Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/phatnt95/salesforce-apex-agent --skill apex-testingAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
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?



