Install Run Tests Kit
Pick your agent. Every command is ready to paste.
npx skills add microsoft/skills-for-copilot-studio --skill run-tests-kitThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads run-tests-kit when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the run-tests-kit skill”. In Codex, type $run-tests-kit.
Run Tests via Copilot Studio Kit
Run a batch test suite against a published Copilot Studio agent using the Power CAT Copilot Studio Kit.
Prerequisites
The user must have:
- The Copilot Studio Kit installed in their Power Platform environment
- Published their agent in the Copilot Studio UI
- Created a test set in the Copilot Studio Kit
- An Azure App Registration with Dataverse permissions
Phase 1: Configure Settings
Read
tests/settings.json(relative to the user's project CWD) and check for missing or placeholder values (containingYOUR_).If the file doesn't exist, create it from the template:
cp ${CLAUDE_SKILL_DIR}/../../tests/settings-example.json ./tests/settings.jsonIf values are missing, ask the user for each missing value. Explain where to find each one:
- Environment URL (
dataverse.environmentUrl): "What is your Dataverse environment URL? Find it in Power Platform admin center or Copilot Studio > Settings > Session Details. It looks likehttps://orgXXXXXX.crm.dynamics.com" - Tenant ID (
dataverse.tenantId): "What is your Azure tenant ID? Find it in Azure Portal > Microsoft Entra ID > Overview. It's a GUID likec87f36f7-fc65-453c-9019-0d724f21bc42" - Client ID (
dataverse.clientId): "What is your App Registration client ID? Find it in Azure Portal > App Registrations > your app > Application (client) ID. It's a GUID." - Agent Configuration ID (
testRun.agentConfigurationId): "What is your agent configuration ID? In Copilot Studio, go to your agent > Tests tab. The ID is a GUID found in the URL or test configuration." - Test Set ID (
testRun.agentTestSetId): "What is your test set ID? In Copilot Studio, go to your agent > Tests tab > select your test set. The ID is a GUID found in the URL."
Ask for ALL missing values at once (don't ask one at a time).
- Environment URL (
Write
tests/settings.jsonwith the collected values:{ "dataverse": { "environmentUrl": "<value>", "tenantId": "<value>", "clientId": "<value>" }, "testRun": { "agentConfigurationId": "<value>", "agentTestSetId": "<value>" } }If all values are already configured and valid, proceed to Phase 2.
Phase 2: Run Tests
Ensure
tests/package.jsonexists in the user's project. If not, copy it:cp ${CLAUDE_SKILL_DIR}/../../tests/package.json ./tests/package.jsonInstall dependencies if
tests/node_modules/doesn't exist:npm install --prefix testsRun the test script in the background with a 100-minute timeout (6000000ms):
node ${CLAUDE_SKILL_DIR}/../../tests/run-tests.js --config-dir ./testsUse
run_in_background: truefor this command. Save the returned task ID.Wait 10 seconds, then check the background task output (non-blocking check).
Detect the authentication state from the output:
If the output contains "Using cached token": Authentication succeeded automatically. Tell the user: "Authentication successful (cached credentials). Tests are running, this may take several minutes..."
If the output contains "use a web browser to open the page": Extract the URL and device code from the message. Present this prominently to the user:
Authentication Required
Open your browser to: https://microsoft.com/devicelogin Enter the code: XXXXXXXXX (extract the actual code from the output)
After signing in, the tests will continue automatically.
If the output contains an error: Report the error to the user and stop.
If the output is empty or incomplete: Wait another 10 seconds and check again (retry up to 3 times).
Wait for the background task to complete (blocking). The script polls every 20 seconds until all tests finish and downloads results as a CSV.
Read the final output to get the success rate and CSV filename.
Proceed to Phase 3.
Phase 3: Analyze Results
Get the results:
Glob: tests/test-results-*.csv— read the most recent CSV file (newest by modification time).Parse the CSV columns:
Column Meaning Test Utterance The user message that was tested Expected Response What the test expected Response What the agent actually responded Latency (ms) Response time Result Success,Failed,Unknown,Error, orPendingTest Type Response Match,Topic Match,Generative Answers,Multi-turn,Plan Validation, orAttachmentsResult Reason Why the test passed or failed Focus on failed tests (Result =
FailedorError). For each failure, analyze:- Test Type = Topic Match: The wrong topic was triggered, or no topic matched. Check trigger phrases and model descriptions.
- Test Type = Response Match: The response didn't match expected. Check
SendActivitymessages, instructions, or generative answer config. - Test Type = Generative Answers: The generative answer was incorrect or missing. Check knowledge sources,
SearchAndSummarizeContent, and agent instructions. - Test Type = Plan Validation: The orchestrator's plan was wrong. Check topic descriptions and agent-level instructions.
- Test Type = Multi-turn: A multi-turn conversation failed. Check topic flow, variable handling, and conditions.
Proceed to Phase 4 (Propose Fixes).
Phase 4: Propose Fixes
For each failure, identify the relevant YAML file(s):
- Auto-discover the agent:
Glob: **/agent.mcs.yml - Find the relevant topic by matching the test utterance against trigger phrases and model descriptions
- Read the topic file to understand the current flow
- Auto-discover the agent:
Propose specific YAML changes to fix each failure. Present them to the user as a summary:
- Which test(s) failed and why
- Which file(s) need changes
- What the proposed change is (show the diff)
Wait for user decision. The user can:
- Accept all — apply all proposed changes
- Accept partially — apply only some changes (ask which ones)
- Reject — discard proposed changes and discuss alternative approaches
Apply accepted changes using the Edit tool. After applying, remind the user to push and publish again before re-running tests.
Test Result Codes Reference
Result: 1=Success, 2=Failed, 3=Unknown, 4=Error, 5=Pending
Test Type: 1=Response Match, 2=Topic Match, 3=Attachments, 4=Generative Answers, 5=Multi-turn, 6=Plan Validation
Run Status: 1=Not Run, 2=Running, 3=Complete, 4=Not Available, 5=Pending, 6=Error
Tips for Run Tests Kit
- • Start a fresh session after installing so your agent picks up the new skill.
- • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Run Tests Kit
What does the Run Tests Kit skill do?
Run a batch test suite via the Copilot Studio Kit (Dataverse API). Uses the Power CAT Copilot Studio Kit to execute test cases against a published agent and produces pass/fail results with latencies. Requires the Kit installed in the environment, an App Registration with Dataverse permissions, and a published agent.
How do I install Run Tests Kit?
Run "npx skills add microsoft/skills-for-copilot-studio --skill run-tests-kit" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Run Tests Kit work in Cursor and Codex?
Yes. Run Tests Kit uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Run Tests Kit free?
Run Tests Kit is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.
Who made Run Tests Kit?
Run Tests Kit is published by Microsoft in the microsoft/skills-for-copilot-studio repository, together with 29 other skills.





