Arize Instrumentation Agent Skill

Adds Arize AX tracing to an LLM application for the first time.

Context cost
15.7k tokensestimated from the bundle, loaded when it triggers
Bundle
10 files · 62.8 kBtext throughout, nothing executable
Licence
not declarednone named by its author
Last change
—v2.0
Servers it uses
Noneruns standalone

What it does

Adds Arize AX tracing to an LLM application for the first time. Detects the stack, routes to the single matching integration doc, wires auto-instrumentation after user confirmation, and verifies traces land. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

analytics

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md9.9 kB · preview
--- name: arize-instrumentation metadata: author: arize version: "2.0" ---
9# Arize Instrumentation Skill
10
11Add **Arize AX tracing** to an app for the first time: **detect the stack → fetch the one matching integration doc → wire auto-instrumentation → verify a trace lands.**
12
13**Route locally.** Map the detected stack to a single doc page via [references/integration-routing.md](references/integration-routing.md) (exhaustive for tracing integrations) and fetch **only that page**. When the app uses an agent framework, route on the **framework**, not the provider SDK it wraps — a bare openai/anthropic import inside a framework app is not the integration target; route to a provider page only when the app calls the provider SDK directly with no framework in play. If the stack isn't listed there, it has no dedicated integration — use [manual instrumentation](https://arize.com/docs/ax/instrument/manual-instrumentation). Never bulk-fetch the [PROMPT.md](https://arize.com/docs/PROMPT.md)/[llms.txt](https://arize.com/docs/llms.txt) aggregates.
14
15**Rules:** inspect before mutating; tracing is additive, never change business logic; follow existing style; no secrets in code and **never ask the user to paste secrets (API keys, tokens) into the chat** -- reference ARIZE_API_KEY/ARIZE_SPACE_ID env vars only, set by the user in their own .env/shell; preserve or ask for the app's Arize region/export endpoint instead of assuming US -- see [references/regions-and-endpoints.md](references/regions-and-endpoints.md); ask before persistent local state (ax profiles, .zshrc, env vars) -- see [references/ax-profiles.md](references/ax-profiles.md).
16
17## Phase 1: Analysis (read-only — no code/files)
18
19Detect from manifests + imports: language, package manager, LLM providers, frameworks, existing tracing (TracerProvider, register(), ARIZE_*/OTEL_*, Datadog/Honeycomb), existing Arize endpoint/region config (ARIZE_COLLECTOR_ENDPOINT, an in-code Arize endpoint option, or an OTEL_EXPORTER_OTLP_ENDPOINT confirmed to target Arize), and whether the app runs tools / an agent loop (manual CHAIN/TOOL spans only if the matched framework instrumentor doesn't already cover them — decided in Phase 2). **Confirm scope first** — a monorepo, multiple services, or multiple frameworks needs a "which one?" question before touching anything; don't pick for the user.
20
21Output a short summary (stack, proposed integration, existing tracing, scope). If the target is clear and the user asked to instrument now, continue; if ambiguous or analysis-only was requested, stop and confirm.
22
23## Phase 2: Implementation (after the target is confirmed)
24
251. **Fetch the matched integration doc** and follow its install + wiring verbatim.
262. **Install** with the detected package manager, before writing code — exact packages come from the matched doc. Python base: arize-otel (latest **0.13.0**, verify on PyPI) + openinference-instrumentation-{name} (package hyphens, import underscores). TS/JS: @opentelemetry/sdk-trace-node + the matched @arizeai/openinference-* (or a first-party exporter, e.g. Mastra's @mastra/arize). Go has **no integration doc** — see [references/go.md](references/go.md) for install, wiring, flush, and manual spans.
273. **Credentials and region** — app needs an API key + Space + exporter endpoint/region. Inspect only the target app's own config; never scan sibling repos/shell files, surface secrets, or accept a pasted key. See [references/credentials-and-config.md](references/credentials-and-config.md), [references/regions-and-endpoints.md](references/regions-and-endpoints.md), and [references/ax-profiles.md](references/ax-profiles.md).
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,161 words
Files10
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈120
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
15,580
on trigger
The instruction body and 9 supporting files, read only when the skill fires.
7.8%
of a 200k window
Ten skills this size would take about 79% of the window before you open a file.
050k100k150k200k context window

15.7k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

10 files, 62.8 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md9.9 kB
  • references/ax-profiles.md6.2 kB
  • references/credentials-and-config.md4.3 kB
  • references/go.md7.3 kB
  • references/integration-routing.md3.8 kB
  • references/manual-spans.md18.8 kB
  • references/regions-and-endpoints.md3.2 kB
  • references/session-tracking.md3.5 kB
  • references/tracing-assistant-mcp.md0.9 kB
  • references/verification.md4.9 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 10 files you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Arize Instrumentation · 15.7k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/arize-instrumentation/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/arize-instrumentation" ] && { [ ! -e .claude/skills/arize-instrumentation ] || { mv .claude/skills/arize-instrumentation "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/arize-instrumentation" .claude/skills/ && echo "Installed .claude/skills/arize-instrumentation"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add karanmrn/arize-instrumentation

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/arize-instrumentation/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/arize-instrumentation/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/arize-instrumentation" ] && { [ ! -e ~/.claude/skills/arize-instrumentation ] || { mv ~/.claude/skills/arize-instrumentation "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/arize-instrumentation" ~/.claude/skills/ && echo "Installed ~/.claude/skills/arize-instrumentation" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/arize-instrumentation/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version2.0
Publishedno release date on file
PriceFree
Referencekaranmrn/arize-instrumentation

Versions

v2.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v2.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v2.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

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