Individual skill
create-eval
Create plugin development eval scenarios (JSON files with natural prompts and deterministic checks for testing plugin skills). NOT for Copilot Studio in-product evaluation — use /copilot-studio:create-eval-set for that.
skills/create-eval/SKILL.md
Source commit 9c42d3a612c6e06389b6e5b4eed579aaed1a8b63
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
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- 490
- Repository last updated
- Nov 5, 2026
- License
- MIT
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- testing Derived category
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# Create Scenario Eval
Guide the user through creating eval test cases for a Copilot Studio plugin scenario. Evals test end-to-end scenarios with natural prompts — the request routes through sub-agents (e.g., Author agent) which invoke skills internally.
## How the eval system works
The eval harness (`evals/evaluate.py`) works by:
1. Copying a **fixture agent** into a temp workspace
2. Running `claude -p "<prompt>"` with a PreToolUse hook that traces skill invocations inside sub-agents
3. Checking **routing** (which agents and skills were invoked), **output files**, and **response text** against deterministic checks
4. Producing a JSON results file and HTML report
## What can be tested right now