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 BanibrataChatterjee/AwesomeSalesforceSkills --skill analytics-recipe-designgit clone --depth 1 https://github.com/BanibrataChatterjee/AwesomeSalesforceSkillsWrote 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/banibratachatterjee/awesomesalesforceskills/analytics-recipe-design)<a href="https://agentmods.dev/skills/banibratachatterjee/awesomesalesforceskills/analytics-recipe-design"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/analytics-recipe-design/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/banibratachatterjee/awesomesalesforceskills/analytics-recipe-design"><img src="https://agentmods.dev/badge/skills/banibratachatterjee/awesomesalesforceskills/analytics-recipe-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00081 | $0.03331 |
| Opus 5 | $0.00041 | $0.01665 |
| Sonnet 5 | $0.00016 | $0.00666 |
| Haiku 4.5 | $0.00008 | $0.00333 |
Grade A, and why
analytics-recipe-design 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 8d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analytics Recipe Design
Use this skill to design CRM Analytics Data Prep recipes: selecting the right node types, configuring joins without silent row loss, building bucket dimensions, writing formula expressions, and wiring up recipe schedules through the Schedule Resource API. This skill does NOT cover SAQL query writing, dashboard lens design, or legacy dataflow JSON configuration.
Before Starting
Gather this context before working on anything in this domain:
- Confirm the org has CRM Analytics enabled and the user has the Analytics Cloud - Analytics User or CRM Analytics Plus User permission set.
- Identify whether the recipe replaces an existing dataflow — recipes are the recommended path for new development as of Spring '25, but existing dataflows are not automatically migrated.
- Know the row counts of your input datasets. Recipes reprocess the full input on every run — there is no native incremental load support, so large inputs have a direct impact on run time and quota consumption.
- Clarify the join cardinality. Using an Inner join when the requirement is "preserve all left-side rows" silently drops unmatched rows and is the single most common source of unexplained row count shrinkage.
Core Concepts
Recipe Node Types
A CRM Analytics recipe is a directed acyclic graph of typed nodes on a visual canvas in Data Prep. Every node has exactly one function:
| Node | Role |
|---|---|
| Load | Reads a registered dataset or connected object into the recipe graph. Every recipe starts with at least one Load node. |
| Filter | Applies row-level inclusion/exclusion predicates. Reduces row count without changing schema. |
| Join | Combines two input streams on one or more key fields. Join type controls how unmatched rows are handled — see Join Types below. |
| Bucket | Creates a new categorical dimension column by assigning rows to named buckets based on value ranges or discrete values. Typed by field kind: Measure, Dimension, or Date. |
| Formula | Adds a computed column using the recipe expression language (not SAQL). Supports arithmetic, string, date, and conditional functions. |
| Append | Unions two datasets with compatible schemas (like SQL UNION ALL). Rows from both inputs are preserved. |
| Aggregate | Groups rows and computes aggregations (SUM, COUNT, MIN, MAX, AVG). Reduces row count to one row per group. |
| Flatten | Expands a hierarchical dataset (commonly used with Salesforce role hierarchies) into a flat structure. |
| Output | Writes the result of the preceding node graph to a named CRM Analytics dataset. A recipe must have at least one Output node. |
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.
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.
- 8d ago First seen · 238 lines · 81 tokens per session scan A 990c2af5c47a
analytics-recipe-design is a skill published in the GitHub repository BanibrataChatterjee/AwesomeSalesforceSkills (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 81 tokens to every session and 3,331 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 2026-09-03.
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