Borrowing it
Nothing to install: this file belongs to Aboudjem/ui-ux-suite. 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/Aboudjem/ui-ux-suite/main/AGENTS.mdgit clone --depth 1 https://github.com/Aboudjem/ui-ux-suiteWrote 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/aboudjem/ui-ux-suite/agents-md)<a href="https://agentmods.dev/instructions/aboudjem/ui-ux-suite/agents-md"><img src="https://agentmods.dev/badge/instructions/aboudjem/ui-ux-suite/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/aboudjem/ui-ux-suite/agents-md"><img src="https://agentmods.dev/badge/instructions/aboudjem/ui-ux-suite/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 | $0.01540 | $0.01540 |
| Opus 5.5 | $0.00616 | $0.00616 |
| Sonnet 5.5 | $0.00308 | $0.00308 |
| Haiku 4.5 | $0.00154 | $0.00154 |
Grade A, and why
ui-ux-suite 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 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md: ui-ux-suite
Guidance for AI coding agents working with or invoking this repo. Companion to README.md (which is for humans). This file follows the AGENTS.md convention: standard Markdown, no required fields.
What this tool is
ui-ux-suite is a zero-dependency design linter. It audits a project's CSS, JSX, HTML, and
Tailwind config and returns findings that are located (file:line + selector),
measured (the real wrong value), and fixed (a concrete before → after), across
12 design dimensions grounded in WCAG 2.2, APCA contrast, and the Laws of UX. It is
audit-then-suggest: every run is read-only and never edits the audited project.
How an AI agent should invoke it
Preferred: the MCP tool uiux_audit_run
The MCP server runs over stdio with zero dependencies. Start it with npx ui-ux-suite --mcp,
then call the uiux_audit_run tool. Arguments:
projectPath(string, defaultcwd): the directory to audit.dimensions(string[], optional): scope to specific dimensions; omit for all 12.depth("quick"|"deep", default"quick"):"deep"needs abaseUrland the optional peer deps; otherwise use"quick"(static, no browser).baseUrl(string, optional): running app URL for deep mode.format("full"|"summary"|"json", default"full").
The result includes scoreCard.overall, scoreCard.grade, scoreCard.dimensions[], and
scoreCard.topFindings[]. Each finding carries
evidence: { file, line, col, selector, measured, threshold }, a fix, before/after,
and a citation (wcag: [] success criteria and/or laws: [] slugs).
When insufficientEvidence is true, overall/grade are null and there are no
findings; report that the project lacked enough evidence rather than inventing a score.
Other useful tools: uiux_scan_project (stack detection), uiux_check_contrast (WCAG +
APCA for a color pair), uiux_extract_colors / uiux_extract_typography /
uiux_extract_spacing (values with file/line/selector), uiux_score_dimension,
uiux_score_overall, uiux_laws_query, uiux_knowledge_query.
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 Changed · +10 lines · +216 tokens per session 83855c211a84
- 1mo ago First seen · 109 lines · 1,324 tokens per session scan A bc2a9fc05d41
ui-ux-suite AGENTS.md is an instructions file published in the GitHub repository Aboudjem/ui-ux-suite (7 stars, last pushed 1mo ago), licensed MIT. It adds 1,540 tokens to every session, about $0.0062 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.