Borrowing it
Nothing to install: this file belongs to frankxai/awesome-design-agent-skills. 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/frankxai/awesome-design-agent-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/frankxai/awesome-design-agent-skillsWrote 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/instructions/frankxai/awesome-design-agent-skills/agents-md)<a href="https://agentmods.dev/instructions/frankxai/awesome-design-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-design-agent-skills/agents-md/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/instructions/frankxai/awesome-design-agent-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/frankxai/awesome-design-agent-skills/agents-md.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 | $0.00462 | $0.00462 |
| Opus 5.5 | $0.00185 | $0.00185 |
| Sonnet 5.5 | $0.00092 | $0.00092 |
| Haiku 4.5 | $0.00046 | $0.00046 |
Grade A, and why
awesome-design-agent-skills AGENTS.md 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 yesterday.
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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Instructions
This repo is the public design-agent discovery layer.
Scope
- Curate high-signal design skills, rubrics, examples, and rankings for AI coding/design agents.
- Own broad UI quality, anti-slop design, brand-system discovery, design audits, and before/after examples.
- Defer motion-specific rankings to
awesome-motion-design-agent-skills. - Defer owned brand doctrine to
starlight-design-intelligence.
Quality Bar
- Rank by demonstrated usefulness to shipped design quality, not by stars alone.
- Prefer resources that improve hierarchy, spacing, typography, density, accessibility, visual system coherence, and interaction polish.
- Avoid broad prompt dumps, generic inspiration lists, and resources with no visible output quality bar.
Safety
- Keep public-safe. Do not include private brand strategy, client work, credentials, or internal-only visual systems.
- Link to official sources and active repos when possible.
Verification
- Scan for broken links, stale dates, placeholders, and private paths before handoff.
Design Taste Kernel
For any site, app, landing page, dashboard, visual identity, brand, motion, media, social, or frontend task, apply the shared Design Taste Kernel before handoff:
- ../design-agent-standards/DESIGN_TASTE.md
- ../design-agent-standards/WEB_EXPERIENCE_STANDARD.md
- ../design-agent-standards/MOTION_TASTE_RUBRIC.md
- ../design-agent-standards/MULTI_AGENT_DESIGN_COUNCIL.md
- ../design-agent-standards/VISUAL_QA_GATE.md
When motion, scroll, generated media, GIF/video, or premium polish matters, route through the Motion Design Studio plugin/skills and verify the result visually.
Generated Asset Curation Gate
When adding or ranking resources for image generation, logo agents, motion agents, UI builders, or design QA, evaluate them with:
rubrics/premium-generation-gate.md../design-agent-standards/OUTCOMES.md../design-agent-standards/AGENTIC_DESIGN_LOOP.md
Prefer resources that create measurable loops: research, direction board, output inspection, scoring, iteration, and handoff evidence.
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.
- yesterday Changed · -103 tokens per session 34b30703e0db
- 2mo ago First seen · 49 lines · 565 tokens per session scan A 26a0f3bcc084
awesome-design-agent-skills AGENTS.md is an instructions file published in the GitHub repository frankxai/awesome-design-agent-skills (4 stars, last pushed 2d ago), licensed CC0-1.0. It adds 462 tokens to every session, about $0.0018 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 2026-09-01.
awesome-design-agent-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awesome-design-agent-skills AGENTS.mdfrankxai/awesome-design-agent-skills | Instructions file | 4 | 2d ago | CC0-1.0 | A | 462 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |