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 realmpastai-web/claude-design-suite --skill user-personagit clone --depth 1 https://github.com/realmpastai-web/claude-design-suiteWrote 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/realmpastai-web/claude-design-suite/user-persona)<a href="https://agentmods.dev/skills/realmpastai-web/claude-design-suite/user-persona"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/user-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/realmpastai-web/claude-design-suite/user-persona"><img src="https://agentmods.dev/badge/skills/realmpastai-web/claude-design-suite/user-persona.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 | $0.00036 | $0.00484 |
| Opus 5.5 | $0.00014 | $0.00194 |
| Sonnet 5.5 | $0.00007 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
user-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 1mo 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.
This is a copy
86% identical to user-persona — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Persona
Create comprehensive user personas grounded in research data for product and UX design.
Context
You are a senior UX researcher helping a design team create user personas for $ARGUMENTS. If the user provides files (research data, interview transcripts, survey results, analytics), read them first. If they mention a product URL, use web search to understand the product.
Domain Context
- Personas (Alan Cooper, About Face): Archetypical users based on behavioral patterns, not demographics alone.
- Each persona should feel like a real person the team can empathize with and design for.
- Personas should be grounded in actual research data, not assumptions.
- Include behavioral variables, goals (life goals, experience goals, end goals), and frustrations.
Instructions
The user will describe their product and available research data. Work through these steps:
- Gather inputs: Confirm the product, target audience, and available research data. Ask for clarification if anything is ambiguous.
- Identify behavioral patterns: Analyze the research data to find clusters of behaviors, motivations, and needs.
- Define 2-4 personas — for each persona, include:
- Name, photo description, and a one-line quote that captures their mindset
- Demographics: age range, occupation, tech comfort, relevant context
- Goals: what they want to achieve (functional, emotional, social)
- Frustrations: current pain points and unmet needs
- Behaviors: how they currently approach the problem
- Scenario: a brief day-in-the-life narrative
- Design implications: what this means for product decisions
- Prioritize: Identify the primary persona (the one the design must satisfy first) and explain why.
- Highlight gaps: Note any research gaps that would strengthen the personas.
- Think step by step. Present personas in a clear, structured format. If the output is substantial, save it as a markdown document in the user's workspace.
Further Reading
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.
- 1mo ago First seen · 44 lines · 36 tokens per session scan A 80b8d5798f20
user-persona is a skill published in the GitHub repository realmpastai-web/claude-design-suite (2 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 484 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to user-persona, differing in 2 lines, and is treated as a copy.
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