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persona-review

persona-review is a skill for Claude Code from joymin5655/Agent. It costs 97 tokens per session (1,754 once invoked), scanned A, original, MIT.

A review that asks five synthetic Korean citizen personas how they would react to a user interface, written content, screenshot, component, or website.

In plain words
What is it for?
Use it to test first-visit understanding, trust, tone, pricing clarity, and other ordinary-user reactions to a product experience.
Why use it?
It exposes comprehension, trust, tone, and call-to-action problems that a code or security review would not assess.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the agent-harness-extras plugin — 10 skills, 1 agent shipped together

not rated 2repo changed 14d ago A scan 97 tokens original MIT

Good fit Use it to test first-visit understanding, trust, tone, pricing clarity, and other ordinary-user reactions to a product experience.

Compare 6 skills from other repositories ↓
View source ↗ joymin5655/Agent
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add joymin5655/Agent
Claude Code
/plugin install agent-harness-extras

Made for: Claude Code.

Or install agent-harness-extras, the plugin that ships this one along with the rest of its 10 skills, 1 agent.

Wrote 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.

agentmods badge for persona-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/joymin5655/agent/persona-review/github.svg)](https://agentmods.dev/skills/joymin5655/agent/persona-review)
Your own site
<a href="https://agentmods.dev/skills/joymin5655/agent/persona-review"><img src="https://agentmods.dev/badge/skills/joymin5655/agent/persona-review/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.

agentmods 80×15 button for persona-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/joymin5655/agent/persona-review"><img src="https://agentmods.dev/badge/skills/joymin5655/agent/persona-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,754 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.01754
Opus 5.5 $0.00039 $0.00702
Sonnet 5.5 $0.00019 $0.00351
Haiku 4.5 $0.00010 $0.00175

Measured 14d ago against content hash f14ca0b871d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

persona-review 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 14d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/build_catalog.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

extras/skills/persona-review/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/persona-review

Goal

Answer one question with evidence from a diverse panel of ordinary users: how would real people react to this? You seat five synthetic-but-grounded Korean personas — sampled from Korean census distributions — in front of a target artifact and report their reactions, frictions, and what to change.

This is a citizen/user lens: comprehension, trust, tone, and clarity. It stands beside code-reviewer (correctness) and security-reviewer (vulnerabilities) and replaces neither. A panelist may voice a worry that is really a security or correctness concern ("is my data safe here?") — capture it as a user worry and route it to the right reviewer; do not adjudicate it here.

Leading word: panel. Five independent voices, then one synthesis — not one voice pretending to be five.

Inputs

  • Target — the artifact under review: a URL, a file path, pasted copy, a screenshot description, or a component. Required.
  • Question (optional) — what to probe: first-read comprehension, trust, tone, call-to-action clarity, pricing legibility. Default when unstated: first-time-visitor comprehension + trust.
  • Catalog — ${CLAUDE_PLUGIN_ROOT}/skills/persona-review/personas/catalog.json (shipped). If it is missing or unparseable, stop and say so — do not invent personas.

Steps

1. Load the catalog

Read ${CLAUDE_PLUGIN_ROOT}/skills/persona-review/personas/catalog.json and confirm personas is a non-empty list. Each entry carries age, sex, province, occupation, education_level, a one-line summary, hobbies / skills, and a review_lens tag (1-2 of UX / 카피 / 접근성 / 신뢰 / 가격민감 — what kind of scrutiny this panelist is naturally suited to). Completion criterion: you can name the persona count and it is > 0.

2. Frame the target

State, in one line each: what the artifact is, and which question the panel answers. If the caller gave only "review this", use the default question. If the target is a URL or file you can open, open it first so panelists react to real content, not a guess.

Read the full file on GitHub · 149 lines

Files

What ships with it

2 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.

Changes

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.

  1. 14d ago Changed · +3 lines f14ca0b871d3
  2. 16d ago Changed 9a08823d1295
  3. 2mo ago First seen · 146 lines · 97 tokens per session scan A 2a74874035f6

Subscribe to this mod's changes

persona-review is a skill published in the GitHub repository joymin5655/Agent (2 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 1,754 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.

Claude CodeDesign and UXLLMResearchagent-infrastructureai-agentsdevtoolspolicy-as-code
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