Sf Ai Agentforce Testing
This is for teams running formal Agentforce agent tests after publish, not for building the agents themselves. It supports two tracks: multi-turn API testing when you need conversation continuity and context preservation, or CLI Testing Center for single-utterance validation and org-native test specs. The workflow is structured around a 100-point scoring system across seven categories, and it handles the full test-fix loop including topic routing validation, action invocation checks, and guardrail testing. If your test reveals the agent logic itself needs fixing, you hand off to the Agent Script skill. It requires API v66.0+ and assumes you are testing already-published agents, not prototypes.
- skills.sh installs
- 1.3K
- GitHub stars
- 422
- last updated
- Jul 14, 2026
Install
$ npx -y skills add jaganpro/sf-skills --skill sf-ai-agentforce-testing --agent claude-codeInstalls into .claude/skills of the current project.
Files
sf-ai-agentforce-testing: Agentforce Test Execution & Coverage Analysis
Use this skill when the user needs formal Agentforce testing: multi-turn conversation validation, CLI Testing Center specs, topic/action coverage analysis, preview checks, or a structured test-fix loop after publish.
When This Skill Owns the Task
Use sf-ai-agentforce-testing when the work involves:
sf agent testworkflows- multi-turn Agent Runtime API testing
- topic routing, action invocation, context preservation, guardrail, or escalation validation
- test-spec generation and coverage analysis
- post-publish / post-activate test-fix loops
Delegate elsewhere when the user is:
- building or editing the agent itself → sf-ai-agentforce or sf-ai-agentscript
- running Apex unit tests → sf-testing
- creating seed data for actions → sf-data
- analyzing session telemetry / STDM traces → sf-ai-agentforce-observability
Core Operating Rules
Sponsors
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- Repository
- github.com/jaganpro/sf-skills
- Categories
- Testing & QA, AI & Agent Building
- First seen
- Apr 16, 2026
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