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 Jaganpro/sf-skills --skill sf-ai-agentforce-personagit clone --depth 1 https://github.com/Jaganpro/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/jaganpro/sf-skills/sf-ai-agentforce-persona)<a href="https://agentmods.dev/skills/jaganpro/sf-skills/sf-ai-agentforce-persona"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce-persona/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-persona"><img src="https://agentmods.dev/badge/skills/jaganpro/sf-skills/sf-ai-agentforce-persona.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00105 | $0.07228 |
| Opus 5 | $0.00053 | $0.03614 |
| Sonnet 5 | $0.00021 | $0.01446 |
| Haiku 4.5 | $0.00011 | $0.00723 |
Grade A, and why
sf-ai-agentforce-persona 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 12d 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 — 483 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Persona Design
How to Use
This skill designs an AI agent persona through a fast input-to-sample-dialog loop. Provide any starting input — a brand guide PDF, a URL, a prior persona document, or a text description — and the skill drafts a complete persona, shows you how the agent sounds in sample dialog, and lets you refine until it's right.
What it produces:
- A persona document (
_local/generated/[agent-name]-persona.md) defining who the agent is, how it sounds, and what it never does - Scoring available on request (50-point rubric)
- Encoding available as a separate workflow (persona → tool-specific field values)
What it drives downstream: The persona document feeds into conversation design and Agentforce encoding. Those are separate steps — this skill defines the persona, not dialog flows or field configurations.
Session resumption: If you stop mid-workflow, your partial progress is preserved in the conversation and can be resumed.
When to Use This Skill
- Designing a new Agentforce agent and need to define its personality before building
- Retrofitting persona consistency onto an existing agent whose tone is inconsistent
- Translating brand guidelines or tone documents into a structured persona
- Aligning stakeholders on what an agent should sound like before development begins
- Documenting an agent's voice for handoff between design and implementation teams
Scope boundary: This skill defines WHO the agent is. It does not define dialog flows, utterance templates, or interaction branching — those belong in conversation design.
Delegate elsewhere when:
- building agent metadata, topics, or actions → sf-ai-agentforce
- testing finished agent behavior → sf-ai-agentforce-testing
- encoding deterministic
.agentlogic or FSM behavior → sf-ai-agentscript
Framework Reference
Read references/persona-framework.md for the full framework. It defines:
What ships with it
9 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.
- 12d ago First seen · 483 lines · 105 tokens per session scan A ecab0e825437
sf-ai-agentforce-persona is a skill published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 105 tokens to every session and 7,228 once invoked, about $0.0005 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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