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/takechanman1228/claude-personanpx agentmods add skills/takechanman1228/claude-persona/personaWrote 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/takechanman1228/claude-persona/persona)<a href="https://agentmods.dev/skills/takechanman1228/claude-persona/persona"><img src="https://agentmods.dev/badge/skills/takechanman1228/claude-persona/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/takechanman1228/claude-persona/persona"><img src="https://agentmods.dev/badge/skills/takechanman1228/claude-persona/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 | $0.00104 | $0.07210 |
| Opus 5 | $0.00052 | $0.03605 |
| Sonnet 5 | $0.00021 | $0.01442 |
| Haiku 4.5 | $0.00010 | $0.00721 |
Grade A, and why
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 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 — 675 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Persona Panels for Customer Research
Build reusable persona panels, ask open-ended customer questions, and run concept tests on messages, offers, and product ideas.
3-Step Workflow
Inspired by TinyTroupe (Generate Personas → Simulate Interactions → Extract & Analyze):
| Step | What happens | Component |
|---|---|---|
| 1. Build Panel | Define your market, generate diverse personas | Panel Builder |
| 2. Run Ask / Concept Test | Each persona responds independently in its own subprocess | Simulation Engine |
| 3. Review Findings | Structured report with themes, cross-tabs, charts, and verbatims | Analysis Pipeline |
Recommended workflow:
/persona generate— build a reusable panel/persona ask— explore motivations, barriers, language, and decision criteria/persona concept-test— compare explicit options when ready for a structured choice task
Quality Guidelines
- Take your time with persona generation. Diverse, detailed personas are the foundation of useful results. Do not skip diversity verification.
- Do not skip validation. Always verify response JSON structure before proceeding to analysis.
- Quality over speed. A 5-persona panel with rich, differentiated responses is more valuable than a 15-persona panel with generic answers.
Quick Reference
| Command | What it does |
|---|---|
/persona generate Running shoe shoppers in the US |
Build a reusable panel (default 5 personas) |
/persona generate --count 10 Gen Z skincare shoppers in the US |
Panel with custom size |
/persona generate --segments Canned coffee drinkers in Japan |
Segment-driven panel (default 15) |
/persona ask What frustrates you most about choosing skincare products? |
Explore motivations and barriers |
/persona ask Why would you ignore an ad for a new running shoe? |
Qualitative reaction before concept test |
/persona concept-test Compare 3 running shoe concepts |
Concept test — concepts provided interactively |
/persona concept-test --market japan Evaluate 3 canned coffee concepts |
Concept test with Japanese panel |
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 · 675 lines · 104 tokens per session scan A fbc741012554
persona is a skill published in the GitHub repository takechanman1228/claude-persona (52 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 7,210 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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ecom
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html-ppt-zhangzara-coral
OpenDesign's community-growth campaign across GitHub, Discord, and X: the loops, the content calendar, and the pipeline math. Built as a decision-grade marketing & GTM deck for growth team, community lead.
ads
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad…
co-marketing
When the user wants to find co-marketing partners, plan joint campaigns, or brainstorm partnership opportunities. Use when the user says 'co-marketing,' 'partner marketing,' 'joint campaign,' 'who should we partner with,' 'integration marketing,' 'cross-promotion,' 'collaborate with another company,' 'partnership…
press-media-relations
Use when the user asks to "build a media list for my launch", "write a launch press release", or "pitch press under embargo"; produces a three-tier media and analyst list (Tier 1 exclusive candidates, Tier 2 vertical press, Tier 3 communities and newsletters), an embargo pitch timing skeleton keyed to the…
share-of-voice-tracker
Use when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the…