How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/phatnt95/salesforce-apex-agent --skill apex-testingBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Apex Testing
Testing strategy
Test behavior and business outcomes, not just coverage percentage.
Every non-trivial feature should consider:
- Happy path.
- Boundary/edge cases.
- Invalid input.
- Bulk input.
- No-data behavior.
- Permission/security behavior when applicable.
- Exception/error behavior.
- Async behavior when applicable.
- Callout success/failure when applicable.
Test data
- Prefer isolated test data created by the test or a reusable factory.
- Avoid depending on existing org data unless the platform requires it and the dependency is explicit.
- Make test records minimal but realistic.
- Do not hard-code production IDs.
Assertions
- Assert meaningful field values, record counts, status transitions, errors, and side effects.
- Avoid tests that only assert no exception was thrown.
- Use
Test.startTest()/Test.stopTest()to isolate governor limits and flush supported async work. - For bulk logic, test a meaningful multi-record collection rather than only a single record.
Callouts
Use HttpCalloutMock or the appropriate test abstraction. Assert both request/response behavior and resulting Salesforce state.
Async
For Queueable, Batchable, Scheduled, and future work, verify the observable outcome after Test.stopTest() and cover failure paths where practical.
Quality gate
Before declaring a test complete, ask:
- Would this fail if the business rule broke?
- Does it protect against regression?
- Does it exercise bulk behavior?
- Does it verify important negative/security cases?
- Is it independent of org-specific production data?



