Score breakdown0 Version history1 Source
Category Weight Category score Contribution
Security prompt, exec, net, exfil, eval
35%
100
35.0 pts
Supply chain hash, typosquat, maintainer, lockfile
20%
100
20.0 pts
Maintenance staleness, pinning, CI
15%
100
15.0 pts
Transparency SKILL.md, perms, README
15%
100
15.0 pts
Community installs, verify, response
15%
100
15.0 pts
Findings & checks · 0 flagged
Security score 100 · 0 findings
✓ — All security checks passedNo findings in this category for the latest scan. pass
Supply chain score 100 · 0 findings
✓ — All supply chain checks passedNo findings in this category for the latest scan. pass
Maintenance score 100 · 0 findings
✓ — All maintenance checks passedNo findings in this category for the latest scan. pass
Transparency score 100 · 0 findings
✓ — All transparency checks passedNo findings in this category for the latest scan. pass
Community score 100 · 0 findings
✓ — All community checks passedNo findings in this category for the latest scan. pass
Every scanned point with the score it earned and what moved between them.
1 scans · 90 days d97a2e4 latest
Jun 23, 2026 100 d97a2e4
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
library/specializations/ai-agents-conversational/skills/phoenix-arize-setup/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/phoenix-arize-setup/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : phoenix-arize-setup
description : Arize Phoenix observability platform setup for LLM debugging and evaluation
allowed-tools :
- Read
- Write
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Phoenix Arize Setup Skill Capabilities Set up Phoenix local server Configure tracing instrumentation Design evaluation experiments Implement embedding visualizations Set up retrieval analysis Create custom evaluations with LLM-as-judge Target Processes llm-observability-monitoring agent-evaluation-framework Implementation Details Core Features Tracing : OpenTelemetry-based LLM tracesEvals : LLM-as-judge evaluationsEmbeddings : Visualization and drift detectionRetrieval : RAG quality analysisDatasets : Experiment managementInstrumentation OpenAI auto-instrumentation LangChain instrumentation LlamaIndex instrumentation Custom span creation Configuration Options Phoenix server setup Trace sampling Evaluation metrics Embedding models Export settings Best Practices Comprehensive instrumentation Regular evaluation runs Monitor embedding drift Analyze retrieval quality Dependencies arize-phoenix openinference-instrumentation-openai