arize-link
Skill2 starsChanged 5 months agoApache-2.0View on GitHub
Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.
2 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- github/awesome-copilotword for word, first seen Oct 25, 2026
- Arize-ai/arize-skillsedited, first seen Oct 7, 2026
Other versions2 projects use a version of this.
Word for word · 1
- github/awesome-copilot★ 41k100% same
Edited · 1
- Arize-ai/arize-skills★ 7257% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository168 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/CO-STAR-UI-CREATOR/AGENT.mdcCursor rule
- .cursor/rules/CO-STAR-UI-CREATOR/CO-STAR-CREATOR.mdCursor rule
- .cursor/rules/CO-STAR-UI-CREATOR/CO-STAR-PROMPT.mdCursor rule
- .cursor/rules/CO-STAR-UI-CREATOR/README.mdCursor rule
- .cursor/rules/CO-STAR-UI-CREATOR/ui.mdCursor rule
- 401-403-bypass-techniquesSkill
- active-directory-acl-abuseSkill
- active-directory-certificate-servicesSkill
- active-directory-kerberos-attacksSkill
- agent-browserSkill
- ai-ml-securitySkill
- ai-seoSkill
- android-pentesting-tricksSkill
- anti-debugging-techniquesSkill
- api-auth-and-jwt-abuseSkill
- api-authorization-and-bolaSkill
- api-recon-and-docsSkill
- api-secSkill
- arbitrary-write-to-rceSkill
- arize-adminSkill
- arize-ai-provider-integrationSkill
- arize-annotationSkill
- arize-compliance-auditSkill
- arize-datasetSkill
- arize-evaluatorSkill
- arize-experimentSkill
- arize-instrumentationSkill
- arize-prompt-optimizationSkill
- arize-promptsSkill
- arize-traceSkill
- authbypass-authentication-flawsSkill
- auth-secSkill
- binary-protection-bypassSkill
- browser-exploitation-v8Skill
- building-nango-functions-locallySkill
- building-nango-functions-remotelySkill
- building-nango-functionsSkill
- business-logic-vulnerabilitiesSkill
- business-logic-vulnSkill
- classical-cipher-analysisSkill
- clickjackingSkill
- cmdi-command-injectionSkill
- code-obfuscation-deobfuscationSkill
- compliance-checkSkill
- compliance-trackingSkill
- container-escape-techniquesSkill
- core-engineeringSkill
- cors-cross-origin-misconfigurationSkill
- crlf-injectionSkill
- csp-bypass-advancedSkill
- csrf-cross-site-request-forgerySkill
- csv-formula-injectionSkill
- d3-visualizationSkill
- dangling-markup-injectionSkill
- defi-attack-patternsSkill
- dependency-confusionSkill
- deserialization-insecureSkill
- dns-rebinding-attacksSkill
- documentation-writerSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 79
Prefer tight windows; 90-day windows load slowly.
- Distinctive: line 84
Verify all path IDs are base64-encoded.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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 |
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.
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