consumer-goods-accruals-datakit-deploy

consumer-goods-accruals-datakit-deploy is a skill for Claude Code, Codex from forcedotcom/sf-skills. It costs 197 tokens per session (4,873 once invoked), scanned A, original, Apache-2.0.

An end-to-end deployment workflow for the TPM Liability Accruals data kit in a Salesforce organization. It checks the organization, verifies its Data Cloud connection, installs the kit, and schedules its export and calculation steps.

In plain words
What is it for?
Use it to install the accrual engine, verify Data Cloud readiness, deploy the data kit, schedule processing, and write the required report.
Why use it?
It coordinates the setup checks and deployment steps that are easy to miss when performed separately. It also requires a report file for successful, blocked, or failed runs.

Skill for Claude CodeCodex

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

Good fit Use it to install the accrual engine, verify Data Cloud readiness, deploy the data kit, schedule processing, and write the required report.

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Install with agentmods
npx agentmods add skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy
About the project

forcedotcom/sf-skills is a collection of reusable instructions that help AI coding agents build and work with Salesforce applications and platform features. Developers use it for Agentforce agents, Lightning apps, Flow, Apex, SOQL, Lightning Web Components, and related Salesforce configuration. The catalogue entries are the repository’s skills, plugins, commands, MCP servers, and agents for AI tools that support skills.

forcedotcom/sf-skills · 1,097 stars · on GitHub

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 forcedotcom/sf-skills --skill consumer-goods-accruals-datakit-deploy
Clone the repo
git clone --depth 1 https://github.com/forcedotcom/sf-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 consumer-goods-accruals-datakit-deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy/github.svg)](https://agentmods.dev/skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy)
Your own site
<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy/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 consumer-goods-accruals-datakit-deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/consumer-goods-accruals-datakit-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 197 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,873 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 $0.00197 $0.04873
Opus 5.5 $0.00079 $0.01949
Sonnet 5.5 $0.00039 $0.00975
Haiku 4.5 $0.00020 $0.00487

Measured 9d ago against content hash bd7d4def238b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

consumer-goods-accruals-datakit-deploy 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 12 executable files (scripts/setup.js, scripts/steps/00-check-prerequisites.js, scripts/steps/01-download-static-resource.js, …), 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/consumer-goods-accruals-datakit-deploy/SKILL.md · 374 lines

How it starts

The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MANDATORY: Always write the Phase 6 report

After completing all phases — including early stops, blocked phases, or error conditions — you MUST write the Phase 6 report to disk. Failure to write the report is always a test failure, regardless of how well you handled the scenario.

This applies to ALL exit paths without exception:

  • Normal completion (all phases ran)
  • Phase 1 stop (preflight failed, sales org not found, CGCloudAddons missing, Data Cloud not enabled)
  • Phase 3 error (setup script non-zero exit)
  • Phase 4 failure detection (DataKitDeploymentLog failures)
  • Schedule conflict (Phase 5 guard triggered)
  • Any other blocking condition (missing inputs, org unreachable, etc.)

Write the report to ${outputDir}/report.md (the path from the generatedFileLocationDirective in the task). Do not print it as a chat message only — it must exist as a file on disk. If you handled a scenario correctly but never wrote the file, the eval will record no_output and score zero.


Deploy the Accrual Data Kit

Installs the TPM Liability Accruals solution into a Salesforce org end to end. Runs the full setup toolchain bundled in scripts/: checks the org is ready, verifies the Data Cloud connection, downloads the CGCloudAddons static resource, deploys the data kit, confirms the deployment, and schedules the Data Cloud export and accrual calculation chain.

Designed for headless delivery: point it at an org and it runs the full install.

The namespace differs per build: cgcloud (released), cgcloud_dev (dev/beta), or no prefix (source-only). The setup script auto-detects the prefix at runtime via the DataCloudExportScheduler Apex class query. Never hardcode cgcloud. or cgcloud_dev..

Reference: TPM Accrual Engine concept

Run the setup script from the skill root directory:

node scripts/setup.js --org <alias> [options]

Inputs to collect

Read the full file on GitHub · 374 lines

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 Changed · -10 lines bd7d4def238b
  2. 28d ago First seen · 384 lines · 197 tokens per session scan A c419a2cf2a09

Subscribe to this mod's changes

consumer-goods-accruals-datakit-deploy is a skill published in the GitHub repository forcedotcom/sf-skills (1,097 stars, last pushed today), licensed Apache-2.0. It adds 197 tokens to every session and 4,873 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-19.

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