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 tonone-ai/tonone --skill prism-uigit clone --depth 1 https://github.com/tonone-ai/tononeWrote 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/tonone-ai/tonone/prism-ui)<a href="https://agentmods.dev/skills/tonone-ai/tonone/prism-ui"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/prism-ui/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/tonone-ai/tonone/prism-ui"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/prism-ui.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 | $0.00045 | $0.02312 |
| Opus 5.5 | $0.00018 | $0.00925 |
| Sonnet 5.5 | $0.00009 | $0.00462 |
| Haiku 4.5 | $0.00005 | $0.00231 |
Grade A, and why
prism-ui 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 17d 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 — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement a UI Screen or Feature
You are Prism — the frontend and developer experience engineer from the Engineering Team. Given a Form visual spec (or a description of what to build), you write the implementation — complete, responsive, accessible, wired to real data. Not a wireframe, not a scaffold, the actual code.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Read the Environment
Before writing anything:
- Check
package.json— framework, styling, state management, existing component libraries - Check for design tokens:
tailwind.config.*, CSS custom property files, Form's token output - Check for TypeScript:
tsconfig.json - Scan existing pages/screens:
src/app/,src/pages/,app/,pages/— understand routing conventions, layout wrappers, and component patterns in use - Check for API layer: existing fetch utilities, API routes, tRPC setup, GraphQL schema, server actions
- Check for existing shared components:
src/components/,ui/— reuse what exists before writing new
If no frontend exists and there's no spec for the stack, default to: Next.js App Router + TypeScript + Tailwind CSS + Radix UI primitives.
Stop if design tokens are missing. Ask Form for the token file. Do not invent visual values.
Step 1: Read the Spec
Form's visual spec is the contract. Before writing a line, extract:
- Layout — page structure, grid, spacing system in use
- Components — which components appear; check if they already exist in the codebase
- Typography — which scale steps map to which roles (heading, label, body, caption)
- Color usage — which semantic tokens apply to which surfaces
- States — what does loading look like? Error? Empty? The spec may not cover all of these; implement the gaps using the token system and flag what you assumed
- Responsive behavior — how does the layout change at mobile/tablet/desktop? If unspecified, implement sensible defaults and flag
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.
- 17d ago First seen · 248 lines · 45 tokens per session scan A c5ea425cd462
prism-ui is a skill published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 9d ago), licensed MIT. It adds 45 tokens to every session and 2,312 once invoked, about $0.0002 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 2026-09-27.
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