Agent skill

Service Itsm Agentic Setup Agentforce Studio Validate

by forcedotcom in forcedotcom/sf-skills

Validate the Agentforce for IT Service prerequisites for a Fulfiller or Employee agent, using the Salesforce CLI (sf).

Apache-2.0Auto-check: notesSales & Support

Install Service Itsm Agentic Setup Agentforce Studio Validate

skills CLI
$ npx skills add forcedotcom/sf-skills --skill service-itsm-agentic-setup-agentforce-studio-validate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install forcedotcom/sf-skills service-itsm-agentic-setup-agentforce-studio-validate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/forcedotcom/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/service-itsm-agentic-setup-agentforce-studio-validate .claude/skills/service-itsm-agentic-setup-agentforce-studio-validate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
service-itsm-agentic-setup-agentforce-studio-validate
GitHub stars
1.1k
Token cost
~4.3k tokens
SKILL.md length
1,744 words
Files
3 (incl. scripts, references)
Skills in repo
251
Repo updated
First seen
Licence
Apache-2.0

At a glance

Validate the Agentforce for IT Service prerequisites for a Fulfiller or Employee agent, using the Salesforce CLI (sf).

  • Works in 4 steps: Read the feature toggles → Classify (helper script) → Report + hand off → …
  • Asked to check Agentforce prerequisites
  • SKILL.md covers Scope, Which path?, Preconditions and Operations at a glance, plus 6 more sections
  • Runs JavaScript scripts from its folder; calls sf and node

What it does

Service Itsm Agentic Setup Agentforce Studio Validate is an agent skill from forcedotcom/sf-skills. Validate the Agentforce for IT Service prerequisites for a Fulfiller or Employee agent, using the Salesforce CLI (sf). The READ-ONLY prerequisite check: it reads the Salesforce Go feature toggles behind the Agentforce for IT Service setup page (Agentforce Studio, the IT Service Fulfiller Template / IT Service Employee Template, Specialized Agent Templates for Employee) via one Connect API call, then a helper script classifies the chosen path into a READY / NOT-READY verdict. It never enables anything; when a…

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/cli-invocation.md`).

It sits in Sales & Support, covering CRM management. It works with Salesforce. The repository describes itself as: Salesforce's curated collection of agent skills for building applications. Optimized for Agentforce Vibes, compatible with all AI tools. The licence is Apache-2.0.

When your agent uses it

  • Asked to check Agentforce prerequisites
  • Validate the org is ready for an ITSM agent
  • Verify Agentforce Studio is enabled

Example prompts

  • “/service-itsm-agentic-setup-agentforce-studio-validate”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Bash, Read, AskUserQuestion

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Read the feature toggles
  2. Classify (helper script)
  3. Report + hand off
  4. (After enable) re-validate

What it can do on your machine

Read from SKILL.md and the folder at commit e5164d9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • sf
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Service Itsm Agentic Setup Agentforce Studio Validate loads about 4.3k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 268 tokens; SKILL.md has 1,744 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~268
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, AskUserQuestion, 

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from forcedotcom/sf-skills at commit e5164d9, republished under its Apache-2.0 licence (© forcedotcom). 1,744 words, ~4,285 tokens.

Download SKILL.mdSave it as .claude/skills/service-itsm-agentic-setup-agentforce-studio-validate/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
service-itsm-agentic-setup-agentforce-studio-validate
description
Validate the Agentforce for IT Service prerequisites for a Fulfiller or Employee agent, using the Salesforce CLI (sf). The READ-ONLY prerequisite check: it reads the Salesforce Go feature toggles behind the Agentforce for IT Service setup page (Agentforce Studio, the IT Service Fulfiller Template / IT Service Employee Template, Specialized Agent Templates for Employee) via one Connect API call, then a helper script classifies the chosen path into a READY / NOT-READY verdict. It never enables anything; when a toggle is off it hands off to agentforce-studio-configure to enable it. Use when asked to check Agentforce prerequisites, validate the org is ready for an ITSM agent, or verify Agentforce Studio is enabled. Triggers: check agentforce prerequisites, validate agentforce readiness, is my org ready for the fulfiller agent, verify agentforce studio enabled. DO NOT TRIGGER: enabling or turning on the toggles, creating the fulfiller agent (service-itsm-agentic-setup-fulfiller-agent-configure), or CMDB CRUD.
allowed-tools
Bash, Read, AskUserQuestion
metadata.version
2.2
metadata.domains
Service, Agentforce
metadata.minApiVersion
67.0
metadata.relatedSkills
service-itsm-agentic-setup-agentforce-studio-configure, service-itsm-agentic-setup-employee-agent-configure…

Validate Agentforce for IT Service Prerequisites

Readiness check for Agentforce for IT Service, for either the Fulfiller or the Employee agent path. Before an ITSM agent can be created, the org must have the right Salesforce Go feature toggles turned on (the ones on the Agentforce for IT Service setup page). This skill reads those toggles through the Salesforce CLI (sf) — a single authenticated Connect API call via sf api request rest — and a helper script classifies the chosen agent path into a READY / NOT-READY verdict.

This is the read-only step in a three-skill flow. It never enables anything; turning toggles on is a separate write-capable skill:

StepSkillWhat it does
1. Validate (this skill)service-itsm-agentic-setup-agentforce-studio-validateRead the toggles → READY / NOT-READY (no writes)
2. Configureservice-itsm-agentic-setup-agentforce-studio-configureTurn the disabled toggles ON
3. Create agentservice-itsm-agentic-setup-fulfiller-agent-configureCreate + activate the Fulfiller agent

On NOT-READY this skill names each disabled toggle and hands off to service-itsm-agentic-setup-agentforce-studio-configure to enable them — it does not POST an enable itself.

The feature toggles and their real featureApiNames:

Go-page togglefeatureApiNameRequired for
Turn on Agentforce Studiosales-cloud-agent-studioboth paths (shared)
Agentforce for IT Serviceservice-cloud-agentforce-for-itsmboth paths (shared)
IT Service Fulfiller Templateservice-cloud-it-fulfiller-agentfulfiller
IT Service Employee Templateservice-cloud-requestor-agentemployee
Specialized Agent Templates for Employeeservice-cloud-it-service-employee-agentemployee

All are Connect API features (/connect/setup/discovery/...) — the read goes through sf api request rest, no Headless360 dispatcher required. The classification is deterministic and lives in scripts/classify-readiness.mjs (invoked via Bash), not in prose.

Scope

  • In scope: Reading the Agentforce-for-IT-Service Go feature toggles via connect/setup/discovery/features/status; classifying the fulfiller or employee path into a per-feature + overall READY / NOT-READY verdict via a helper script; on NOT-READY, naming each disabled toggle and handing off to service-itsm-agentic-setup-agentforce-studio-configure to enable it.
  • Out of scope: Enabling / turning on any toggle — that write is owned by service-itsm-agentic-setup-agentforce-studio-configure (this skill is read-only and never POSTs an enable); creating, committing, or activating an agent (handled by service-itsm-agentic-setup-fulfiller-agent-configure); the org-wide multi-agent orchestration toggle (that is a Headless360-only pref, not an ITSM Connect feature, and is not one of the setup-page toggles); assigning permission sets; CMDB CRUD.

Which path?

Determine whether the user is setting up the fulfiller agent (the IT-fulfiller-facing agent) or an employee agent (the employee-facing / NGA agent). If it is not clear from the request, ask (AskUserQuestion). The path selects which toggles are required:

  • fulfiller → sales-cloud-agent-studio + service-cloud-agentforce-for-itsm + service-cloud-it-fulfiller-agent
  • employee → sales-cloud-agent-studio + service-cloud-agentforce-for-itsm + service-cloud-requestor-agent + service-cloud-it-service-employee-agent

Preconditions

Before the skill can read anything, the CLI and target org must be configured. If any of these are unmet, sf surfaces an auth error or a 401/403/404; do not fabricate state — surface the raw error and stop.

  1. sf CLI installed and authenticated to the target org (sf org display -o <alias> shows Connected). All calls use --target-org <alias>; never extract or pass the access token by hand.
  2. API v67.0+: the connect/setup/discovery feature APIs are available at v67.0. The version is pinned in the URL path; do not hand-edit it below the minimum.
  3. node ≥ 18 on PATH (runs the classifier script).

If a precondition fails, sf returns one of:

  • Auth error / 401 Unauthorized → session expired or wrong alias; re-run sf org login web.
  • 403 Forbidden → the user/org lacks the required access (missing Agentforce license).
  • 404 Not Found → the feature-discovery surface is not wired on this org tier — the classifier maps a missing/error body to CANNOT-CONFIRM, not a hard failure.

Operations at a glance

OperationCommandReturns
Read feature togglessf api request rest "/services/data/v67.0/connect/setup/discovery/features/status" --method POST --body '{"featureApiNames":[...]}' --target-org <alias>{items:[{apiName,status,enableBlockedReasons[],dependencyStatuses[]}]} — status is ENABLED / NOT_ENABLED per toggle.

This skill makes only the read above — it is read-only. Enabling a toggle (.../feature/{apiName}/enable) is out of scope: hand off to service-itsm-agentic-setup-agentforce-studio-configure. sf api request rest prints the raw response body (JSON) to stdout — capture it to a file and hand it to the classifier. Full command shapes and the error taxonomy live in references/cli-invocation.md.

Never extract the access token. Use sf api request rest directly — it uses the CLI's stored session for the target org. Do not pull the accessToken out of sf org display and hand-build an HTTP request with it; that bypasses the CLI session and leaks a bearer token into shell context.


Architecture — How the check works

StepWhat happensTool used
Pick pathDetermine fulfiller vs employee (ask if unclear)AskUserQuestion
Read togglesPOST the feature-status batch for all toggles the path needs, capture to a fileBash (sf api request rest)
ClassifyRun scripts/classify-readiness.mjs <file> <agentType> [exitStatus] → per-feature + overall verdictBash (node)
ReportRender the classifier's verdict into the Output Format—
Hand offOn NOT-READY, name each disabled toggle and hand off to service-itsm-agentic-setup-agentforce-studio-configure to enable it—

The skill is read-only — it never enables a toggle.


Workflow

Substitute <alias> with the target org alias (ask the user, or use the default org from sf config). <agentType> is fulfiller or employee.

Phase 1 — Read the feature toggles
  1. POST the feature-status batch for every toggle the chosen path needs (safe to always request all five — the classifier only judges the ones the path requires), capturing stdout to a file. Do not add --json:

    bash
    sf api request rest "/services/data/v67.0/connect/setup/discovery/features/status" \
      --method POST \
      --body '{"featureApiNames":["sales-cloud-agent-studio","service-cloud-agentforce-for-itsm","service-cloud-it-fulfiller-agent","service-cloud-requestor-agent","service-cloud-it-service-employee-agent"]}' \
      --target-org <alias> > /tmp/features-status.json 2>/tmp/features-status.err
    echo $? > /tmp/features-status.exit

    Capture the command's exit status ($?) so the classifier can tell a confirmed 404 (gate not wired) apart from an auth/permission/transport failure. Do not swallow the exit with || true — pass it to the classifier in Phase 2.

Phase 2 — Classify (helper script)
  1. Run the classifier over the captured file, the chosen agent type, and the captured exit status. Use the skill's absolute directory for the script path:

    bash
    node "<skill_dir>/scripts/classify-readiness.mjs" /tmp/features-status.json <agentType> "$(cat /tmp/features-status.exit)"

    It prints { agentType, readState, features, verdict, notEnabled, enableable, reasons, rawError } where each feature is PASS | FAIL | CANNOT-CONFIRM | ERROR and verdict is READY | NOT-READY | CANNOT-CONFIRM | ERROR. This is the authoritative verdict — do not re-derive it from the raw response in prose. notEnabled lists every disabled required toggle; enableable is the subset with no enableBlockedReasons — the ones the configure skill can turn on straight away (the rest are blocked by an unmet dependency or a purchase/licensing gate).

Show full SKILL.md (759 more words)Show less
Phase 3 — Report + hand off
  1. Render the classifier output into the Output Format below.
    • READY → point the user at service-itsm-agentic-setup-fulfiller-agent-configure to create the agent (fulfiller path), or service-itsm-agentic-setup-employee-agent-configure (employee path).
    • NOT-READY → name each disabled toggle (from notEnabled). For the enableable subset, hand off to service-itsm-agentic-setup-agentforce-studio-configure to turn them on (offer via AskUserQuestion: "N prerequisite toggle(s) are off. Run service-itsm-agentic-setup-agentforce-studio-configure to enable them?" → on Yes, delegate; on No, stop and report). For any disabled-but-blocked toggle (in notEnabled but not enableable), report its enableBlockedReasons verbatim — it cannot be enabled until the blocker clears. This skill does not POST an enable itself.
    • CANNOT-CONFIRM → state which toggle(s) had no status and that the feature-discovery surface may not be wired on this org tier.
    • ERROR → the read failed (auth / permission / transport, or an unexpected body — see rawError). Surface the raw response and stop; do not treat it as a mere wiring gap.
Phase 4 — (After enable) re-validate
  1. If the user ran service-itsm-agentic-setup-agentforce-studio-configure to enable the toggles, re-run Phase 1 + Phase 2 here to confirm the verdict flips to READY, then report. This skill's own role remains read-only throughout.

Rules / Constraints

ConstraintRationale
This skill is read-only — it never POSTs a feature enableTurning toggles on is a separate write-capable skill (service-itsm-agentic-setup-agentforce-studio-configure); keeping the two apart keeps the validate verb honest and avoids two skills owning the same write
On NOT-READY, hand off to service-itsm-agentic-setup-agentforce-studio-configure for enablementThat skill owns the .../feature/{apiName}/enable write path (idempotent, dependency-ordered); this skill only names what is off
The read goes through sf api request rest; never extract the access token or hand-build a raw HTTP requestsf api request rest uses the CLI's stored session for --target-org; extracting the token leaks a bearer token into shell context
Classification lives in scripts/classify-readiness.mjs, invoked via Bash — not in proseThe verdict is a deterministic decision table over fixed feature statuses; a script is reliable, prose interpretation is not (authoring standard A9)
The required-toggle set depends on the agent pathFulfiller and Employee agents gate on different template toggles; the classifier encodes both paths
These are Connect API features — use SF CLI, not Headless360A Connect/Tooling equivalent exists, so SF CLI is preferred (avoids the Headless360HostedMcpServer org-perm gate)
enableBlockedReasons non-empty ⇒ toggle is not in enableable — report the blockerA blocked toggle can't be turned on even by the configure skill until the unmet dependency / purchase gate clears
Do not pass --json to sf api request restIt is unsupported on some Connect endpoints; the raw stdout body is already JSON

Verification Checklist

  • The agent path (fulfiller / employee) was determined (asked if unclear).
  • The feature-status POST was run via sf api request rest and its body captured to a file.
  • scripts/classify-readiness.mjs was invoked with the file, the agent type, and the captured exit status, and its {verdict, notEnabled, enableable, rawError} output recorded.
  • The verdict (READY / NOT-READY / CANNOT-CONFIRM / ERROR) was reported verbatim from the classifier; on NOT-READY each disabled toggle was named, with the enable route only for the enableable subset and enableBlockedReasons reported for the rest; on ERROR the raw response was surfaced and the skill stopped.
  • No feature was enabled by this skill (it is read-only); on NOT-READY the disabled toggles were named and the hand-off to service-itsm-agentic-setup-agentforce-studio-configure was offered, and the access token was never extracted.

Output Format

Present the readiness report as:

text
Agentforce for IT Service — Prerequisite Check (via service-itsm-agentic-setup-agentforce-studio-validate)

Org:          <org-alias> (API v67.0)
Agent path:   fulfiller | employee

  [PASS|FAIL] Agentforce Studio ......................... ENABLED | NOT_ENABLED (sales-cloud-agent-studio)
  [PASS|FAIL] Agentforce for IT Service ................. ENABLED | NOT_ENABLED (service-cloud-agentforce-for-itsm)
  [PASS|FAIL] <path-specific toggle(s)> ................. ENABLED | NOT_ENABLED (<featureApiName>)

Verdict: READY  |  NOT-READY  |  CANNOT-CONFIRM  |  ERROR

Next steps:
  - <If READY: "Org satisfies the prerequisites for the <path> agent. Create it via service-itsm-agentic-setup-fulfiller-agent-configure (fulfiller) / the employee-agent skill.">
  - <If NOT-READY: list each disabled toggle; for the enableable ones, hand off to service-itsm-agentic-setup-agentforce-studio-configure to turn them on; for blocked ones, report the enableBlockedReasons.>
  - <If CANNOT-CONFIRM: state which toggle(s) returned no status and that the feature-discovery surface may not be wired on this org.>

This skill is read-only — no org state is written. The only file it produces is the temporary response capture handed to the classifier.

Use each toggle's report label verbatim — Agentforce Studio, Agentforce for IT Service, IT Service Fulfiller Template, IT Service Employee Template, and Specialized Agent Templates for Employee — identical across this skill and service-itsm-agentic-setup-agentforce-studio-configure. (In the toggle table above, the Studio row's Go-page toggle reads "Turn on Agentforce Studio"; its rendered report label is simply Agentforce Studio.) The Template suffix on the two agent-template toggles is the deliberate, authoritative report label — it intentionally differs from the shorter setup-page toggle caption (IT Service Fulfiller / IT Service Employee), exactly like the Studio row above; the installed agent is named separately by the agent-configure skills (IT Service Fulfiller Agent / IT Service Employee Agent, no Template). The path-specific rows are IT Service Fulfiller Template (fulfiller path), or IT Service Employee Template and Specialized Agent Templates for Employee (employee path). Never add an invented role qualifier such as "Requestor", "Specialized", or "parent" to a label.


Reference File Index

FileWhen to read
references/cli-invocation.mdEvery phase — exact sf api request rest read call shape, the feature-status route, the read-only / hand-off rule, the never-extract-token rule, the classifier contract, and the error taxonomy

© forcedotcom, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts, references) in skills/service-itsm-agentic-setup-agentforce-studio-validate of forcedotcom/sf-skills.

  • SKILL.md
  • references/cli-invocation.md
  • scripts/classify-readiness.mjs

Open the folder on GitHubat commit e5164d9

Compare with similar skills

Service Itsm Agentic Setup Agentforce Studio Validate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Soql Lib Query Builderbeyond-the-cloud-dev/soql-lib154—~4.3kAutomated safety check: PassMIT
Sf DatacloudJaganpro/sf-skills424—~2.7kAutomated safety check: PassMIT
Soql Lib Selectorbeyond-the-cloud-dev/soql-lib154—~2kAutomated safety check: PassMIT
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Works with

Categories

Questions about Service Itsm Agentic Setup Agentforce Studio Validate

What does Service Itsm Agentic Setup Agentforce Studio Validate do?

Validate the Agentforce for IT Service prerequisites for a Fulfiller or Employee agent, using the Salesforce CLI (sf). Service Itsm Agentic Setup Agentforce Studio Validate is an agent skill from forcedotcom/sf-skills. Validate the Agentforce for IT Service prerequisites for a Fulfiller or Employee agent, using the Salesforce CLI (sf).

When should I use Service Itsm Agentic Setup Agentforce Studio Validate?

Service Itsm Agentic Setup Agentforce Studio Validate fits situations like: asked to check Agentforce prerequisites; validate the org is ready for an ITSM agent; verify Agentforce Studio is enabled.

How do I install Service Itsm Agentic Setup Agentforce Studio Validate in Claude Code?

Run `npx skills add forcedotcom/sf-skills --skill service-itsm-agentic-setup-agentforce-studio-validate -a claude-code`. Or copy the skill folder (skills/service-itsm-agentic-setup-agentforce-studio-validate in forcedotcom/sf-skills) into .claude/skills/service-itsm-agentic-setup-agentforce-studio-validate in your project. Claude Code loads it when a task matches its description.

How do I install Service Itsm Agentic Setup Agentforce Studio Validate in Codex?

Run `npx skills add forcedotcom/sf-skills --skill service-itsm-agentic-setup-agentforce-studio-validate -a codex`. Or copy the skill folder (skills/service-itsm-agentic-setup-agentforce-studio-validate in forcedotcom/sf-skills) into .agents/skills/service-itsm-agentic-setup-agentforce-studio-validate in your project. Codex loads it when a task matches its description.

Can I use Service Itsm Agentic Setup Agentforce Studio Validate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add forcedotcom/sf-skills --skill service-itsm-agentic-setup-agentforce-studio-validate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/service-itsm-agentic-setup-agentforce-studio-validate, .gemini/skills/service-itsm-agentic-setup-agentforce-studio-validate, .github/skills/service-itsm-agentic-setup-agentforce-studio-validate and .opencode/skills/service-itsm-agentic-setup-agentforce-studio-validate in your project.

What does Service Itsm Agentic Setup Agentforce Studio Validate need to run?

Going by SKILL.md and its folder, Service Itsm Agentic Setup Agentforce Studio Validate needs JavaScript for the scripts in its folder and the command-line tools its instructions call (sf and node). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash, Read, AskUserQuestion.

Does Service Itsm Agentic Setup Agentforce Studio Validate access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Service Itsm Agentic Setup Agentforce Studio Validate safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Service Itsm Agentic Setup Agentforce Studio Validate use?

Service Itsm Agentic Setup Agentforce Studio Validate is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Service Itsm Agentic Setup Agentforce Studio Validate use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Service Itsm Agentic Setup Agentforce Studio Validate?

Skills that share tags, products or a category with Service Itsm Agentic Setup Agentforce Studio Validate: Soql Lib Query Builder (beyond-the-cloud-dev/soql-lib, 154 stars), Sf Datacloud (Jaganpro/sf-skills, 424 stars), Soql Lib Selector (beyond-the-cloud-dev/soql-lib, 154 stars) and Dev Setup (Portwood-Global-Solutions/Portwood, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Service Itsm Agentic Setup Agentforce Studio Validate?

forcedotcom (a GitHub organization) maintains it in forcedotcom/sf-skills, which has 1,060 GitHub stars. The repository holds 251 skills in this directory. The repository was last updated on October 7, 2026.

Source: forcedotcom/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.