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-objective-designer-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-objective-designer-configure)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/field-service-objective-designer-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/field-service-objective-designer-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-objective-designer-configure"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/field-service-objective-designer-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 | $0.00100 | $0.12206 |
| Opus 5 | $0.00050 | $0.06103 |
| Sonnet 5 | $0.00020 | $0.02441 |
| Haiku 4.5 | $0.00010 | $0.01221 |
Grade A, and why
field-service-objective-designer-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 — 660 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managing Sfs Service Objective Designer
When to Use This Skill
Designs service objectives for a Salesforce Field Service scheduling policy via a structured trade-off interview. Guides the user through objective selection and derives weights by establishing crossover equivalences against Minimize Travel (the anchor). Produces a finalized weight table with penalty-rate interpretation and a plain-English policy summary. Called after work rule design; delegates to sfs-sobject-create for record creation.
Workflow
Salesforce Field Service – Service Objective Designer
Designs the service objectives for a scheduling policy. This skill collects the objective selection and derives each objective's weight through a structured trade-off interview — one question at a time — and emits a serviceObjectives[] block as output. It does not create any Salesforce records. When complete, delegates to sfs-sobject-create.
Interview phases: Scheduling Policy → Work Rules → Service Objectives (this skill) → Record Creation
This skill covers the service objective phase only. The policy block (from sfs-scheduling-policy-designer) and the workRules[] block (from sfs-work-rule-designer) arrive as context; this skill adds serviceObjectives[] and hands the complete design to sfs-sobject-create.
Background: How SFS Scoring Works
The optimizer assigns penalty points to each candidate schedule. Lower total penalty = better schedule. Each service objective contributes penalty points based on its weight and its own scale (the worst-case scenario for that objective).
Minimize Travel weight is the anchor — its value is set at 1000 and all other weights are derived relative to it. The general formula, common to every objective (stated once — not re-derived per objective):
penaltyPerViolation = max( 1, roundingFn( (1000 × weight) / scale ) ) × finalMultiplier
total_penalty = ceil( violations / granularity ) × penaltyPerViolation
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 · +317 lines 55e495530334
- 7d ago First seen · 343 lines · 100 tokens per session scan A 26635bdf4875
field-service-objective-designer-configure is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 100 tokens to every session and 12,206 once invoked, about $0.0005 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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