salesforce-revenue-cloud-pricing

salesforce-revenue-cloud-pricing is a skill for Claude Code, Codex from arohitu/salesforce-revenue-cloud-skills. It costs 74 tokens per session (706 once invoked), scanned A, original, MIT.

A guide for working with Salesforce Revenue Cloud pricing, including pricing rules, discounts, decision tables, and related calculations. Salesforce Revenue Cloud is Salesforce's system for managing prices, quotes, and orders.

In plain words
What is it for?
Use it to create or change pricing logic, investigate pricing errors, and understand how totals, discounts, exchange rates, and other pricing fields are calculated.
Why use it?
It gives a defined way to build, debug, and explain pricing behavior, especially when a quote or order gets an unexpected price.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or change pricing logic, investigate pricing errors, and understand how totals, discounts, exchange rates, and other pricing fields are calculated.

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Install with agentmods
npx agentmods add skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing
Install

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.

Any agent
npx skills add arohitu/salesforce-revenue-cloud-skills --skill salesforce-revenue-cloud-pricing
Clone the repo
git clone --depth 1 https://github.com/arohitu/salesforce-revenue-cloud-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for salesforce-revenue-cloud-pricing

README.md
[![agentmods](https://agentmods.dev/badge/skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing/github.svg)](https://agentmods.dev/skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing)
Your own site
<a href="https://agentmods.dev/skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing"><img src="https://agentmods.dev/badge/skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing"><img src="https://agentmods.dev/badge/skills/arohitu/salesforce-revenue-cloud-skills/salesforce-revenue-cloud-pricing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 706 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.00706
Opus 5 $0.00037 $0.00353
Sonnet 5 $0.00015 $0.00141
Haiku 4.5 $0.00007 $0.00071

Measured 12d ago against content hash 931336403cca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

salesforce-revenue-cloud-pricing 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 12d 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.

skills/salesforce-revenue-cloud-pricing/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Salesforce Revenue Cloud Pricing

Use this skill for Salesforce Revenue Cloud and Agentforce Revenue Management pricing work. Prefer out-of-the-box Salesforce Pricing configuration first, then Apex hooks only when declarative pricing cannot express the requirement.

Route The Request

  • Building or changing pricing logic: read references/build-pricing.md.
  • Debugging an unexpected price, failed pricing API, or quote/order pricing issue: read references/debug-pricing.md.
  • Debugging a decision table runtime error where lookup returns no row or multiple rows: read references/debug-pricing.md, then use the revenue-cloud-pricing-diagnostics skill to trace the pricing element inputs and context mappings.
  • Analyzing how a price, total, discount, exchange rate, or pricing field is calculated in an existing implementation: use the revenue-cloud-pricing-diagnostics skill as the primary workflow, then read references/analyze-pricing.md here only for supplemental Salesforce Pricing setup context.
  • Explaining what pricing logic is already implemented at a high level: read references/analyze-pricing.md.

If the user has not provided enough context, ask for the business scenario, object/process being priced (quote, order, product discovery, headless API), expected result, actual result, relevant product/price book/selling model, org access method, and any pricing procedure/procedure plan names they already know.

Default Workflow

  1. Identify the pricing surface: quote/order runtime pricing, product discovery pricing, headless pricing API, or procedure plan execution.
  2. Establish the active entry point:
    • Product Discovery Settings pricing procedure for product discovery list prices.
    • Salesforce Pricing Setup pricing procedure for headless pricing calls.
    • Revenue Settings pricing procedure for quotes and orders.
    • Procedure Plan Definition when Procedure Plan Orchestration for Pricing is enabled.
  3. Map the pricing path from data to result: context definition and mappings, decision tables, pricing recipe, pricing procedure elements, procedure plan sections, and optional Apex hooks.
  4. Validate with simulation, Price Waterfall, Revenue Cloud Operations Console price logs, or Apex debug logs depending on the task.
  5. Report findings as a concise pricing trace: inputs, matching rules/tables, executed elements/hooks, outputs, and likely fix.

Read the full file on GitHub · 40 lines

Files

What ships with it

3 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.

Changes

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.

  1. 12d ago First seen · 40 lines · 74 tokens per session scan A 931336403cca

Subscribe to this mod's changes

salesforce-revenue-cloud-pricing is a skill published in the GitHub repository arohitu/salesforce-revenue-cloud-skills (18 stars, last pushed 10d ago), licensed MIT. It adds 74 tokens to every session and 706 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 2026-08-30.

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