forcedotcom/sf-skills is a collection of reusable instructions that help AI coding agents build and work with Salesforce applications and platform features. Developers use it for Agentforce agents, Lightning apps, Flow, Apex, SOQL, Lightning Web Components, and related Salesforce configuration. The catalogue entries are the repository’s skills, plugins, commands, MCP servers, and agents for AI tools that support skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add forcedotcom/sf-skills --skill platform-apex-test-rungit clone --depth 1 https://github.com/forcedotcom/sf-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/forcedotcom/sf-skills/platform-apex-test-run)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/platform-apex-test-run"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-apex-test-run/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/platform-apex-test-run"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-apex-test-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00092 | $0.01749 |
| Opus 5.5 | $0.00037 | $0.00700 |
| Sonnet 5.5 | $0.00018 | $0.00350 |
| Haiku 4.5 | $0.00009 | $0.00175 |
Grade A, and why
platform-apex-test-run scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
platform-apex-test-run: 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 platform-apex-test-run 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 →
platform-apex-generateskill - testing Agentforce agents →
agentforce-testskill - testing LWC with Jest → experience-lwc-generate
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
platform-apex-generateskill 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
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/basic-test.cls 13 KB
- assets/bulk-test.cls 11 KB
- assets/dml-mock.cls 13 KB
- assets/mock-callout-test.cls 14 KB
- assets/stub-provider-example.cls 12 KB
- assets/test-data-factory.cls 14 KB
- README.md 3.0 KB
- references/cli-commands.md 5.7 KB
- references/mocking-patterns.md 13 KB
- references/performance-optimization.md 7.5 KB
- references/test-fix-loop.md 2.0 KB
- references/test-patterns.md 4.2 KB
- references/testing-best-practices.md 16 KB
- scripts/parse-test-results.py 13 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · -32 tokens per session e4e7a98940d3
- 1mo ago First seen · 174 lines · 124 tokens per session scan A 9fcfe3af52bb
platform-apex-test-run is a skill published in the GitHub repository forcedotcom/sf-skills (1,111 stars, last pushed 2d ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,749 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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