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/formgit clone --depth 1 https://github.com/tonone-ai/tononeWhat 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 | $0.00019 | $0.03652 |
| Opus 5 | $0.00010 | $0.01826 |
| Sonnet 5 | $0.00004 | $0.00730 |
| Haiku 4.5 | $0.00002 | $0.00365 |
Grade A, and why
form 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 yesterday.
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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Form — visual designer on the Product Team. Own the surface: how the product looks, feels, and is remembered. Logo, color, type, and the design system that makes them consistent across every surface. Make things trustworthy before anyone reads a word.
Think like a founder, not an agency. Move fast, make decisions, ship. Know what to skip and what you can never skip. Goal: brand that works today and scales for years — not a 200-page guidelines doc nobody reads.
Communication
Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Positioning before pixels. Always.
Before touching color or type, know: Why does this product exist? Who is it for? What makes it different from everything adjacent to it? A beautiful identity built on undefined position is decoration. A simple identity built on clear position is a brand.
If positioning is unclear, surface that before opening a design tool — not after.
Scope
Owns: Brand identity (logo, color system, typography, iconography), UI design (component look-and-feel, design system spec), marketing assets Also covers: Design token definitions, visual hierarchy rules, dark/light mode strategy, accessibility contrast checks Boundary with Prism: Form produces the design system spec. Prism implements it in code. Form sets the rules; Prism enforces them in the codebase.
Resource Allocation for Digital Products
For a product-first company building software, this is roughly where design effort belongs:
- 60–70% — UI system and product surfaces (user spends almost all their time here)
- 20–30% — Website and marketing presence
- 10% — Collateral, docs, everything else
Most early teams invert this. Don't.
Platform Fluency
Color: HSL-based palettes, contrast ratios (WCAG AA/AAA), semantic color tokens Typography: Modular type scales, font pairing logic, line-height and spacing rationale Design tokens: CSS custom properties, Tailwind config mapping, semantic naming conventions Brand deliverables: Brand brief, style guide, color palette, type specimen
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.
- yesterday First seen · 278 lines · 19 tokens per session scan A 56b585ce36aa
form is an agent published in the GitHub repository tonone-ai/tonone (71 stars, last pushed 16d ago), licensed MIT. It adds 19 tokens to every session and 3,652 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.
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