Arize Link
GitHubOfficialCreated by arizeDistributed by GitHub
- Skill
- Tool integration
- Automation and integrations
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The arize-link skill provides a standardized method for constructing deep links to various resources within the Arize UI, including traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configurations. By automating the formatting of these URLs—specifically handling base64-encoded IDs and critical time-range parameters—it enables users to quickly share and access specific data points directly from their AI observability workflows.
What it does
- Constructs deep links for traces, spans, and sessions with required time-range parameters.
- Generates direct URLs for datasets, labeling queues, and annotation configurations.
- Supports linking to specific evaluator versions.
- Ensures compatibility by enforcing base64 encoding for all path identifiers.
- Provides guidance on selecting appropriate time windows to prevent empty data views.
When to use it
- When you need to share a specific trace or span with a team member.
- When navigating back to a specific session or dataset from external logs.
- When a user requests to view a specific evaluator or labeling queue in the Arize UI.
- When troubleshooting data visibility issues by verifying resource links.
Advantages
- Reduces manual navigation time within the Arize platform.
- Ensures accurate resource access through standardized ID encoding.
- Prevents 'no data' errors by automatically calculating necessary time-range parameters.
- Facilitates seamless collaboration by providing direct, shareable links.
Usage examples
- “Create a link to trace ID 'abc123' in project 'proj99' for my team.”
- The agent identifies the required org and space IDs, encodes them to base64, calculates the appropriate time window, and returns a clickable URL pointing directly to the trace in the Arize UI.
- “I need to check the latest evaluator version for my model.”
- The agent prompts for the evaluator ID, constructs the correct URL for the Arize evaluators page, and provides a direct link for the user to open.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/github/arize-link/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip arize-link.zip -d .agents/skills
Documentation by arize
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 |
All path IDs must be base64-encoded (characters: A-Za-z0-9+/=). A raw numeric ID produces a valid-looking URL that 404s. If the user provides a number, ask them to copy the ID directly from their Arize browser URL (https://app.arize.com/organizations/{org_id}/spaces/{space_id}/…). If you have a raw internal ID (e.g. Organization:1:abC1), base64-encode it before inserting into the URL.
URL Templates
Base URL: https://app.arize.com (override for on-prem)
Trace (add &selectedSpanId={span_id} to highlight a specific span):
{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llmSession:
{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llmDataset (selectedTab: examples or experiments):
{base_url}/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}?selectedTab=examplesQueue list / specific queue:
{base_url}/organizations/{org_id}/spaces/{space_id}/queues
{base_url}/organizations/{org_id}/spaces/{space_id}/queues/{queue_id}Evaluator (omit ?version=… for latest):
{base_url}/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}
{base_url}/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}?version={version_url_encoded}The version value must be URL-encoded (e.g., trailing = → %3D).
Annotation configs:
{base_url}/organizations/{org_id}/spaces/{space_id}/annotation-configsTime Range
CRITICAL: startA and endA (epoch milliseconds) are required for trace/span/session links — omitting them defaults to the last 7 days and will show "no recent data" if the trace falls outside that window.
Priority order:
User-provided URL — extract and reuse
startA/endAdirectly.Span
start_time— pad ±1 day (or ±1 hour for a tighter window).Fallback — last 90 days (
now - 90dtonow).
Prefer tight windows; 90-day windows load slowly.
Instructions
Gather IDs from user, exported data, or URL context.
Verify all path IDs are base64-encoded.
Determine
startA/endAusing the priority order above.Substitute into the appropriate template and present as a clickable markdown link.
Troubleshooting
| Problem | Solution |
|---|---|
| "No data" / empty view | Trace outside time window — widen startA/endA (±1h → ±1d → 90d). |
| 404 | ID wrong or not base64. Re-check org_id, space_id, project_id from the browser URL. |
| Span not highlighted | span_id may belong to a different trace. Verify against exported span data. |
org_id unknown | ax CLI doesn't expose it. Ask user to copy from https://app.arize.com/organizations/{org_id}/spaces/{space_id}/…. |
Related Skills
arize-trace: Export spans to get
trace_id,span_id, andstart_time.
Examples
See references/EXAMPLES.md for a complete set of concrete URLs for every link type.
Files
- ATTRIBUTION.mdAdded by AutoGineer920 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md4.4 KiB
- references/EXAMPLES.md2.0 KiB
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- arize
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/arize-link · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by arize or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download arize-link.zip