

repro-admin

Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.

emdash-cms/emdash · 48 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

byted-util-volcengine-detect-retry

An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.

bytedance/agentkit-samples · 101 tokens