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arize-instrumentation

An AI agent skill from github/awesome-copilot, scored 80 out of 100 by code and Verified.

80/ 100BVerified

Code score by group

  • Spec20/20
  • Description12/20
  • Procedure12/15
  • Done criteria13/15
  • Resources9/10
  • Scripts2/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Description (8), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
github/awesome-copilot
Folder
skills/arize-instrumentation
License
MIT
GitHub stars
41,064
SKILL.md lines
310
Other files
1

Add arize-instrumentation to your agent

npx skills add github/awesome-copilot --skill arize-instrumentation

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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All skills in github/awesome-copilot

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.