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.
git clone --depth 1 https://github.com/Yrzhe/claude-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/plugins/yrzhe/claude-skills/persona-sim)<a href="https://agentmods.dev/plugins/yrzhe/claude-skills/persona-sim"><img src="https://agentmods.dev/badge/plugins/yrzhe/claude-skills/persona-sim.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/plugins/yrzhe/claude-skills/persona-sim"><img src="https://agentmods.dev/badge/plugins/yrzhe/claude-skills/persona-sim.svg?style=web" alt="Reviewed on agentmods" width="80" height="15"></a>Grade A, and why
persona-sim 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 8d 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.
What it actually says
{
"name": "persona-sim",
"version": "0.1.0",
"description": "Simulate feedback from census-grounded virtual populations. Panel-score product/copy, predict votes with IPF post-stratification, or run what-if social-sandbox experiments. Ships with 4 skills (core + product-feedback / vote-predict / social-sandbox), a bias audit module, and 6 eval suites (GSS, BFI, test-retest, diversity, demo-correlation, bias-audit).",
"author": {
"name": "yrzhe",
"url": "https://x.com/yrzhe_top"
},
"license": "MIT",
"repository": "https://github.com/yrzhe/claude-skills",
"keywords": [
"persona",
"simulation",
"nemotron",
"silicon-sample",
"synthetic-population",
"generative-agents",
"sgo",
"product-feedback",
"vote-predict",
"social-sandbox",
"ipf",
"bias-audit"
]
}
What it installs
The manifest is a name and a version. 4 skills travel with it, and installing the plugin installs all of them — 390 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 8d ago First seen · 26 lines scan A f4dba72fab04
persona-sim is a plugin published in the GitHub repository Yrzhe/claude-skills (33 stars, last pushed 3mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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