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 skills/onewave-ai/open-agent-stack/apply-stylenpx skills add OneWave-AI/open-agent-stack --skill apply-stylegit clone --depth 1 https://github.com/OneWave-AI/open-agent-stackWrote 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/onewave-ai/open-agent-stack/apply-style)<a href="https://agentmods.dev/skills/onewave-ai/open-agent-stack/apply-style"><img src="https://agentmods.dev/badge/skills/onewave-ai/open-agent-stack/apply-style.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 | $0.00052 | $0.00435 |
| Opus 5 | $0.00026 | $0.00217 |
| Sonnet 5 | $0.00010 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
apply-style 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 4d 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
Apply OneWave Style
Apply a warm, earth-toned, dark-background design system as tokens and a theme
binding. Keep entry work lean; pull exact values from references/tokens.md and
stack notes from references/stacks.md.
Constraints
- Never emit purple in any color, token, gradient, or preview.
- Never put emoji in UI output; use an icon library reference instead.
- Never invent secrets. This skill needs no API key. If the user provides a live brand URL, read it with the built-in web tool, which needs no configuration.
Workflow
- Detect the stack. Look for
tailwind.config.{js,ts,cjs,mjs}, a global CSS file, and the framework inpackage.json. Record what you find. - Read
references/tokens.mdfor the canonical color, type, spacing, and radius values. Treat that file as the source of truth. - If the user supplied a brand reference URL, read it with the web tool and note any overrides; otherwise use the reference defaults unchanged.
- Write the token block as CSS custom properties on
:rootin the project's global stylesheet. Group by color, typography, spacing, and radius. - Bind the tokens to the stack using
references/stacks.md: extend the Tailwind theme to consume the custom properties, or map plain-CSS utility classes. - Add one preview snippet (a header, a button, and a card) that consumes only the tokens, so the user can verify the look in isolation.
- Scan the result for violations: any purple value or emoji is a failure. Remove and replace before finishing.
- Report the files changed and the next step (adopt tokens across components).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 36 lines · 52 tokens per session scan A 19f22bb63e0e
apply-style is a skill published in the GitHub repository OneWave-AI/open-agent-stack (2 stars, last pushed 24d ago), licensed MIT. It adds 52 tokens to every session and 435 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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