domino-trace-setup SKILL.md skillA
domino-trace-setup from dominodatalab/domino-ai-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dominodatalab/domino-ai-plugin/domino-trace-setup@git:20261014.681e9c1Pins git:20261014.681e9c1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dominodatalab/domino-ai-plugin
- Path
skills/domino-trace-setup/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261014.681e9c1, committed Oct 14, 2026
- First version recorded
- Oct 1, 2026
- Size
- 7,081 bytes
- Repository stars
- 3
- License
- MIT
Set up GenAI tracing for an LLM or agent application in Domino by checking the Domino SDK and MLflow requirements (the DSE needs nothing installed), then adding a tracing_setup.py helper, span evaluators, a config.yaml, and @add_tracing / DominoAgentContext wiring. Use when the user asks to add tracing, observability, or evaluation to an agent or LLM app running on Domino.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Set Up Domino GenAI Tracing Applies to Domino 6.3 and Domino Cloud. Instrument an agent or LLM application so its calls, spans, and evaluator scores show up in Domino's Experiment Manager. For traditional ML tracking, use the `domino-experiment-setup` skill instead. For evaluator patterns, multi-agent examples and the full context-manager reference, use the `domino-genai-tracing` skill. ## Inputs 1. **LLM framework**: `openai` (default), `anthropic`, or `langchain`. Detect from the code if possible. 2. **Agent name**: name for the traced entry-point function (letters, digits, `_` and `-` only). 3. **Evaluator**: whether to add quality scoring, and whether to use an LLM-as-judge. 4. **Aggregated metrics**: which evaluator metrics to summarize per run, and with which statistic. Model access is not an input. Tracing instruments whichever client the agent already uses (a provider SDK, a Domino-hosted endpoint, or LLM Gateway 2.0 where it is installed: `domino-llm-access`, `domino-llm-gateway`); do not change it. Pass that client to `create_llm_judge_evaluator(client=...)` so the judge shares it; through the gateway, model names are aliases. ## Steps …
Read the whole file at its exact version.
How to install
mdr add dominodatalab/domino-ai-plugin/domino-trace-setup@sha256:999757c923d61ef0The line at the top of this page pins the label git:20261014.681e9c1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_k5deh5baegpm5lwn)
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Versions
The registry has recorded 3 versions of this file, between Oct 1, 2026 and Oct 14, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.681e9c1 latest | 2026-10-14 | 681e9c1 | 7,081 B | A | view · diff |
| git:20261002.020837c | 2026-10-02 | 020837c | 3,762 B | A | view · diff |
| git:20261001.b8e8054 | 2026-10-01 | b8e8054 | 3,822 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7081 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
dominodatalab/domino-ai-plugin · 3 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k5deh5baegpm5lwn GET https://markdownregistry.com/api/v1/resolve?ref=dominodatalab/domino-ai-plugin/domino-trace-setup GET https://markdownregistry.com/api/v1/blob/999757c923d61ef0cfd387737382d9458d4d1f91341f78a74645e96dfe6ba94c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.