About sf-testing
sf-testing is a skill for Salesforce developers diagnosing Apex test failures and evaluating coverage. It provides a focused test-and-fix workflow, from narrow test runs to broader regression checks.
Key features
- 01Run Apex tests by scope
- 02Analyze failures and stack traces
- 03Find uncovered lines and test gaps
- 04Guide a structured test-fix loop
- 05Recommend coverage scenarios
Use cases
- 01Debug a failing Apex unit test
- 02Review coverage before a release
- 03Identify missing bulk or exception tests
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ jaganpro/ sf-skills --skill sf-testingAfter installing, type/sf-testingin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
CREDITS.mdREADME.mdassets/basic-test.clsbulk-test.clsdml-mock.clsmock-callout-test.clsstub-provider-example.clstest-data-factory.clshooks/scripts/parse-test-results.pyreferences/cli-commands.mdmocking-patterns.mdperformance-optimization.mdtest-fix-loop.mdtest-patterns.mdtesting-best-practices.mdDetails
From the project READMEsf-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
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 |