phoenix-integration-snippets
phoenix-integration-snippets is an LLM evaluation & observability skill for AI agents, published by Arize-ai in the phoenix repository on GitHub. Skillspace rates phoenix-integration-snippets D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Generates onboarding code snippets for Phoenix tracing integrations and wires them into the project onboarding UI. Produces install dependencies and implementation sections for SDKs like OpenAI, LangChain, Vercel AI SDK, and others. Supports Python and TypeScript. Use when asked to create onboarding code, tracing setup snippets, quickstart examples, or getting-started code for a framework integration.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 10,577
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Adds snippets into Phoenix's own project onboarding UI code
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.