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 skeletorflet/opencode-supreme-setup --skill design-briefgit clone --depth 1 https://github.com/skeletorflet/opencode-supreme-setupWrote 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/skeletorflet/opencode-supreme-setup/design-brief)<a href="https://agentmods.dev/skills/skeletorflet/opencode-supreme-setup/design-brief"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/design-brief.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 5.1 | $0.00076 | $0.03443 |
| Opus 5 | $0.00038 | $0.01722 |
| Sonnet 5 | $0.00015 | $0.00689 |
| Haiku 4.5 | $0.00008 | $0.00344 |
Grade A, and why
design-brief 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 8d 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.
This is a copy
91% identical to design-brief — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design Brief Skill
Parse a structured design brief into a concrete DESIGN.md and optional visual preview. Agent, follow this workflow exactly.
Background
The 8 dimensions in this skill are derived from analysis of the 71 design systems bundled with Open Design. Every DESIGN.md in design-systems/ resolves at minimum: color palette, accent, typography, display font, layout model, and component style. We distilled these into 8 orthogonal dimensions that cover the decisions a designer makes before any pixel is placed. Mood and density were added because they are the two most common sources of ambiguity in natural language briefs ("make it clean" means different things to different people).
Dimensions intentionally excluded from the brief level: animation timing, responsive strategy, and accessibility contrast. These are enforced at the template level by individual skills (e.g., saas-landing handles its own responsive logic), though the generated DESIGN.md includes sensible breakpoint defaults for downstream consumption.
1. Accept input
The user provides a design brief in one of two formats:
Option A: I-Lang structured brief
[PLAN:@DESIGN|type=saas_landing]
|palette=navy_and_white|accent=coral
|typography=inter|display=space_grotesk
|layout=single_column|max_width=1200px
|mood=professional_minimal
|density=spacious|section_gap=96px
|hero=headline+subhead+cta
|sections=features,pricing,testimonials,footer
|exclude=animations,parallax,gradients
|responsive=mobile_first
Option B: Natural language
"I need a landing page for a developer tool. Clean, minimal, dark mode. Inter font. No flashy animations."
If the user provides Option B, convert it to the structured format using the mapping table below, then proceed. Identify every dimension explicitly stated and flag dimensions that were left unspecified.
Natural language → I-Lang mapping
For each sentence in the natural language input, identify dimension keywords and map to the closest structured value:
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.
- 8d ago First seen · 253 lines · 76 tokens per session scan A ddcb70ae1ba4
design-brief is a skill published in the GitHub repository skeletorflet/opencode-supreme-setup (47 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 3,443 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to design-brief, differing in 11 lines, and is treated as a copy.
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