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 platform-agentsetup-categories-fetchgit 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/platform-agentsetup-categories-fetch)<a href="https://agentmods.dev/skills/forcedotcom/sf-skills/platform-agentsetup-categories-fetch"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-agentsetup-categories-fetch/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/platform-agentsetup-categories-fetch"><img src="https://agentmods.dev/badge/skills/forcedotcom/sf-skills/platform-agentsetup-categories-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00120 | $0.01051 |
| Opus 5 | $0.00060 | $0.00526 |
| Sonnet 5 | $0.00024 | $0.00210 |
| Haiku 4.5 | $0.00012 | $0.00105 |
Grade A, and why
platform-agentsetup-categories-fetch scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Always use `sf api request rest` — never curl or raw HTTP | curl bypasses `~/.sfdx` session tokens and requires manual Authorization headers, making it brittle | How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
platform-agentsetup-categories-fetch
Fetch prompt categories from the Agentic Setup Categories Connect API on a connected Salesforce org.
Scope
In scope:
- Calling
GET /services/data/{apiVersion}/agenticsetup/categoriesvia SF CLI - Passing the
fetchPromptsquery parameter to include nested prompts - Parsing and presenting the JSON response (categories, labels, prompts)
- Handling errors (403 when feature is disabled, auth failures)
Out of scope — delegate elsewhere:
- Creating or modifying prompt categories → not supported via this API (read-only)
- Org authentication setup → use
sf org loginseparately - Permission set assignment → assigning-permission-set
Required Inputs
The agent needs:
- A connected org (already authenticated via
sf org login) - Optionally: whether to include nested prompts (
fetchPrompts=true) - Optionally: target API version (default: v67.0). Replace
v67.0in the URL with the user-specified version if provided.
Workflow
1. Verify org connectivity
sf org display --json
Confirm the org is authenticated and extract the instance URL. If no default org is set, ask the user which org to target with --target-org.
2. Call the Categories API
Basic call (categories only):
sf api request rest /services/data/v67.0/agenticsetup/categories --method GET
With nested prompts:
sf api request rest "/services/data/v67.0/agenticsetup/categories?fetchPrompts=true" --method GET
3. Parse and present the response
The API returns a JSON object with a categories array. Each category has name, label, and prompts fields. See references/api-response-schema.md for the full response structure and examples for both fetchPrompts=true and fetchPrompts=false.
Present the results clearly:
- List categories with their name and label
- If
fetchPrompts=truewas used, show nested prompts under each category - Note any categories with empty
promptsarrays (means no prompts exist for that category)
What ships with it
1 file 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 · 114 lines · 120 tokens per session scan A d48bf3082325
platform-agentsetup-categories-fetch is a skill published in the GitHub repository forcedotcom/sf-skills (987 stars, last pushed yesterday), licensed Apache-2.0. It adds 120 tokens to every session and 1,051 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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