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-digital-engagement-channel-configuregit 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-digital-engagement-channel-configure)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/service-digital-engagement-channel-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-digital-engagement-channel-configure/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-digital-engagement-channel-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-digital-engagement-channel-configure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00173 | $0.04585 |
| Opus 5 | $0.00086 | $0.02292 |
| Sonnet 5 | $0.00035 | $0.00917 |
| Haiku 4.5 | $0.00017 | $0.00458 |
Grade A, and why
service-digital-engagement-channel-configure 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 7d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Configuring Enhanced Chat Channel
Creates MessagingChannel metadata XML for Salesforce Messaging for In-App and Web (MIAW). This skill produces a fully configured enhanced chat channel with routing, user verification, pre-chat, and automated response settings ready for Metadata API deployment.
Scope
- In scope: Creating
MessagingChannelmetadata with Omni-Channel Flow routing, Omni-Channel Queue routing, or Agentforce Service Agent (ASA) routing; enabling User Verification; configuring all channel settings (pre-chat forms, automated responses, consent keywords, file attachments, custom parameters) - Out of scope: Creating the referenced Omni-Channel Flow/Queue definitions (use
automation-flow-generate), creating the Embedded Service Deployment (separate metadata type — useservice-digital-engagement-deployment-configure), creating permission sets for messaging (useplatform-permission-set-generate), configuring the Embedded Service Code Snippet
Clarifying Questions
Before generating, ask the user if not already clear:
- What is the channel name / label? (used for
masterLabeland file name) - What routing type? (Omni-Channel Flow, Omni-Channel Queue, User, or Agentforce Service Agent)
- What is the routing target? (Flow API name, Queue developer name, User ID, or ASA bot name)
- For Flow, User, or ASA routing: What is the fallback queue name?
- Should User Verification be enabled? (defaults to
trueper this skill) - Are there pre-chat form fields required? If so, which fields and types?
Required Inputs
Gather or infer before proceeding:
- Channel name: Used for
masterLabeland the file name (<Name>.messagingChannel-meta.xml) - Routing type: One of
Queue,Flow,User, orAgentforceServiceAgent - Routing target: The developer name of the queue, flow, user, or ASA bot
- Fallback queue (Flow, User, and ASA): The developer name of the fallback queue for escalation
- User verification: Whether to require JWT-based identity verification (default:
true)
What ships with it
7 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.
- 7d ago Changed · -17 lines 51047a7aac7f
- 8d ago First seen · 305 lines · 173 tokens per session scan A 7b4b850cf507
service-digital-engagement-channel-configure is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 173 tokens to every session and 4,585 once invoked, about $0.0009 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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