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.
npx skills add aj-geddes/useful-ai-prompts --skill distributed-tracinggit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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.
[](https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/distributed-tracing)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/distributed-tracing"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/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.
<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/distributed-tracing"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/distributed-tracing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00513 |
| Opus 5 | $0.00017 | $0.00257 |
| Sonnet 5 | $0.00007 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
distributed-tracing 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 9d 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.
What it actually says
Distributed Tracing
Table of Contents
Overview
Set up distributed tracing infrastructure with Jaeger or Zipkin to track requests across microservices and identify performance bottlenecks.
When to Use
- Debugging microservice interactions
- Identifying performance bottlenecks
- Tracking request flows
- Analyzing service dependencies
- Root cause analysis
Quick Start
Minimal working example:
# docker-compose.yml
version: "3.8"
services:
jaeger:
image: jaegertracing/all-in-one:latest
ports:
- "5775:5775/udp"
- "6831:6831/udp"
- "16686:16686"
- "14268:14268"
networks:
- tracing
networks:
tracing:
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Jaeger Setup | Jaeger Setup, Node.js Jaeger Instrumentation |
| Express Tracing Middleware | Express Tracing Middleware |
| Python Jaeger Integration | Python Jaeger Integration |
| Distributed Context Propagation | Distributed Context Propagation |
| Zipkin Integration | Zipkin Integration, Trace Analysis |
Best Practices
✅ DO
- Sample appropriately for your traffic volume
- Propagate trace context across services
- Add meaningful span tags
- Log errors with spans
- Use consistent service naming
- Monitor trace latency
- Document trace format
- Keep instrumentation lightweight
❌ DON'T
- Sample 100% in production
- Skip trace context propagation
- Log sensitive data in spans
- Create excessive spans
- Ignore sampling configuration
- Use unbounded cardinality tags
- Deploy without testing collection
What ships with it
7 files 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.
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.
- 9d ago First seen · 87 lines · 35 tokens per session scan A 1c21fbfef572
distributed-tracing is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 513 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 2026-09-03.
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