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 field-service-prework-brief-deployer-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/field-service-prework-brief-deployer-configure)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/field-service-prework-brief-deployer-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/field-service-prework-brief-deployer-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/field-service-prework-brief-deployer-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/field-service-prework-brief-deployer-configure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00082 | $0.11066 |
| Opus 5 | $0.00041 | $0.05533 |
| Sonnet 5 | $0.00016 | $0.02213 |
| Haiku 4.5 | $0.00008 | $0.01107 |
Grade A, and why
field-service-prework-brief-deployer-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 4d 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 — 647 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing Fs Prework Brief Deployer
When to Use This Skill
Deploy the deterministic half of Einstein Pre-Work Brief on Field Service Mobile to a target org via dispatch — prompt template, Lightning Data Service, licenses and permission sets, the Work Order layout field, and a scheduled test Work Order.
Workflow
Field Service Pre-Work Brief Deployer
Deploy the deterministic half of Einstein Pre-Work Brief on Field Service Mobile via dispatch.
This skill takes an org whose Einstein for Field Service add-on is already provisioned and performs every automatable step to stand up Pre-Work Brief: it deploys three metadata artifacts, assigns licenses and permission sets, exposes the Work Order field on the technician's layout, wires a test Work Order scheduled in today's window, and activates the prompt template via the Connect API. The workflow is fully automatable end-to-end — there are no irreducibly manual steps. On-device rendering verification (confirming grounding produces job-specific content) is owned by the coordinating Pre-Work Brief skill, not this deploy primitive.
This skill is the judgment-free deploy primitive. Org diagnosis / routing (STOP if unprovisioned), technician selection, and the fresh-vs-existing test-data decision are resolved by the coordinating skill and passed in as inputs / a choice point.
What it does
- Prompt template — deploys the
einstein_gpt__fieldServicePreWorkBriefGenAiPromptTemplate (Pre_Work_Brief) as Published. - Lightning Data Service — enables Lightning Data Service on the Field Service settings (the
lsdkForFieldServiceMobilePreforg preference; without LDS the brief renders blank on mobile). - Licenses + permission sets — assigns the Einstein for Field Service PSL + permission sets to an admin and a pilot technician.
- Field-level access — deploys
PreWorkBrief_Field_Accessand exposesWorkOrder.PreWorkBriefPromptTemplateon the technician's layout with FLS. - Test data — creates a test Work Order + Service Appointment + Assigned Resource scheduled in today's window, pointed at the deployed template (or points an existing Work Order at it).
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.
- 4d ago Changed · +563 lines cdc3131a52bc
- 7d ago First seen · 84 lines · 82 tokens per session scan A b4fd7218ab1c
field-service-prework-brief-deployer-configure is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 82 tokens to every session and 11,066 once invoked, about $0.0004 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 2026-09-05.
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