Research: phoenix-tracing
Cached research evidence for phoenix-tracing (not authority).
Purpose
Section titled “Purpose”From Arize-ai/phoenix: skill for OpenInference semantic conventions and instrumentation for tracing LLM applications (agents, RAG, chains). Enables Phoenix observability UI for traces/spans.
Harness Coverage
Section titled “Harness Coverage”Target agents: antigravity, claude-code, codex, crush, cursor, gemini-cli, github-copilot, grok, opencode.
Trust And Risks
Section titled “Trust And Risks”trust_tier=needs-inspection; status=inspect-then-install; provenance=verified-install-command; Arize official; high utility for debugging agents; export config and API key handling require review.
Install Prerequisites
Section titled “Install Prerequisites”Install: npx skills add Arize-ai/phoenix --skill phoenix-tracing; status=inspect-then-install; selector=named; policy=Inspect source, hooks, scripts, credentials, and dedupe before install.
Upstream Maintainer
Section titled “Upstream Maintainer”Arize-ai/phoenix (official Arize)
Comparable Alternatives
Section titled “Comparable Alternatives”arize-instrumentation, sentry-setup-ai-monitoring; OpenTelemetry / Langfuse tracing skills.
> Evidence synthesized from public web sources (GitHub repos, official docs, skill registries); confidence reflects source reputation and public signals only. Not an endorsement.