api-telemetry

api-telemetry is a skill for Claude Code from cyanheads/medical-codes-mcp-server. It costs 85 tokens per session (10,469 once invoked), scanned A, a copy of api-telemetry, Apache-2.0.

A reference guide to the OpenTelemetry monitoring built into `@cyanheads/mcp-ts-core`. OpenTelemetry records traces, measurements, and related logs so developers can inspect how requests run.

In plain words
What is it for?
Use it to configure telemetry export, add custom spans or measurements, investigate missing monitoring data, and follow rules for safely labeling recorded data.
Why use it?
It explains what the framework records automatically, how requests and handler activity are linked, and why some HTTP monitoring behaves differently on Bun.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the medical-codes-mcp-server plugin — 33 skills, 1 MCP server shipped together

Good fit Use it to configure telemetry export, add custom spans or measurements, investigate missing monitoring data, and follow rules for safely labeling recorded data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cyanheads/medical-codes-mcp-server/api-telemetry
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 cyanheads/medical-codes-mcp-server --skill api-telemetry
Clone the repo
git clone --depth 1 https://github.com/cyanheads/medical-codes-mcp-server

Made for: Claude Code.

Or install medical-codes-mcp-server, the plugin that ships this one along with the rest of its 33 skills, 1 MCP server.

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 api-telemetry

README.md
[![agentmods](https://agentmods.dev/badge/skills/cyanheads/medical-codes-mcp-server/api-telemetry/github.svg)](https://agentmods.dev/skills/cyanheads/medical-codes-mcp-server/api-telemetry)
Your own site
<a href="https://agentmods.dev/skills/cyanheads/medical-codes-mcp-server/api-telemetry"><img src="https://agentmods.dev/badge/skills/cyanheads/medical-codes-mcp-server/api-telemetry/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 api-telemetry

Your own site · 80×15
<a href="https://agentmods.dev/skills/cyanheads/medical-codes-mcp-server/api-telemetry"><img src="https://agentmods.dev/badge/skills/cyanheads/medical-codes-mcp-server/api-telemetry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,469 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 100% copy Near-identical to another mod 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 $0.00085 $0.10469
Opus 5.5 $0.00034 $0.04188
Sonnet 5.5 $0.00017 $0.02094
Haiku 4.5 $0.00009 $0.01047

Measured 11d ago against content hash 237f5724cf33, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

api-telemetry 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 11d 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.

Origin

This is a copy

100% identical to api-telemetry — 16 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.

framework-skills/api-telemetry/SKILL.md · 332 lines

How it starts

The opening of the file, as written. The whole thing — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

The framework auto-instruments every tool, resource, prompt, storage, LLM, speech, and graph call — each gets its own span and the standard counters/histograms. HTTP server requests pick up spans from HttpInstrumentation (all Node.js HTTP traffic, skips /healthz) plus httpInstrumentationMiddleware from @hono/otel on the MCP HTTP endpoint when installed (optional Tier 3 peer — bun add @hono/otel). On Bun, HttpInstrumentation silently no-ops and @hono/otel is the only HTTP coverage. Auth checks and session lifecycle are tracked as metrics only — auth decorates the active HTTP span with attributes, sessions emit counters.

requestId, traceId, and tenantId correlate automatically across spans, metrics, and logs. Framework log records carry traceId/spanId from the request context.

A handler's ctx.traceId / ctx.spanId name the execution span it runs in — tool_execution:<name> or resource_read:<name> — not the enclosing HTTP request span. Under HTTP the trace ID is the request's, so handler logs join to the request; the span ID is the child execution's, so they join to that span's attributes and duration. On stdio, where no transport span exists, both are still populated from the execution span the framework opens. Both are undefined when telemetry is disabled: the non-recording span a disabled pipeline produces carries all-zero IDs, and the framework reports no correlation rather than IDs that correlate to nothing.

For the helper API surface (withSpan, createCounter, createHistogram, buildTraceparent, etc.) — see the api-utils skill, Telemetry section. This skill is the catalog of what is emitted; that one is the reference for how to emit your own.


Enabling export

OTel is off by default. OTEL_ENABLED=true alone does nothing — you also need an OTLP endpoint. Without an endpoint the SDK is configured but nothing leaves the process.

Env var Default Purpose
OTEL_ENABLED false Master switch. Must be true to start the SDK.
OTEL_EXPORTER_OTLP_ENDPOINT — OTLP/HTTP base URL (e.g. http://localhost:4318). Traces go to <base>/v1/traces, metrics to <base>/v1/metrics; a path prefix is kept.
OTEL_EXPORTER_OTLP_TRACES_ENDPOINT — OTLP/HTTP traces endpoint (e.g. http://localhost:4318/v1/traces). Overrides the base for traces; used as-is.
OTEL_EXPORTER_OTLP_METRICS_ENDPOINT — OTLP/HTTP metrics endpoint (e.g. http://localhost:4318/v1/metrics). Overrides the base for metrics; used as-is.
OTEL_EXPORTER_OTLP_LOGS_ENDPOINT — OTLP/HTTP logs endpoint (e.g. http://localhost:4318/v1/logs). Opt-in log export; used as-is and never derived from the base.
OTEL_SERVICE_NAME createApp name → package.json name service.name resource attribute. Seeded from createApp({ name }) when unset; an env value wins.
OTEL_SERVICE_VERSION package.json version service.version resource attribute.
OTEL_TRACES_SAMPLER_ARG 1.0 Trace sampling ratio (0–1) for TraceIdRatioBasedSampler.
OTEL_LOG_LEVEL INFO OTel diagnostic logger level (NONE/ERROR/WARN/INFO/DEBUG/VERBOSE/ALL; warning/err/information accepted). Diag output goes to stderr at every level, never stdout.

Read the full file on GitHub · 332 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. 11d ago Changed · +37 lines 237f5724cf33
  2. 1mo ago Changed · +42 lines 24aa1e46913c
  3. 1mo ago First seen · 253 lines · 85 tokens per session scan A bb656e39dd17

Subscribe to this mod's changes

api-telemetry is a skill published in the GitHub repository cyanheads/medical-codes-mcp-server (2 stars, last pushed 12d ago), licensed Apache-2.0. It adds 85 tokens to every session and 10,469 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to api-telemetry, differing in 16 lines, and is treated as a copy.

Related

Other skills, from other repositories

tool-prompt-optimization

Optimize the description prompts an AI agent reads to learn its built-in tools (the .md files under prompts/tools/). Two halves: (1) measure how much of a prompt is already inferable from the tool's JSON parameter schema + name, to prune redundancy with evidence; (2) house authoring rules for what belongs in a tool…

can1357/oh-my-pi · 0 tokens

semantic-compression

Re-encode verbose prose into a dense telegraphic register — punctuation as connectives, label frames, verbless assertions — without losing normativity or precision. Use when compressing system prompts, tool/function descriptions, skill bodies, or agent instructions; reducing token count or context bloat; making…

can1357/oh-my-pi · 77 tokens

annotating-variants

Annotates VCF variants and normalizes HGVS nomenclature with public, license-free annotators (Ensembl VEP REST, VEP/SnpEff/ANNOVAR offline) and links variants to gnomAD population frequencies and the clinical context OpenMed extracts. Use when the user wants to predict variant consequences, map HGVS to genomic…

maziyarpanahi/openmed · 179 tokens

auditing-part11-trails

Generates and verifies 21 CFR Part 11-style audit trails — who/what/when, electronic signatures, and tamper-evidence — for OpenMed pipelines in GxP and clinical-trial (GCP) settings. Use when the user runs OpenMed in a regulated/validated environment and needs an attributable, time-stamped, tamper-evident record of…

maziyarpanahi/openmed · 222 tokens

batch-processing-clinical-text

Run large-scale batch NER, PII extraction, or de-identification over many clinical notes on-device with OpenMed, with sharding, checkpointing, resumability, and append-only JSONL output. Use when the user needs to process a corpus or folder of notes, de-identify a dataset, run NER over thousands of documents, build a…

maziyarpanahi/openmed · 161 tokens

choosing-openmed-models

Discover and pick the right OpenMed model for a clinical or biomedical task, domain, or language. Use when the user asks which OpenMed model to use, wants to list model categories, find a Disease vs Oncology vs Privacy/PII model, get a PII model for a specific language, search models by size or task, or inspect a…

maziyarpanahi/openmed · 134 tokens