distributed-tracing

distributed-tracing is a skill for Claude Code, Codex from LiHongwei-cn/lihongwei-cn. It costs 20 tokens per session (2,649 once invoked), scanned A, original, MIT.

A guide to distributed tracing with Jaeger and Tempo, which records a request's path across multiple services so teams can see where time is spent and where failures occur.

In plain words
What is it for?
It helps trace request paths, debug slow responses, analyze service dependencies, identify bottlenecks, and follow errors across microservices.
Why use it?
It makes latency, service dependencies, bottlenecks, and error propagation easier to locate in systems made of many services.

Skill for Claude CodeCodex

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

Good fit It helps trace request paths, debug slow responses, analyze service dependencies, identify bottlenecks, and follow errors across microservices.

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

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/distributed-tracing/github.svg)](https://agentmods.dev/skills/lihongwei-cn/lihongwei-cn/distributed-tracing)
Your own site
<a href="https://agentmods.dev/skills/lihongwei-cn/lihongwei-cn/distributed-tracing"><img src="https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/distributed-tracing/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/lihongwei-cn/lihongwei-cn/distributed-tracing"><img src="https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/distributed-tracing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,649 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00020 $0.02649
Opus 5 $0.00010 $0.01324
Sonnet 5 $0.00004 $0.00530
Haiku 4.5 $0.00002 $0.00265

Measured 7d ago against content hash 51595c2d16e4, 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 scanned grade A with 1 finding 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 7d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get('http://downstream-service/api', headers=headers)
mundo-cloud/skills/aas-observability-ir/distributed-tracing/SKILL.md · 459 lines

How it starts

The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Distributed Tracing

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.

Do not use this skill when

  • The task is unrelated to distributed tracing
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Purpose

Track requests across distributed systems to understand latency, dependencies, and failure points.

Use this skill when

  • Debug latency issues
  • Understand service dependencies
  • Identify bottlenecks
  • Trace error propagation
  • Analyze request paths

Distributed Tracing Concepts

Trace Structure

Trace (Request ID: abc123)
  ↓
Span (frontend) [100ms]
  ↓
Span (api-gateway) [80ms]
  ├→ Span (auth-service) [10ms]
  └→ Span (user-service) [60ms]
      └→ Span (database) [40ms]

Key Components

  • Trace - End-to-end request journey
  • Span - Single operation within a trace
  • Context - Metadata propagated between services
  • Tags - Key-value pairs for filtering
  • Logs - Timestamped events within a span

Jaeger Setup

Kubernetes Deployment

# Deploy Jaeger Operator
kubectl create namespace observability
kubectl create -f https://github.com/jaegertracing/jaeger-operator/releases/download/v1.51.0/jaeger-operator.yaml -n observability

# Deploy Jaeger instance
kubectl apply -f - <<EOF
apiVersion: jaegertracing.io/v1
kind: Jaeger
metadata:
  name: jaeger
  namespace: observability
spec:
  strategy: production
  storage:
    type: elasticsearch
    options:
      es:
        server-urls: http://elasticsearch:9200
  ingress:
    enabled: true
EOF

Docker Compose

version: '3.8'
services:
  jaeger:
    image: jaegertracing/all-in-one:latest
    ports:
      - "5775:5775/udp"
      - "6831:6831/udp"
      - "6832:6832/udp"
      - "5778:5778"
      - "16686:16686"  # UI
      - "14268:14268"  # Collector
      - "14250:14250"  # gRPC
      - "9411:9411"    # Zipkin
    environment:
      - COLLECTOR_ZIPKIN_HOST_PORT=:9411

Read the full file on GitHub · 459 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. 7d ago First seen · 459 lines · 20 tokens per session scan A 51595c2d16e4

Subscribe to this mod's changes

distributed-tracing is a skill published in the GitHub repository LiHongwei-cn/lihongwei-cn (5 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,649 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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