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.
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 data360-schema-getgit 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/data360-schema-get)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/data360-schema-get"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/data360-schema-get/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/data360-schema-get"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/data360-schema-get.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00067 | $0.02614 |
| Opus 5.5 | $0.00027 | $0.01046 |
| Sonnet 5.5 | $0.00013 | $0.00523 |
| Haiku 4.5 | $0.00007 | $0.00261 |
Grade A, and why
data360-schema-get 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.
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 — 389 lines — stays where its author put it; the contents beside it link to each section on GitHub.
data360-schema-get Skill
Overview
This skill retrieves Data Lake Object (DLO) and Data Model Object (DMO) schema information from Salesforce Data Cloud using the SSOT REST API. It can list all DLOs or DMOs in an org, or retrieve detailed schema for a specific DLO or DMO.
When to Use
- User wants to see all DLOs or DMOs in a Data Cloud org
- User needs field schema for a specific DLO or DMO
- User is exploring Data Cloud data structures
- User needs to understand DLO or DMO field types and metadata
Prerequisites
- SF CLI installed and authenticated to target org
- Org has Data Cloud enabled
- User has appropriate Data Cloud permissions
Skill Execution
Parameters
- org_alias (required): The SF CLI org alias (e.g., 'afvibe', 'myorg')
- dlo_name (optional): Specific DLO developer name (e.g., 'Employee__dll')
- dmo_name (optional): Specific DMO developer name (e.g., 'Individual__dlm')
Step 1: Discover Connected Org
First, run sf org list to find out which org is connected and extract the alias to use for all subsequent calls:
sf org list
Example output:
┌────┬───────┬──────────────────────────┬────────────────────┬───────────┐
│ │ Alias │ Username │ Org Id │ Status │
├────┼───────┼──────────────────────────┼────────────────────┼───────────┤
│ │ myorg │ [email protected] │ 00DKZ00000b80NT2AY │ Connected │
└────┴───────┴──────────────────────────┴────────────────────┴───────────┘
Extract the Alias value (e.g., myorg) from the output and use it as the <org_alias> for all subsequent calls. Use --all to see expired and deleted scratch orgs as well.
Step 2: Validate SF CLI Authentication
Before making API calls, verify the org is connected:
sf org display --target-org <org_alias> --json
If not connected, inform user to run:
sf org login web --alias <org_alias>
Step 3a: Execute DLO Schema Script
The Python scripts are bundled with this skill in the scripts/ subdirectory.
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.
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.
- 9d ago Changed f5733654d509
- 1mo ago First seen · 389 lines · 67 tokens per session scan A 2892cb7d82b9
data360-schema-get is a skill published in the GitHub repository forcedotcom/sf-skills (1,097 stars, last pushed today), licensed Apache-2.0. It adds 67 tokens to every session and 2,614 once invoked, about $0.0003 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 2026-09-03.
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