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-de-headless-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-de-headless-channel-configure)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/service-de-headless-channel-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-de-headless-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-de-headless-channel-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/service-de-headless-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 | $0.00147 | $0.05038 |
| Opus 5 | $0.00073 | $0.02519 |
| Sonnet 5 | $0.00029 | $0.01008 |
| Haiku 4.5 | $0.00015 | $0.00504 |
Grade A, and why
service-de-headless-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 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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Headless Channel Setup (type-agnostic)
What this skill does
Takes a channel type (WhatsApp | Line | AppleBusinessChat | Facebook | Text) plus its type-specific inputs and drives it to an activated MessagingChannel. It first gates on the Enhanced Messaging Terms and Conditions, then runs four steps:
- Accept Terms and Conditions — renders the Enhanced Messaging disclaimer and requires the user to certify they have authority to bind their org, mirroring the in-org "Add a Channel" wizard. Blocking — a decline ends the run before any org work. (Stage 0.5, in this skill)
- Insert the channel — invokes
service-de-channel-create, which handles the per-type third-party prereq internally (e.g. WhatsApp'sservice-de-waba-integrateruns insideservice-de-channel-create). (skill:service-de-channel-create) - Configure routing — sets
SessionHandlerIdto an Omni-Channel Queue (pick existing or create new). Message-type-agnostic. (skill:service-de-channel-routing-configure) - Configure consent — ensures a valid
ConsentType+ matchingMsgChannelLanguageKeywordrecord. The Connect insert auto-seeds a defaultConsentType=ImplicitOptIn+ opt-out keyword, so on a fresh channel this step is frequently a no-op — or an upgrade if the caller wants ExplicitOptIn/DoubleOptIn. Activation's readiness check requires both routing AND consent, so this runs before activation. (skill:service-de-channel-consent-configure) - Activate — PATCHes
MessagingChannelUsage.DeploymentStatustoProvisioningvia REST; the server-side save-hook drives the full observer chain synchronously and returns 204 once the MCU reachesActiveandMessagingChannel.IsActive=true. Message-type-agnostic. (skill:service-de-channel-activate)
Resume-by-default. Each step is idempotent — if you re-run after a failure, the orchestrator detects existing state and skips steps that already succeeded.
Prompt mid-flow. If {MESSAGE_TYPE} isn't in the initial request, the orchestrator asks upfront. Routing choices (pick queue / create new) are prompted when step 2 runs, not upfront — keeps leaf skills self-contained.
What ships with it
6 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 · 306 lines · 147 tokens per session scan A bff2a3a3d4a6
service-de-headless-channel-configure is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 147 tokens to every session and 5,038 once invoked, about $0.0007 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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