arize-experiment
INVOKE THIS SKILL when creating, running, or analyzing Arize experiments.
Skill by raverx-dev
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What's inside
- Skill name
arize-experiment- Description
- INVOKE THIS SKILL when creating, running, or analyzing Arize experiments. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI.
- License
- MIT
- Instructions
- 323 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- ax-profiles.md · references/
- ax-setup.md · references/
SKILL.md (first lines)
# Arize Experiment Skill
## Concepts
- **Experiment** = a named evaluation run against a specific dataset version, containing one run per example
- **Experiment Run** = the result of processing one dataset example -- includes the model output, optional evaluations, and optional metadata
- **Dataset** = a versioned collection of examples; every experiment is tied to a dataset and a specific dataset version
- **Evaluation** = a named metric attached to a run (e.g., `correctness`, `relevance`), with optional label, score, and explanation
The typical flow: export a dataset → process each example → collect outputs and evaluations → create an experiment with the runs.
## Prerequisites
Proceed directly with the task — run the `ax` command you need. Do NOT check versions, env vars, or profiles upfront.
If an `ax` command fails, troubleshoot based on the error:
- `command not found` or version error → see references/ax-setup.md
- `401 Unauthorized` / missing API key → run `ax profiles show` to inspect the current profile. If the profile is missing or the API key is wrong: check `.env` for `ARIZE_API_KEY` and use it to create/update the profile via references/ax-profiles.md. If `.env` has no key either, ask the user for their Arize API key (https://app.arize.com/admin > API Keys)
- Space ID unknown → check `.env` for `ARIZE_SPACE_ID`, or run `ax spaces list -o json`, or ask the user
- Project unclear → check `.env` for `ARIZE_DEFAULT_PROJECT`, or ask, or run `ax projects list -o json --limit 100` and present as selectable options
## List Experiments: `ax experiments list`
Browse experiments, optionally filtered by dataset. Output goes to stdout.
```bash
ax experiments list
ax experiments list --dataset-id DATASET_ID --limit 20
ax experiments list --cursor CURSOR_TOKEN
ax experiments list -o json
```
### Flags
| Flag | Type | Default | Description |
|------|------|---------|-------------|
| `--dataset-id` | string | none | Filter by dataset |
| `--limit, -l` | int | 15 | Max results (1-100) |
| `--cursor` | string | none | Pagination cursor from previous response |
| `-o, --output` | string | table | Output format: table, json, csv, parquet, or file path |
| `-p, --profile` | string | default | Configuration profile |
## Get Experiment: `ax experiments get`
Quick metadata lookup -- returns experiment name, linked dataset/version, and timestamps.
```bash
ax experiments get EXPERIMENT_ID
ax experiments get EXPERIMENT_ID -o json
```
### Flags
| Flag | Type | Default | Description |
|------|------|---------|-------------|
| `EXPERIMENT_ID` | string | required | Positional argument |
| `-o, --output` | string | table | Output format |
| `-p, --profile` | string | default | Configuration profile |
### Response fields
| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Experiment ID |
| `name` | string | Experiment name |
| `dataset_id` | string | Linked dataset ID |
| `dataset_version_id` | string | Specific dataset version used |
| `experiment_traces_project_id` | string | Project where experiment traces are stored |
| `created_at` | datetime | When the experiment was created |
| `updated_at` | datetime | Last modification time |
## Export Experiment: `ax experiments export`
Download all runs to a file. By default uses the REST API; pass `--all` to use Arrow Flight for bulk transfer.
```bash
ax experiments export EXPERIMENT_ID
# -> experiment_abc123_20260305_141500/runs.json
ax experiments export EXPERIMENT_ID --all
ax experiments export EXPERIMENT_ID --output-dir ./results
ax experiments export EXPERIMENT_ID --stdout
ax experiments export EXPERIMENT_ID --stdout | jq '.[0]'
```
### Flags
| Flag | Type | Default | Description |
|------|------|---------|-------------|
| `EXPERIMENT_ID` | string | required | Positional argument |
| `--all` | bool | false | Use Arrow Flight for bulk export (see below) |
| `--output-dir` | string | `.` | Output directory |
| `--stdout` | bool | false | Print JSON to stdout instead of file |
| `-p, --profile` | string | default | Configuration profile |
### REST vs Flight (`--all`)
- **REST** (default): Lower friction -- no Arrow/Flight dependency, standard HTTPS ports, works through any corporate proxy or firewall. Limited to 500 runs per page.
- **Flight** (`--all`): Required for experiments with more than 500 runs. Uses gRPC+TLS on a separate host/port (`flight.arize.com:443`) which some corporate networks may block.
**Agent auto-escalation rule:** If a REST export returns exactly 500 runs, the result is likely truncated. Re-run with `--all` to get the full dataset.
Output is a JSON array of run objects:
```json
[
{
"id": "run_001",
"example_id": "ex_001",
"output": "The answer is 4.",
"evaluations": {
"correctness": { "label": "correct", "score": 1.0 },
"relevance": { "score": 0.95, "explanation": "Directly answers the question" }
},
"metadata": { "model": "gpt-4o", "latency_ms": 1234 }
}
]
```From raverx-dev/awesome-copilot, MIT.
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- Last commit (this folder)
- Apr 8, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/raverx-dev/awesome-copilot
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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arize-experiment skill. Agent Mart. https://agentmart.dev/skills/raverx-dev-arize-experiment (last updated 2026-10-24)