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phoenix-tracing

github

·

Last changed
Hardened

This skill has been hardened by Chainguard

Last changed

This version passed the hardening gate. Hardening updated the skill content and independently checked the resulting changes. Classified findings before hardening: 15. Classified findings closed: 4. Classified findings remaining: 11. Unclassified scanner findings remaining: 0. Review findings closed: 1. Review findings remaining: 18.

Open before hardening

1

Critical

3

Medium

11

Low
Open after hardening

2

Medium

9

Low
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File
Group
Subtype
Severity
Status
references/span-guardrail.md

Prompt Injection

Direct prompt injection

Critical
Closed
references/instrumentation-manual-python.md

Sensitive Data & Secret Exposure

Data exfiltration

Medium
Open
references/sessions-typescript.md

Supply Chain & Install-Time Trust

—

Medium
Closed
references/setup-python.md

Sensitive Data & Secret Exposure

Hardcoded secret

Medium
Open
references/instrumentation-auto-python.md

Malicious Code & Command Execution

—

Low
Open
references/production-typescript.md

Sensitive Data & Secret Exposure

Hardcoded secret

Low
Open
references/setup-python.md

Supply Chain & Install-Time Trust

Install-time download and execute

Low
Open
references/sessions-typescript.md

Supply Chain & Install-Time Trust

Install-time download and execute

Low
Closed

15 findings

SKILL.md

Phoenix Tracing

Comprehensive guide for instrumenting LLM applications with OpenInference tracing in Phoenix. Contains reference files covering setup, instrumentation, span types, and production deployment.

When to Apply

Reference these guidelines when:

  • Setting up Phoenix tracing (Python or TypeScript)
  • Creating custom spans for LLM operations
  • Adding attributes following OpenInference conventions
  • Deploying tracing to production
  • Querying and analyzing trace data

Reference Categories

PriorityCategoryDescriptionPrefix

1

Setup

Installation and configuration

setup-*

2

Instrumentation

Auto and manual tracing

instrumentation-*

3

Span Types

9 span kinds with attributes

span-*

4

Organization

Projects and sessions

projects-*, sessions-*

5

Enrichment

Custom metadata

metadata-*

6

Production

Batch processing, masking

production-*

7

Feedback

Annotations and evaluation

annotations-*

Quick Reference

1. Setup (START HERE)

  • setup-python - Install arize-phoenix-otel, configure endpoint
  • setup-typescript - Install @arizeai/phoenix-otel, configure endpoint

2. Instrumentation

3. Span Types (with full attribute schemas)

4. Organization

5. Enrichment

6. Production (CRITICAL)

7. Feedback

Reference Files

Common Workflows

  • Quick Start: setup-{lang} → instrumentation-auto-{lang} → Check Phoenix
  • Custom Spans: setup-{lang} → instrumentation-manual-{lang} → span-{type}
  • Session Tracking: sessions-{lang} for conversation grouping patterns
  • Production: production-{lang} for batching, masking, and deployment

How to Use This Skill

Navigation Patterns:

# By category prefix
references/setup-*              # Installation and configuration
references/instrumentation-*    # Auto and manual tracing
references/span-*               # Span type specifications
references/sessions-*           # Session tracking
references/production-*         # Production deployment
references/fundamentals-*       # Core concepts

# By language
references/*-python.md          # Python implementations
references/*-typescript.md      # TypeScript implementations

Reading Order:

  1. Start with setup-{lang} for your language
  2. Choose instrumentation-auto-{lang} OR instrumentation-manual-{lang}
  3. Reference span-{type} files as needed for specific operations
  4. See fundamentals-* files for attribute specifications

References

Phoenix Documentation:

Python API Documentation:

TypeScript API Documentation:

  • TypeScript Packages - @arizeai/phoenix-otel, @arizeai/phoenix-client, and other TypeScript packages

Install

Install with chainctl
chainctl skill install public/github/phoenix-tracing:latest
Get started with chainctl
View source

Harden your own skills

Bring Chainguard's hardening pipeline to your first-party skills — custom rulesets, automated remediation, full audit trail.

Provenance

Upstream sourcehttps://github.com/github/awesome-copilot
Upstream commit421418928715158da3610571cb9e9cbb18d4747d
OCI reference

skills.cgr.dev/public/github.com/github/skills/phoenix-tracing:latest

License

MIT

Files

HARDENING.md

LICENSE

README.md

SKILL.md

references/annotations-overview.md

references/annotations-python.md

references/annotations-typescript.md

references/fundamentals-flattening.md

references/fundamentals-overview.md

references/fundamentals-required-attributes.md

references/fundamentals-universal-attributes.md

references/instrumentation-auto-python.md

references/instrumentation-auto-typescript.md

references/instrumentation-manual-python.md

references/instrumentation-manual-typescript.md

references/metadata-python.md

references/metadata-typescript.md

references/production-python.md

references/production-typescript.md

references/projects-python.md

references/projects-typescript.md

references/sessions-python.md

references/sessions-typescript.md

references/setup-python.md

references/setup-typescript.md

references/span-agent.md

references/span-chain.md

references/span-embedding.md

references/span-evaluator.md

references/span-guardrail.md

references/span-llm.md

references/span-reranker.md

references/span-retriever.md

references/span-tool.md

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