Automate Apex test execution and coverage analysis with sf commands.
npx skills add https://github.com/Jaganpro/sf-skills --skill sf-testing
Please help me install this Agent Skill. Skill: sf-testing Source: https://github.com/Jaganpro/sf-skills/tree/main/sf-testing Command: npx skills add https://github.com/Jaganpro/sf-skills --skill sf-testing
This Skill targets fast, reliable Apex testing through mock frameworks, test data factories, and an agentic test-fix loop to fix failures efficiently.
Run tests with 90%+ coverage, using Test Data Factories to generate data and Mock frameworks to avoid real DML.
High-intent search queries and answers about installing and using this skill.
Apex test execution with coverage analysis automates running single classes, test suites, or all local tests while measuring code coverage. This Skill executes tests via sf apex commands, analyzes failures, and generates coverage reports to identify untested code paths.
Mocking DML and SOQL operations eliminates real database calls, making tests run faster and more reliably. Mock frameworks and test data factories reduce dependencies and enable tests to run in isolation without external system calls or governor limits.
Agentic test-fix loops iteratively repair test failures by analyzing failure patterns, generating corrections, and re-executing tests with safety checks for governor limits. This workflow discovers issues, executes tests, analyzes results, and applies fixes in cycles.
Bulk testing patterns support executing tests with 251+ records through phase-based workflows that manage test data, execute suites, and analyze results. This approach handles high-volume scenarios while maintaining test reliability and coverage insights.
Test data factories are recommended to generate consistent, reusable test data across test classes. They work alongside mock frameworks to provide both realistic data structures and isolated test execution without hitting real DML operations.
The agentic fix loop includes governor-limit safety checks to detect and handle limit violations during test execution. This prevents tests from failing due to resource constraints and triggers corrective adjustments in the repair cycle.
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