What is sf-ai-agentforce-testing?

A testing guide for Salesforce Agentforce, Salesforce’s platform for building AI assistants. It checks how an agent handles conversations, chooses topics and actions, and follows expected rules.

Use it to create test specifications, run Agentforce tests, check multi-turn conversations, review topic and action coverage, and repeat testing after fixes.

It helps find routing, action, context, guardrail, and escalation problems after an agent is published. It also shows which parts of the agent’s behavior have been tested.

sf-ai-agentforce-testing — Skill for Claude Code and Codex by Jaganpro

Install

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.

Any agent

npx skills add Jaganpro/sf-skills --skill sf-ai-agentforce-testing

Clone the repo

git clone --depth 1 https://github.com/Jaganpro/sf-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce-testing/github.svg)](https://agentmods.dev/skills/jaganpro/sf-skills/sf-ai-agentforce-testing)

Your own site

<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-ai-agentforce-testing"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce-testing/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-ai-agentforce-testing"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,071 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

Socket pass 28 Apr 2026
Snyk pass 28 Apr 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00085	$0.02071
Opus 5	$0.00043	$0.01035
Sonnet 5	$0.00017	$0.00414
Haiku 4.5	$0.00009	$0.00207

Measured 10d ago against content hash 62b72df123f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

sf-ai-agentforce-testing scanned grade A with 1 finding 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 10d ago.

The scan reads SKILL.md. This mod also ships 12 executable files (hooks/scripts/agent_api_client.py, hooks/scripts/agent_discovery.py, hooks/scripts/credential_manager.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Do **not** use raw `curl` for OAuth token validation in the ECA flow; use the provided credential tooling.

skills/sf-ai-agentforce-testing/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 test workflows
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

Testing comes after deploy / publish / activate.
Use multi-turn API testing as the primary path when conversation continuity matters.
Use CLI Testing Center as the secondary path for single-utterance and org-supported test-center workflows.
Interactive and programmatic CLI preview use standard sf org login web authentication; ECA is only required for Agent Runtime API testing, not for live preview.
Fixes to the agent should be delegated to sf-ai-agentscript when Agent Script changes are needed.
Do not use raw curl for OAuth token validation in the ECA flow; use the provided credential tooling.

Script path rule

Use the existing scripts under:

~/.claude/skills/sf-ai-agentforce-testing/hooks/scripts/

These scripts are pre-approved. Do not recreate them.

Read the full file on GitHub · 248 lines

Files

What ships with it

57 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.

Changes

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.

10d ago First seen · 248 lines · 85 tokens per session scan A 62b72df123f6

Subscribe to this mod's changes

sf-ai-agentforce-testing is a skill published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 2,071 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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