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 Dragoon0x/everything-design-taste --skill card-sortinggit clone --depth 1 https://github.com/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/card-sorting)<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/card-sorting"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/card-sorting.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 | $0.00019 | $0.00270 |
| Opus 5 | $0.00010 | $0.00135 |
| Sonnet 5 | $0.00004 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
card-sorting 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
Card Sorting
Types
| Type | How | When |
|---|---|---|
| Open | Users group cards and name the groups | Discovering how users categorize |
| Closed | Users sort cards into pre-defined groups | Validating existing categories |
| Hybrid | Pre-defined groups + ability to create new ones | Validating + discovering |
Running a Card Sort
- Create cards (30-60 items, one concept per card)
- Recruit 15-30 participants
- In-person or online (tools: OptimalSort, Maze, UserZoom)
- Ask participants to group and label
- Analyze patterns
Analysis
- Similarity matrix: how often items were grouped together
- Dendrograms: hierarchical clustering visualization
- Category labels: what names participants chose
- Outliers: items nobody could categorize (rethink these)
Actionable Results
- Items frequently grouped together → same section/category
- Items placed in multiple groups → consider cross-referencing
- Groups with consistent labels → use those labels
- Ungroupable items → simplify, rename, or combine
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 · 34 lines · 19 tokens per session scan A dba6aa85e425
card-sorting is a skill published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 270 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 2026-09-03.
Other skills, from other repositories
seedance-vocab-en
This skill should be used when an English Seedance 2.0 prompt needs clearer production wording, less generic prose, or precise vocabulary for camera, lighting, motion, VFX, audio, and constraints. Route blocked prompts through seedance-filter for context and boundary review.
debloat
Compress an artifact that has accreted into bloat — padding, over-qualification, fused sentences, walls of enumeration, adjacent restatement — down to its load-bearing density, meaning preserved. Use when prose is correct and current but has grown verbose or patched-over and you want it tight without a full rewrite.
accessibility
Audit and improve web accessibility following WCAG 2.2 guidelines. Use when asked to "improve accessibility", "a11y audit", "WCAG compliance", "screen reader support", "keyboard navigation", or "make accessible".
figma-library-variables
Discover and import design tokens from SUBSCRIBED Figma team libraries into the current file. Use when the user wants to reuse tokens that live in a shared library: triggers 'list library variables', 'what tokens are in our shared library', 'import a variable from our design system library', 'pull in the brand color…
Accessibility Audit Helper
Reviews UI code and components for WCAG 2.1 accessibility violations and provides specific fixes.
sniff-fix
Scan the project and auto-fix safe issues (remove debugger statements, console.log calls, and other auto-fixable problems).