Borrowing it
Nothing to install: this file belongs to pareelamre/analyzing-llm-rationale. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pareelamre/analyzing-llm-rationale/main/.agents/skills/otel-generic-style/SKILL.mdgit clone --depth 1 https://github.com/pareelamre/analyzing-llm-rationaleWrote 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/pareelamre/analyzing-llm-rationale/otel-generic-style)<a href="https://agentmods.dev/skills/pareelamre/analyzing-llm-rationale/otel-generic-style"><img src="https://agentmods.dev/badge/skills/pareelamre/analyzing-llm-rationale/otel-generic-style/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/pareelamre/analyzing-llm-rationale/otel-generic-style"><img src="https://agentmods.dev/badge/skills/pareelamre/analyzing-llm-rationale/otel-generic-style.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00072 | $0.02492 |
| Opus 5 | $0.00036 | $0.01246 |
| Sonnet 5 | $0.00014 | $0.00498 |
| Haiku 4.5 | $0.00007 | $0.00249 |
Grade A, and why
otel-generic-style 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 10d 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.
For shell scripts and one-shot tools, even a single `curl` POST to This is a copy
100% identical to otel-generic-style — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generic OTel Style
Use this skill for any language that does not have its own otel-*-style
companion (Go, Java/Kotlin, Ruby, Rust, .NET/C#, PHP, Elixir, plain
Node/TypeScript without Next.js or Expo, etc.). Read otel-onboarding-style
first for the cross-language rules; this skill is the language-agnostic
translation of that guidance.
If a language-specific skill exists for the runtime in front of you
(otel-python-style, otel-fastapi-style, otel-livekit-style,
otel-nextjs-style, otel-expo-style, otel-supabase-edge-style), prefer
that one — it overrides this skill.
Use the language's official OTel SDK
Pull the SDK and exporters from the OpenTelemetry project for that language. Do not invent helper APIs around it. Examples:
- Go:
go.opentelemetry.io/otel,otel/sdk,otel/exporters/otlp/otlptrace/otlptracehttp - Java/Kotlin:
io.opentelemetry:opentelemetry-sdk+opentelemetry-exporter-otlp(or the Java agent for auto-instrumentation) - Ruby:
opentelemetry-sdk,opentelemetry-exporter-otlp,opentelemetry-instrumentation-all - Rust:
opentelemetry,opentelemetry_sdk,opentelemetry-otlp - .NET/C#:
OpenTelemetry,OpenTelemetry.Exporter.OpenTelemetryProtocol, frameworkOpenTelemetry.Instrumentation.*packages - PHP:
open-telemetry/sdk,open-telemetry/exporter-otlp - Elixir:
:opentelemetry,:opentelemetry_api,:opentelemetry_exporter - Plain Node/TS:
@opentelemetry/sdk-node+@opentelemetry/auto-instrumentations-node(use@vercel/otelfor Next.js — seeotel-nextjs-style)
Use HTTP OTLP exporters, not gRPC. gRPC pulls in native bindings that break bundlers, slim containers, and serverless cold starts.
Acquire tracers/meters once, at module/package scope
Whatever the idiomatic "module top" is in that language — package-level vars
in Go, static fields in Java/.NET, top-of-file constants in Ruby/Node,
@moduledoc-level attributes in Elixir. Don't construct a fresh tracer or
meter on every call.
// Go
var (
tracer = otel.Tracer("mugline.api")
meter = otel.Meter("mugline.api")
ordersSubmitted, _ = meter.Int64Counter("orders.submitted")
)
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.
- 10d ago First seen · 225 lines · 72 tokens per session scan A 1a380d02523f
otel-generic-style is a skill published in the GitHub repository pareelamre/analyzing-llm-rationale (0 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 2,492 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to otel-generic-style, differing in 0 lines, and is treated as a copy.
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