Install
$ agentstack add skill-jaganpro-sf-skills-sf-testing ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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](../sf-apex/SKILL.md)
- testing Agentforce agents → [sf-ai-agentforce-testing](../sf-ai-agentforce-testing/SKILL.md)
- testing LWC with Jest → [sf-lwc](../sf-lwc/SKILL.md)
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](../sf-apex/SKILL.md) 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:
Org:
Result:
Coverage:
Issues:
Next step:
Cross-Skill Integration
| Need | Delegate to | Reason | |---|---|---| | fix production code or author tests | [sf-apex](../sf-apex/SKILL.md) | code generation and repair | | create bulk / edge-case data | [sf-data](../sf-data/SKILL.md) | realistic test datasets | | deploy updated tests | [sf-deploy](../sf-deploy/SKILL.md) | rollout | | inspect detailed runtime logs | [sf-debug](../sf-debug/SKILL.md) | deeper failure analysis |
Reference Map
Start here
- [references/cli-commands.md](references/cli-commands.md)
- [references/test-patterns.md](references/test-patterns.md)
- [references/testing-best-practices.md](references/testing-best-practices.md)
- [references/test-fix-loop.md](references/test-fix-loop.md)
Specialized guidance
- [references/mocking-patterns.md](references/mocking-patterns.md)
- [references/performance-optimization.md](references/performance-optimization.md)
- [assets/](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 |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Jaganpro
- Source: Jaganpro/sf-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.