forcedotcom/sf-skills is a collection of reusable instructions that help AI coding agents build and work with Salesforce applications and platform features. Developers use it for Agentforce agents, Lightning apps, Flow, Apex, SOQL, Lightning Web Components, and related Salesforce configuration. The catalogue entries are the repository’s skills, plugins, commands, MCP servers, and agents for AI tools that support skills.
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-omni-queue-members-assigngit 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-omni-queue-members-assign)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/service-omni-queue-members-assign"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-omni-queue-members-assign/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-omni-queue-members-assign"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-omni-queue-members-assign.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 | $0.00151 | $0.01498 |
| Opus 5.5 | $0.00060 | $0.00599 |
| Sonnet 5.5 | $0.00030 | $0.00300 |
| Haiku 4.5 | $0.00015 | $0.00150 |
Grade A, and why
service-omni-queue-members-assign 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 yesterday.
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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
service-omni-queue-members-assign
Bind N agent users into a Salesforce Queue via GroupMember Data API POSTs. Without queue membership, Omni-Channel routing sees an empty pool for the queue and never assigns work. Detection is SOQL-based (the same detect-then-POST shape as service-omni-queue-routing-config-deploy), so only missing memberships are created and the skill is safe to re-run. Agent users come from service-omni-agent-users-create, the queue from service-omni-queue-deploy, and the users' Omni permissions from service-omni-permission-set-assign.
Inputs
bash scripts/verify-and-bind.sh <org-alias> [queue-developer-name=CaseQueue] [count=3] [explicit-members-csv]
# demo agents (default):
bash scripts/verify-and-bind.sh myorg CaseQueue 3
# real agents by username/id:
bash scripts/verify-and-bind.sh myorg VoiceQueue "" "[email protected],005XX000001abcd"
org-alias(required).queue-developer-name(optional, defaultCaseQueue).count(optional, default3, range1..10) — must match the agent user count; ignored in explicit mode.explicit-members-csv(optional 4th positional, orMEMBER_USERNAMES_CSV/MEMBER_USER_IDS_CSV) — each token is a Username or a 15/18-char User Id; the count is derived from the list.
Preconditions and safety
- Target org authenticated via
sfCLI (My Domain URL), Service Cloud license,sfCLI ≥ 2.139.6. - The executing user has
PermissionsModifyAllData(standard on System Administrator). - The agent users exist (
service-omni-agent-users-create) and the queue exists (service-omni-queue-deploy); a missing user set or queue blocks with a pointer to the right skill (queues cannot be created via the Data API). - The three-way
safe_to_writeproduction guard applies — adding users to a production queue mis-routes real customer work, so it blocks with no override.
Run
verify-and-bind.sh runs the whole cycle:
- Compute
safe_to_write; derive the 8-char org suffix. - Resolve the queue
Group.Idby DeveloperName +Type='Queue'; block if missing. - Resolve the member set — generated mode queries
Userforagent{1..N}.<suffix>@example.com(block if any expected user is missing); explicit mode resolves each supplied token and requires every one to be an ACTIVE user. - Query existing
GroupMemberfor the queue; compute the users not yet bound. - POST one
GroupMemberper missing user (individual POSTs, noallOrNone). - Re-query to confirm final membership and emit the report.
What ships with it
4 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.
- yesterday Changed · -2 lines 2dfd1366768c
- 7d ago First seen · 94 lines · 151 tokens per session scan A 6de1c14a62c5
service-omni-queue-members-assign is a skill published in the GitHub repository forcedotcom/sf-skills (1,097 stars, last pushed today), licensed Apache-2.0. It adds 151 tokens to every session and 1,498 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-10.
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