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AgentOps Accelerator — Skills for GitHub Copilot

AgentOps Accelerator — Skills for GitHub Copilot

AgentOps Accelerator

|
1 install
| (0) | Free
Copilot agent skills for running standardized evaluation workflows with AgentOps Accelerator and Microsoft Foundry agents.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

AgentOps Skills for Coding Agents

This extension packages the same AgentOps skills that the CLI installs with agentops skills install. Skills are instructions for a coding agent such as GitHub Copilot, Copilot CLI, Cursor, or Claude Code. They help the coding agent create config, datasets, reports, and workflows in your repository.

They are different from the AgentOps Watchdog runtime agent:

  • Skills live in .github/skills/ or .claude/commands/ and guide a coding assistant.
  • Watchdog is the runtime CLI/server behind agentops doctor and agentops agent serve; it reads real eval history, Azure Monitor telemetry, and Foundry metadata.
  • The agentops-agent skill is only the coding-agent front door to that Watchdog runtime. It does not fabricate findings.

Implemented skills

Skill What it does
agentops-config Inspect the workspace and generate or update flat agentops.yaml.
agentops-dataset Generate realistic JSONL evaluation rows grounded in the app.
agentops-eval Run agentops eval run, handle exit codes, and compare with --baseline.
agentops-report Explain results.json / report.md and suggest concrete next actions.
agentops-workflow Generate the supported GitHub Actions CI/CD scaffold and explain required GitHub/Azure wiring.
agentops-agent Run and interpret the Watchdog runtime (agentops doctor / serve).

There are no shipped agentops-monitor, agentops-trace, or agentops-regression skills in the current implementation.

Installation options

Option 1: VS Code extension

Install from the VS Code Marketplace or search AgentOps Skills in the VS Code Extensions view.

Use this when you want Copilot in VS Code to discover the packaged skills from the extension/plugin.

Option 2: CLI install into a repository

Run this from the repository where you want skills checked in:

python -m pip install "agentops-accelerator[foundry] @ git+https://github.com/Azure/agentops.git@main"
agentops skills install --platform copilot --force

This writes:

.github/copilot-instructions.md
.github/skills/agentops-config/SKILL.md
.github/skills/agentops-dataset/SKILL.md
.github/skills/agentops-eval/SKILL.md
.github/skills/agentops-report/SKILL.md
.github/skills/agentops-workflow/SKILL.md
.github/skills/agentops-agent/SKILL.md

Use --platform claude for .claude/commands/*.md, or omit --platform and let AgentOps auto-detect the coding agent setup.

Usage

Open Copilot Chat or your coding-agent CLI in the project and ask for the workflow you need:

Set up AgentOps evaluation for this app.
Generate an evaluation dataset for the support-agent tools.
Run the eval and explain the failing rows.
Generate the GitHub Actions AgentOps workflow and tell me what Azure/GitHub variables it needs.
Run the AgentOps watchdog and summarize production latency findings.

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