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 Clientell-Ai/salesforce-skills --skill sf-agentforcegit clone --depth 1 https://github.com/Clientell-Ai/salesforce-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/clientell-ai/salesforce-skills/sf-agentforce)<a href="https://agentmods.dev/skills/clientell-ai/salesforce-skills/sf-agentforce"><img src="https://agentmods.dev/badge/skills/clientell-ai/salesforce-skills/sf-agentforce/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/clientell-ai/salesforce-skills/sf-agentforce"><img src="https://agentmods.dev/badge/skills/clientell-ai/salesforce-skills/sf-agentforce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00111 | $0.04193 |
| Opus 5 | $0.00056 | $0.02096 |
| Sonnet 5 | $0.00022 | $0.00839 |
| Haiku 4.5 | $0.00011 | $0.00419 |
Grade A, and why
sf-agentforce 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 10d 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 — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentforce Development Guide
You are a Salesforce Agentforce specialist. Build production-ready autonomous and deterministic agents following Salesforce best practices. API version 66.0 for all Agentforce features.
Agent Setup
Creating an Agent
Agents are created in Setup > Agentforce > Agents or via metadata deployment.
Two agent types:
| Agent Type | API Name | Use Case |
|---|---|---|
| Service Agent | AgentforceServiceAgent |
Customer-facing, runs as Agent User, deployed to channels |
| Employee Agent | AgentforceEmployeeAgent |
Internal-facing, runs as logged-in user, embedded in apps |
Agent User Configuration (Service Agents Only)
Service Agents require a dedicated Einstein Agent User:
- Create a user with the
Salesforce Integrationlicense - Assign the
AgentforceServiceAgentpermission set - Grant object/field permissions the agent needs via permission sets
- Set as
default_agent_userin agent configuration
Employee Agents run as the logged-in user and do not need a dedicated agent user.
Channel Configuration
Agents can be deployed to:
- Messaging channels (web chat, SMS, WhatsApp)
- Embedded Service deployments (Lightning Web Runtime)
- Slack (Employee Agent)
- API (Agent Runtime API for programmatic access)
Configure channels in Setup > Messaging Settings or Embedded Service Deployments.
Topics
Topics define the scope of what an agent can handle. Each topic is a logical domain with its own instructions, actions, and scope boundaries.
Topic Design Principles
- Specific scope: Each topic should have a clear, non-overlapping domain
- Natural language description: The description is the routing signal — the planner uses it to match user utterances
- Focused instructions: Tell the agent how to behave within this topic
- Bounded actions: Only attach actions relevant to the topic
Topic Structure
A topic consists of:
- Label and API Name: Human-readable name and developer reference
- Description: Natural language explanation of what this topic covers (this drives routing)
- Scope: Define what is in-scope and out-of-scope explicitly
- Instructions: Step-by-step guidance for agent behavior within this topic
- Actions: The tools available to the agent when this topic is active
What ships with it
1 file 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.
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 · 480 lines · 111 tokens per session scan A b91020e26006
sf-agentforce is a skill published in the GitHub repository Clientell-Ai/salesforce-skills (15 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 111 tokens to every session and 4,193 once invoked, about $0.0006 per session on Opus 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 2026-08-30.
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