
Arize Link
Turns trace IDs into clickable Arize URLs so you can stop manually constructing deep links. Handles traces, spans, sessions, datasets, evaluators, and labeling queues. The main gotcha is that all IDs must be base64 encoded and you need to set the right time window or you'll get a "no data" screen even though the trace exists. Works best when you're exporting data with the arize-trace skill and need to link back to the UI for review, or when someone pastes you an ID from logs and you want to pull it up. The skill is basically a URL template engine with validation, which sounds boring until you've debugged your fifth 404 from a non-encoded org_id.
- skills.sh installs
- 1.1K
- GitHub stars
- 41K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add github/awesome-copilot --skill arize-link --agent claude-codeInstalls into .claude/skills of the current project.
Files
Arize Link
Generate deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.
When to Use
- User wants a link to a trace, span, session, dataset, labeling queue, evaluator, or annotation config
- You have IDs from exported data or logs and need to link back to the UI
- User asks to "open" or "view" any of the above in Arize
Required Inputs
Collect from the user or context (exported trace data, parsed URLs):
| Always required | Resource-specific |
|---|---|
org_id (base64) | project_id + trace_id [+ span_id] — trace/span |
space_id (base64) | project_id + session_id — session |
dataset_id — dataset | |
queue_id — specific queue (omit for list) | |
evaluator_id [+ version] — evaluator |
Sponsors
Details
- Repository
- github.com/github/awesome-copilot
- Categories
- Git & Pull Requests, AI & Agent Building, Data Science & ML
- First seen
- Apr 16, 2026
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