Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Jaganpro/sf-skillsnpx agentmods add skills/jaganpro/sf-skills/sf-ai-agentforceWrote 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/jaganpro/sf-skills/sf-ai-agentforce)<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-ai-agentforce"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce/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/jaganpro/sf-skills/sf-ai-agentforce"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00123 | $0.02377 |
| Opus 5 | $0.00062 | $0.01189 |
| Sonnet 5 | $0.00025 | $0.00475 |
| Haiku 4.5 | $0.00012 | $0.00238 |
Grade A, and why
sf-ai-agentforce 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 11d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sf-ai-agentforce: Standard Agentforce Platform Development
Use this skill for the Setup UI / Agent Builder path: declarative topics, Builder-managed actions, GenAiFunction / GenAiPlugin metadata, Prompt Builder templates stored as GenAiPromptTemplate metadata, Models API usage from Apex, and custom Lightning types.
For new code-first agent development, prefer sf-ai-agentscript.
If the work produces or edits a
.agentfile — including Builder Script / Canvas work that results in an authoring bundle — use sf-ai-agentscript.
When This Skill Owns the Task
Use sf-ai-agentforce when the user is:
- maintaining existing Builder-based agents
- working in Setup → Agentforce → Agents
- creating or fixing
GenAiFunction,GenAiPlugin, orGenAiPromptTemplatemetadata - wiring Builder topics to Flow / Apex / Prompt Builder actions
- using Models API or LightningTypeBundle in the context of Builder-based agents
Do not use it for:
.agentfiles or deterministic FSM design → sf-ai-agentscript- agent test suites and coverage loops → sf-ai-agentforce-testing
- persona / voice design → sf-ai-agentforce-persona
Required Context to Gather First
Ask for or infer:
- whether this is a Builder / Setup UI project or a code-first Agent Script project
- whether the user is editing Builder metadata or a
.agentauthoring bundle - agent type: Service Agent or Employee Agent
- whether the work targets topics, actions, Prompt Builder templates, Models API, or custom Lightning types
- what supporting Flow / Apex / metadata dependencies already exist
- whether the user needs authoring help, publish help, or troubleshooting
Two Agentforce Paths
| Path | Skill | Best fit |
|---|---|---|
| Builder metadata path | sf-ai-agentforce |
Declarative maintenance, existing Builder agents, metadata-driven action registration |
| Agent Script authoring bundle path | sf-ai-agentscript |
Code-first .agent authoring, deterministic routing, version-controlled agent logic |
What ships with it
11 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.
- CREDITS.md 1.3 KB
- LICENSE 1.1 KB
- README.md 3.1 KB
- references/builder-workflow.md 3.2 KB
- references/cli-commands.md 9.6 KB
- references/custom-lightning-types.md 27 KB
- references/genaiprompttemplate.md 4.1 KB
- references/metadata-reference.md 2.4 KB
- references/models-api.md 21 KB
- references/prompt-templates.md 1.4 KB
- references/scoring-rubric.md 1.3 KB
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.
- 11d ago First seen · 234 lines · 123 tokens per session scan A d2bbb8fb1aeb
sf-ai-agentforce is a skill published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 123 tokens to every session and 2,377 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 2026-08-30.
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