Borrowing it
Nothing to install: this file belongs to Coinyak/onchainai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Coinyak/onchainai/main/.agents/skills/responsive-design/SKILL.mdgit clone --depth 1 https://github.com/Coinyak/onchainaiWrote 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/coinyak/onchainai/responsive-design)<a href="https://agentmods.dev/skills/coinyak/onchainai/responsive-design"><img src="https://agentmods.dev/badge/skills/coinyak/onchainai/responsive-design/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/coinyak/onchainai/responsive-design"><img src="https://agentmods.dev/badge/skills/coinyak/onchainai/responsive-design.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 | $0.00106 | $0.02532 |
| Opus 5.5 | $0.00042 | $0.01013 |
| Sonnet 5.5 | $0.00021 | $0.00506 |
| Haiku 4.5 | $0.00011 | $0.00253 |
Grade A, and why
responsive-design 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 1mo 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Responsive Design
Use this skill when the job is to name the failing responsive surface, choose the smallest viable adaptation packet, and leave behind a short strategy + verification brief.
The job is not to dump generic CSS recipes, paste framework snippets, or absorb every neighboring frontend concern.
This skill should:
- classify the responsive failure first,
- choose one primary responsive packet,
- keep viewport vs container ownership explicit,
- separate dense-data and media cases from generic layout advice,
- keep reflow/verification visible,
- route neighboring frontend work honestly.
Read these support docs first:
- references/intake-packets-and-route-outs.md
- references/layout-decision-checklist.md
- references/handoff-boundaries.md
When to use this skill
- A team says “this page breaks on mobile” and the real responsive surface is still unclear.
- A dashboard, nav, form, card grid, pricing page, table, or embed needs a responsive strategy before more breakpoints are added.
- You need to decide whether the fix belongs in viewport layout rules, container queries, intrinsic layout, responsive media handling, or verification/reflow follow-up.
- A launch-readiness pass uncovered overflow, wrapping, density, or zoom/reflow failures and someone needs one bounded packet instead of a CSS lecture.
- The request mixes page-level adaptation, component reuse, and dense-data pressure and needs routing before implementation.
When not to use this skill
- The main task is reusable primitive / slot / variant API design or component-family ownership →
ui-component-patterns - The main task is keyboard/focus behavior, semantics, labels, contrast, reduced motion, or accessibility-heavy remediation →
web-accessibility - The main task is breakpoint governance, token policy, or cross-product responsive standards →
design-system - The main task is broad UI critique, polish, heuristic review, or launch-readiness audit across many dimensions →
web-design-guidelines - The main task is React hydration, rerender churn, or client-boundary performance behavior →
react-best-practices - The responsive strategy is already clear and the job is just implementation; in that case implement directly instead of re-running the router
What ships with it
5 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.
- 1mo ago First seen · 240 lines · 106 tokens per session scan A 14044f8eee92
responsive-design is a skill published in the GitHub repository Coinyak/onchainai (1 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 2,532 once invoked, about $0.0004 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 2026-08-31.
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