fsc-referral-management

fsc-referral-management is a skill for Claude Code, Codex from BanibrataChatterjee/AwesomeSalesforceSkills. It costs 113 tokens per session (3,340 once invoked), scanned A, original, Apache-2.0.

A guide to Salesforce Financial Services Cloud referrals, where incoming requests are classified, routed to the right people, and tracked through leads.

In plain words
What is it for?
Use it to configure referral mappings, route referrals by expressed interest, track referrer scores, and expose referrals to partners through Experience Cloud.
Why use it?
It helps connect referral types, lead record types, routing rules, and partner visibility so referrals reach the intended queue or user.

Skill for Claude CodeCodex

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

Good fit Use it to configure referral mappings, route referrals by expressed interest, track referrer scores, and expose referrals to partners through Experience Cloud.

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Install with agentmods
npx agentmods add skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management
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 BanibrataChatterjee/AwesomeSalesforceSkills --skill fsc-referral-management
Clone the repo
git clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkills

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 fsc-referral-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management/github.svg)](https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management)
Your own site
<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management/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.

agentmods 80×15 button for fsc-referral-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/fsc-referral-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,340 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 $0.00113 $0.03340
Opus 5 $0.00056 $0.01670
Sonnet 5 $0.00023 $0.00668
Haiku 4.5 $0.00011 $0.00334

Measured 9d ago against content hash 4ff1da6ce25b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fsc-referral-management 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_fsc_referral_management.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/admin/fsc-referral-management/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FSC Referral Management

Use this skill when configuring FSC Referral Management: defining referral types via ReferralRecordTypeMapping__mdt custom metadata, routing referrals through Lead Assignment Rules keyed on the Expressed Interest picklist, understanding Referrer Score behavior, and enabling partner referral visibility in Experience Cloud. It activates whenever a practitioner needs to wire together the Lead-based referral data model, the custom metadata registry, the picklist-driven routing logic, and downstream queues or partner portals.


Before Starting

Gather this context before working on anything in this domain:

  • Confirm the org has Financial Services Cloud provisioned and Referral Management is enabled in FSC Settings (Setup > Financial Services Cloud Settings > Referral Management toggle).
  • Identify all referral types the business requires. Each must map to both a Lead record type and a ReferralRecordTypeMapping__mdt entry — both are required for routing to function.
  • Confirm whether external partners submit referrals via an Experience Cloud site. If so, Referrer Score visibility requires explicit layout or component configuration that is off by default.
  • The most common wrong assumption: adding a new queue is sufficient for routing. It is not. The queue must be referenced in an active ReferralRecordTypeMapping__mdt entry or routing silently ignores it with no error.
  • Do not treat Einstein Referral Scoring as an active feature to configure. It was announced for retirement; Intelligent Need-Based Referrals is the supported scoring capability.

Core Concepts

The Extended Lead Object

FSC Referral Management does not introduce a separate object. It extends the standard Lead object with 11 custom fields that carry referral-specific data:

  • ExpressedInterest__c — picklist; the primary routing key for Lead Assignment Rules
  • ReferredBy__c — lookup to User (internal referrer) or Contact (external partner referrer)
  • ReferrerScore__c — integer 0–100 reflecting the referrer's historical conversion rate
  • ReferralType__c — controlled by the record type selected at creation
  • ReferralDate__c, ReferralStatus__c, ReferralChannel__c, and four additional contextual fields

Read the full file on GitHub · 203 lines

Files

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.

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. 9d ago First seen · 203 lines · 113 tokens per session scan A 4ff1da6ce25b

Subscribe to this mod's changes

fsc-referral-management is a skill published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 113 tokens to every session and 3,340 once invoked, about $0.0006 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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