AI & Agents·v1.0.0

DeepEval Tracing Agent Skill

Instrument an AI application with DeepEval's native tracing so its behavior is visible in Confident AI.

Context cost
3.8k tokensestimated from the bundle, loaded when it triggers
Bundle
4 files · 15.3 kBtext throughout, nothing executable
Licence
Apache-2.0the author’s own terms
Last change
—v1.0.0
Servers it uses
Noneruns standalone

What it does

Instrument an AI application with DeepEval's native tracing so its behavior is visible in Confident AI. TRIGGER when the user wants to add DeepEval tracing or @observe to an LLM app, agent, RAG pipeline, or chatbot; wire a framework, model-provider, or vector-database integration (LangGraph, LangChain, OpenAI Agents, LlamaIndex, Pydantic AI, CrewAI, and others); choose between a native integration and manual instrumentation; set span types, tags, or metadata; or send DeepEval-SDK traces to Confident AI's Observatory.

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.

agentsevalsobservabilitytracing
Filed under

AI & Agents

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.md5.1 kB · preview
--- name: deepeval-tracing license: Apache-2.0 metadata: author: Confident AI version: "1.0.0" category: observability tags: "deepeval, tracing, observe, instrumentation, integrations, spans, confident-ai" compatibility: "Python with `pip install deepeval`. Instrumentation uses the DeepEval SDK (`deepeval.tracing`). Sending traces to Confident AI requires `deepeval login` or an exported `CONFIDENT_API_KEY`." ---
25# DeepEval Tracing
26
27Use this skill to instrument an **AI application** — an LLM app, agent, RAG
28pipeline, or chatbot — with **DeepEval's native tracing** so its execution is
29visible span by span in **Confident AI's Observatory**. The work is: pick a
30supported integration when one exists, fall back to manual @observe
31otherwise, give each span a meaningful type, and add tags and metadata.
32
33This skill stops at producing well-formed traces. Attaching evaluation metrics
34and running evals is the deepeval skill's job.
35
36## Scope: AI Applications Only
37
38Instrument only the AI parts of the system — agent loops and planning, LLM
39calls, retrieval / vector search, and tool calls. The span types (llm,
40retriever, tool, agent) describe AI components. Do not trace non-AI
41software (web servers, CRUD backends, infrastructure). If the target has no
42LLM, agent, retrieval, or tool-calling component, this skill does not apply.
43
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md726 words
Files4
LicenceApache-2.0
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.

≈330
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,495
on trigger
The instruction body and 3 supporting files, read only when the skill fires.
1.9%
of a 200k window
Ten skills this size would take about 19% of the window before you open a file.
050k100k150k200k context window

3.8k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

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

4 files, 15.3 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md5.1 kB
  • LICENSE0.2 kB
  • references/integrations.md3.8 kB
  • references/tracing.md6.2 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 4 files you can review in full before installing. The Apache-2.0 licence covers the templates and examples as well as the instructions.

Install

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

# DeepEval Tracing · 3.8k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/deepeval-tracing/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/deepeval-tracing" ] && { [ ! -e .claude/skills/deepeval-tracing ] || { mv .claude/skills/deepeval-tracing "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/deepeval-tracing" .claude/skills/ && echo "Installed .claude/skills/deepeval-tracing"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add confident-ai/deepeval-tracing

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/deepeval-tracing/ 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/deepeval-tracing/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/deepeval-tracing" ] && { [ ! -e ~/.claude/skills/deepeval-tracing ] || { mv ~/.claude/skills/deepeval-tracing "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/deepeval-tracing" ~/.claude/skills/ && echo "Installed ~/.claude/skills/deepeval-tracing" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/deepeval-tracing/ 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
Version1.0.0
Publishedno release date on file
PriceFree
Referenceconfident-ai/deepeval-tracing

Versions

v1.0.0 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.

v1.0.0
  • 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 — v1.0.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

Reviews

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Anybody with an account, one review each. It carries the version that was current when you wrote it, and the publisher may reply once.

Who wrote it

CA
confident-ai

Publishes on mcprush.

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