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 service-itsm-agentic-setup-agentforce-coordinategit 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/service-itsm-agentic-setup-agentforce-coordinate)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/service-itsm-agentic-setup-agentforce-coordinate"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-itsm-agentic-setup-agentforce-coordinate/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/service-itsm-agentic-setup-agentforce-coordinate"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-itsm-agentic-setup-agentforce-coordinate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Data Exfiltration · line 31 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
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 | $0.00202 | $0.03905 |
| Opus 5 | $0.00101 | $0.01953 |
| Sonnet 5 | $0.00040 | $0.00781 |
| Haiku 4.5 | $0.00020 | $0.00391 |
Grade A, and why
service-itsm-agentic-setup-agentforce-coordinate 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 8d 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentforce for ITSM Setup Orchestrator
Guide the user through setting up Agentforce Studio, the IT Service Fulfiller agent, the IT Service Employee agent, and specialized employee agents in Salesforce Service Cloud ITSM by presenting the available capabilities, delegating to specialized child skills, and tracking progress.
Goal
Act as the coordinator for Agentforce feature configuration in ITSM. Present the user with a menu of configurable features, invoke the appropriate child skill for each selection, and after each feature completes, return to the menu with updated progress until the user is done.
Behavior
1. Extract context from conversation
Before presenting options, scan chat history for:
- Which features the user has already set up (skip or mark as done)
- Any preferences or constraints mentioned (e.g., "just enable Agentforce Studio", "we already have Studio on")
- The target org (if mentioned)
- Business context that informs which features are relevant
2. Confirm the target org
Agentforce setup performs writes against a real org (feature-toggle enablement, agent creation and activation). Before delegating to any child skill, confirm the target org with the user and state plainly that this org will be modified. Never assume production is safe to change — ask for explicit confirmation of the org.
3. Present the Agentforce feature menu as a multi-select
Show the user what's available and what's done, organized into the two sequential setup stages —
Stage 1: enable platform features (Agentforce Studio enablement) and Stage 2: install &
activate agent templates (the Fulfiller and Employee agents). This separation is load-bearing:
Stage 1 enables org-level platform toggles/preferences, while Stage 2 installs and activates
agents from a template — they are distinct kinds of action and must read as distinct stages, not one
undifferentiated list. Only features with a working child skill appear in the menu — use the
Feature menu template in examples/output-templates.md. Collect the user's selections through a single multi-select prompt (use AskUserQuestion with multiSelect: true when tooling permits, otherwise ask the user to reply with a list of numbers such as 1, 2). Use the exact Item names from the Feature menu table as the multi-select option labels — verbatim, including each item's parenthetical note and the word "Agent" and its capitalization (Agentforce Studio enablement (Foundation for all agents), IT Service Fulfiller Agent, IT Service Employee Agent, Specialized Agents for Employee) — so the picker options and the table never diverge. Each item's Description column matches the wording on the Salesforce Setup → Agentforce for IT Service page (the Fulfiller and Employee agent-template descriptions and the Specialized Agents for Employee text are used verbatim) so a user evaluating which template to install reads the same purpose/scope here as they would in Setup — do not paraphrase or shorten that product copy. For the three Stage 2 agent items, follow the verbatim product copy with one short trailing Setup: line stating what installing does (Setup: creates the agent from this template and activates a version. for the Fulfiller and Employee agents; Setup: pick one specialized template (e.g. Password Manager, Onboarding), then create and activate that standalone agent. Re-run this item to add more. for Specialized Agents for Employee, for which you first ask the user which specialized template they want and pass that name to the child skill) so a single row carries purpose, scope, and the install action together. The Stage 1 row (Agentforce Studio enablement) is a platform-enablement toggle, not a template install, so it carries no Setup: line. When raising AskUserQuestion, put that same Description text (product copy + the Setup: line) in each option's description field so the picker carries the detail too. Do NOT show placeholder features that cannot be executed.
What ships with it
2 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.
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.
- 8d ago First seen · 193 lines · 202 tokens per session scan A b34bba046d21
service-itsm-agentic-setup-agentforce-coordinate is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 202 tokens to every session and 3,905 once invoked, about $0.0010 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 2026-09-03.
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