Agent skill
sf-testing
Apex test execution, coverage analysis, and test-fix loops with 120-point scoring. TRIGGER when: user runs Apex tests, checks code coverage, fixes failing tests, or touches *Test.cls / *_Test.cls files. DO NOT TRIGGER when: writing Apex production code (use sf-apex), Agentforce agent testing (use sf-ai-agentforce-testing), or Jest/LWC tests (use sf-lwc).
Install this agent skill to your Project
npx add-skill https://github.com/Jaganpro/sf-skills/tree/main/skills/sf-testing
Metadata
Additional technical details for this skill
- author
- Jag Valaiyapathy
- scoring
- 120 points across 6 categories
- version
- 1.1.0
SKILL.md
sf-testing: Salesforce Test Execution & Coverage Analysis
Use this skill when the user needs Apex test execution and failure analysis: running tests, checking coverage, interpreting failures, improving coverage, and managing a disciplined test-fix loop for Salesforce code.
When This Skill Owns the Task
Use sf-testing when the work involves:
sf apex run testworkflows- Apex unit-test failures
- code coverage analysis
- identifying uncovered lines and missing test scenarios
- structured test-fix loops for Apex code
Delegate elsewhere when the user is:
- writing or refactoring production Apex → sf-apex
- testing Agentforce agents → sf-ai-agentforce-testing
- testing LWC with Jest → sf-lwc
Required Context to Gather First
Ask for or infer:
- target org alias
- desired test scope: single class, specific methods, suite, or local tests
- coverage threshold expectation
- whether the user wants diagnosis only or a test-fix loop
- whether related test data factories already exist
Recommended Workflow
1. Discover test scope
Identify:
- existing test classes
- target production classes
- test data factories / setup helpers
2. Run the smallest useful test set first
Start narrow when debugging a failure; widen only after the fix is stable.
3. Analyze results
Focus on:
- failing methods
- exception types and stack traces
- uncovered lines / weak coverage areas
- whether failures indicate bad test data, brittle assertions, or broken production logic
4. Run a disciplined fix loop
When the issue is code or test quality:
- delegate code fixes to sf-apex when needed
- add or improve tests
- rerun focused tests before broader regression
5. Improve coverage intentionally
Cover:
- positive path
- negative / exception path
- bulk path (251+ records where appropriate)
- callout or async path when relevant
High-Signal Rules
- default to
SeeAllData=false - every test should assert meaningful outcomes
- test bulk behavior, not just single-record happy paths
- use factories /
@TestSetupwhen they improve clarity and speed - pair
Test.startTest()withTest.stopTest()when async behavior matters - do not hide flaky org dependencies inside tests
Output Format
When finishing, report in this order:
- What tests were run
- Pass/fail summary
- Coverage result
- Root-cause findings
- Fix or next-run recommendation
Suggested shape:
Test run: <scope>
Org: <alias>
Result: <passed / partial / failed>
Coverage: <percent / key classes>
Issues: <highest-signal failures>
Next step: <fix class, add test, rerun scope, or widen regression>
Cross-Skill Integration
| Need | Delegate to | Reason |
|---|---|---|
| fix production code or author tests | sf-apex | code generation and repair |
| create bulk / edge-case data | sf-data | realistic test datasets |
| deploy updated tests | sf-deploy | rollout |
| inspect detailed runtime logs | sf-debug | deeper failure analysis |
Reference Map
Start here
- references/cli-commands.md
- references/test-patterns.md
- references/testing-best-practices.md
- references/test-fix-loop.md
Specialized guidance
- references/mocking-patterns.md
- references/performance-optimization.md
- assets/
Score Guide
| Score | Meaning |
|---|---|
| 108+ | strong production-grade test confidence |
| 96–107 | good test suite with minor gaps |
| 84–95 | acceptable but strengthen coverage / assertions |
| < 84 | below standard; revise before relying on it |
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