Agent Skill
Arize Instrumentation skill
arize-instrumentationgithub/awesome-copilotskills/arize-instrumentation/SKILL.md
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.
always on
79 tokname + description
once used
5,952 tokSKILL.md body
bundled files
15 KB
repo stars
40kGitHub
Install the Arize Instrumentation skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/github/awesome-copilot --skill arize-instrumentation
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot mkdir -p ~/.claude/skills cp -R /tmp/awesome-copilot/skills/arize-instrumentation ~/.claude/skills/arize-instrumentation
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 79 tok |
| When the agent uses it | The SKILL.md instructions | 5,952 tok |
| Only if opened | 1 bundled files (5 KB) | varies |
Until it is used, arize-instrumentation costs about 17× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from github/awesome-copilot would load 9,863 tokens of descriptions. Skills vs MCP study
Checks
- Contains text that matches a prompt-injection pattern. In the skills we checked by hand this was security teaching material or a test fixture; read the file before you install it.
- The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Arize Instrumentation Skill
- Quick start (for the user)
- Core principles
- Phase 0: Environment preflight
- Phase 1: Analysis (read-only)
- Steps
- What to identify
- Phase 1 output
- Integration routing and docs
- Phase 2: Implementation
- Steps
- Implementation rules
- Enriching traces: manual spans for tool use and agent loops
- Why doesn't the auto-instrumentor do this?
- Verification
- Leveraging the Tracing Assistant (MCP)
- Reference links
- Save Credentials for Future Use
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