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award-design

award-design is a skill for Claude Code from coroboros/agent-skills. It costs 87 tokens per session (4,910 once invoked), scanned A, original, MIT.

A frontend design and development guide for creating distinctive, highly polished websites, starting with a written visual direction in DESIGN.md. It covers the design and implementation of the frontend.

In plain words
What is it for?
Use it to lead the design and coding of a website intended for strong visual presentation, including its visual system, assets, animations, and frontend implementation.
Why use it?
It helps avoid generic layouts and gives the build a consistent visual direction, motion style, and asset treatment.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents.

Part of the design-skills plugin — 3 skills shipped together

not rated 4repo changed 2d ago A scan 87 tokens original MIT

Good fit Use it to lead the design and coding of a website intended for strong visual presentation, including its visual system, assets, animations, and frontend implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coroboros/agent-skills/award-design
View source ↗ coroboros/agent-skills coroboros.com
Install

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.

Any agent
npx skills add coroboros/agent-skills --skill award-design
Clone the repo
git clone --depth 1 https://github.com/coroboros/agent-skills

Made for: Claude Code.

Or install design-skills, the plugin that ships this one along with the rest of its 3 skills.

Wrote 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.

agentmods badge for award-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/coroboros/agent-skills/award-design/github.svg)](https://agentmods.dev/skills/coroboros/agent-skills/award-design)
Your own site
<a href="https://agentmods.dev/skills/coroboros/agent-skills/award-design"><img src="https://agentmods.dev/badge/skills/coroboros/agent-skills/award-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.

agentmods 80×15 button for award-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/coroboros/agent-skills/award-design"><img src="https://agentmods.dev/badge/skills/coroboros/agent-skills/award-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,910 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.04910
Opus 5 $0.00044 $0.02455
Sonnet 5 $0.00017 $0.00982
Haiku 4.5 $0.00009 $0.00491

Measured 2d ago against content hash 07ba08671aef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

award-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 2d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (assets/detector.js, assets/pixel-metrics.js, assets/render-floor.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/award-design/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Award Design

Critical — Adversarial verification

Verify consequential findings and decisions before acting on them.

  • Seek counterexamples and independent evidence for load-bearing or contested claims. Use fresh reviewers when available and useful; label sequential self-review as less independent.
  • Resolve material findings by correction, evidence-backed refutation, or an explicit remaining risk. Never silently drop them.
  • Evidence decides, not reviewer counts or confidence alone. One reproducible defect can invalidate a conclusion.
  • Scale verification to the stakes. Keep settled facts settled and reversible, low-impact checks light.

Important — Engineering discipline

Apply these rules when writing, editing, or proposing code.

  • Solve the accepted problem with the smallest complete change. Reuse existing mechanisms; preserve unrelated work. Validate external inputs and real failure states.
  • Read the affected implementation, callers, and shared utilities before editing. Ground code claims in inspected evidence.
  • Implement the general behavior. Tests must distinguish correct behavior from the defect; never hard-code to fixtures or preserve a demonstrably wrong test.
  • Carry scope, corrections, and existing authorization through handoffs. Run applicable required checks; repeat them only for changed behavior or unresolved failures.

Critical — Label hygiene

Remove private planning labels and process narration from shipped code and prose. State the domain behavior directly.

  • Planning labels — replace WS-N, Phase-A, Step-3, and private plan names with domain terms.
  • Process narration — remove authoring history and references that require private planning context. Explain the resulting behavior or constraint.

Read the full file on GitHub · 146 lines

Files

What ships with it

60 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.

Changes

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.

  1. 2d ago Changed · -11 lines · -96 tokens per session 07ba08671aef
  2. 7d ago Changed · -14 lines · +34 tokens per session d5c70442092d
  3. 10d ago First seen · 171 lines · 149 tokens per session scan A 268ba01c69ad

Subscribe to this mod's changes

award-design is a skill published in the GitHub repository coroboros/agent-skills (4 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 4,910 once invoked, about $0.0004 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.

Claude CodeDesign and UXFrontendagent-skillsai-agentsanthropicautomationclaude
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