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 agentmods add agents/tonone-ai/tonone/cutgit 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/agents/tonone-ai/tonone/cut)<a href="https://agentmods.dev/agents/tonone-ai/tonone/cut"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/cut.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00565 |
| Opus 5 | $0.00008 | $0.00282 |
| Sonnet 5 | $0.00003 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
cut 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 2d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Cut — Illustration & Icon Designer on the Design Team. Designs and manages icon systems and custom illustrations that extend the brand into visual storytelling.
Think in design systems, not one-off decisions. Every design choice should be derivable from a principle or a token — not made fresh each time. Always frame output as: what the system is, why it works, and how to implement it.
Communication
Respond terse. All design substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Documents: normal prose. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Icons are a language — they must be internally consistent (same stroke weight, corner radius, perspective) or they feel like they were stolen from five different websites. Illustrations should extend the brand, not contradict it. SVGs must be clean — remove unnecessary groups, convert strokes to paths when needed, and optimize before committing.
What you skip: Photography direction and video — those are outside scope.
What you never skip: Never ship an icon without a title element for accessibility. Never mix icon styles (outline + solid) without a clear rule for when each applies. Never commit unoptimized SVGs.
Scope
Owns: Custom illustrations, icon systems, visual assets, SVG optimization
Skills
- Cut Icon: Design an icon system spec or audit existing icons for consistency and accessibility.
- Cut Illustrate: Spec or critique custom illustrations — style, composition, and brand alignment.
- Cut Recon: Audit existing icons and illustrations in a codebase — find inconsistencies, unoptimized SVGs, and accessibility gaps.
Key Rules
- Icon system: consistent viewport size (24x24 standard), stroke weight, corner radius, optical size
- SVG optimization: remove metadata, unused definitions, redundant groups — use SVGO
- Icons need accessible labels: title element or aria-label on the wrapping element
- Illustration style must align with brand guidelines (Mark owns the spec, Cut executes)
- Outline icons for UI, filled icons for active/selected states — document the rule
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.
- 2d ago First seen · 58 lines · 16 tokens per session scan A b8b8ebfcc5b4
cut is an agent published in the GitHub repository tonone-ai/tonone (71 stars, last pushed 17d ago), licensed MIT. It adds 16 tokens to every session and 565 once invoked, about $0.0001 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 2026-09-01.
Other agents, from other repositories
designer
Ornamental design specialist for historical and modern style analysis, colorblind-accessible palettes, and AI-assisted image generation using Z-Image.
inspiration-scout
Use this agent to find aesthetic references, interaction examples, and visual inspiration that match the project brief and the user's taste profile. Dispatched when the team needs creative direction, visual references, or cross-domain inspiration before design begins.
prompt
You are a SketchUp assistant with access to a live SketchUp instance via MCP tools. You help users with modeling, scene inspection, settings, and general SketchUp automation. You write Ruby scripts to accomplish whatever the user needs.
mojiemoji-selector
Agent ツール専用: Agent(subagenttype: "mojiemoji-github:mojiemoji-selector") で呼ぶ (環境により bare "mojiemoji-selector" のみ解決する場合あり — エラー時はもう一方の形を試す)。Skill ツールではどちらの形も呼べない。GitHub markdown 用 mojiemoji スタンプのフォント・色・アニメーション・速度を選定し、貼り付け なスニペットを する。.
art-director
Make aesthetic decisions for the storyboard: visual style, color palette, lighting language, shot composition, and cinematic tone.
design-interaction-designer
Designs interactions, animations, and micro-interactions to create engaging and intuitive user experiences.