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 jabrena/plinth --skill 183-java-observability-tracing-opentelemetrygit clone --depth 1 https://github.com/jabrena/plinthWrote 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/jabrena/plinth/183-java-observability-tracing-opentelemetry)<a href="https://agentmods.dev/skills/jabrena/plinth/183-java-observability-tracing-opentelemetry"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/183-java-observability-tracing-opentelemetry/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/jabrena/plinth/183-java-observability-tracing-opentelemetry"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/183-java-observability-tracing-opentelemetry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00098 | $0.00641 |
| Opus 5 | $0.00049 | $0.00320 |
| Sonnet 5 | $0.00020 | $0.00128 |
| Haiku 4.5 | $0.00010 | $0.00064 |
Grade A, and why
183-java-observability-tracing-opentelemetry 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Java Distributed Tracing with OpenTelemetry
Implement robust distributed tracing in Java with OpenTelemetry by modeling meaningful spans, preserving context propagation, and instrumenting critical business and infrastructure paths with low-overhead, privacy-safe telemetry.
What is covered in this Skill?
- OpenTelemetry tracing fundamentals for Java services
- Span design: boundaries, parent/child relationships, and operation naming
- Context propagation across HTTP, messaging, async tasks, and thread boundaries
- Semantic conventions and stable attribute naming
- Error/status/event recording best practices
- Sampling strategy and performance/cost trade-offs
- Privacy and security controls for trace attributes
- Testing and verification of trace propagation and span correctness
Scope: Distributed tracing quality in application and integration layers, focused on diagnosability, consistency, and operational safety.
Constraints
Tracing instrumentation must preserve context correctly and avoid leaking sensitive data. Over-instrumentation and high-cardinality attributes can harm cost and signal quality.
- PROPAGATION FIRST: Ensure context propagation across all sync/async boundaries before adding extra span detail
- NO SENSITIVE DATA: Never store secrets, credentials, tokens, raw payloads, or PII in span attributes/events
- LOW CARDINALITY ATTRIBUTES: Avoid unbounded values in attributes that are used for aggregation/search
- VERIFY: Run
./mvnw clean verifyormvn clean verifyafter applying tracing changes
When to use this skill
- Improve tracing
- Apply OpenTelemetry tracing
- Add distributed tracing
- Refactor tracing instrumentation
- Instrument Java services with OpenTelemetry spans
Workflow
- Define trace model and critical flows
Identify high-value request and async flows, define operation boundaries, and choose span names/attributes aligned with semantic conventions.
- Instrument and propagate context
Add OpenTelemetry spans to key boundaries and ensure trace context is propagated across HTTP clients/servers, messaging, and executor-based async work.
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.
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.
- 7d ago First seen · 64 lines · 98 tokens per session scan A 130ceb0f3df5
183-java-observability-tracing-opentelemetry is a skill published in the GitHub repository jabrena/plinth (438 stars, last pushed yesterday), licensed Apache-2.0. It adds 98 tokens to every session and 641 once invoked, about $0.0005 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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