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 2389-research/review-squad --skill normiesgit clone --depth 1 https://github.com/2389-research/review-squadWrote 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/2389-research/review-squad/normies)<a href="https://agentmods.dev/skills/2389-research/review-squad/normies"><img src="https://agentmods.dev/badge/skills/2389-research/review-squad/normies/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/2389-research/review-squad/normies"><img src="https://agentmods.dev/badge/skills/2389-research/review-squad/normies.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 | $0.00050 | $0.01756 |
| Opus 5 | $0.00025 | $0.00878 |
| Sonnet 5 | $0.00010 | $0.00351 |
| Haiku 4.5 | $0.00005 | $0.00176 |
Grade A, and why
normies 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 10d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Normies
Overview
Dispatch a panel of subagents, each role-playing a person with a different level of tech sophistication, who land on a site with zero context. They report what they understand, what confuses them, and where they give up. The organizing principle is the sophistication spectrum — from expert to novice.
This is NOT a technical review. The review-squad:experts skill handles code quality, SEO, accessibility compliance, etc. This skill answers: "Do real people understand my site?"
When to Use
- Before launch: "Will visitors understand what this is?"
- After redesign: "Did we make things clearer or more confusing?"
- New landing page: "Does this page communicate what we want?"
- Periodic check: "Have we lost sight of the newcomer experience?"
Workflow
digraph normies {
rankdir=TB;
"User requests first-time review" -> "Present default persona panel";
"Present default persona panel" -> "Ask: add, remove, or adjust?";
"Ask: add, remove, or adjust?" -> "Finalize panel";
"Finalize panel" -> "Ensure dev server is running";
"Ensure dev server is running" -> "Dispatch agents sequentially";
"Dispatch agents sequentially" -> "After each: report key impression";
"After each: report key impression" -> "All done?";
"All done?" -> "After each: report key impression" [label="no"];
"All done?" -> "Compile confusion matrix + recommendations" [label="yes"];
}
Sequential dispatch required. Browser MCP tools share a single browser instance. Agents must run one at a time, not in parallel.
The Default Panel (6 Personas)
Present this spectrum to the user before dispatching. They may adjust.
| # | Persona | Sophistication | Patience | Gives up after |
|---|---|---|---|---|
| 1 | Senior Developer | Expert | Low — notices every flaw | 30 seconds of confusion |
| 2 | Product Manager | High | Medium — goal-oriented, wants to "get it" fast | 45 seconds without clarity |
| 3 | College Student | Medium — digital native, low effort | Very low — scrolls fast, judges visually | 10 seconds of boredom |
| 4 | Small Business Owner | Medium — uses web daily, not technical | Low — busy, needs answers NOW | 60 seconds without finding what they need |
| 5 | Retired Teacher | Low — reads carefully, confused by jargon | High — will try, but gives up when lost | 2 minutes of confusion |
| 6 | Someone's Grandparent | Minimal — icons are meaningless, jargon is alien | Very high — wants to understand, easily defeated | First moment of real confusion |
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.
- 10d ago First seen · 153 lines · 50 tokens per session scan A bd5c60c92b21
normies is a skill published in the GitHub repository 2389-research/review-squad (12 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 1,756 once invoked, about $0.0003 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 2026-08-31.
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