rams

rams is a skill for Claude Code, Codex from brianlovin/agent-config. It costs 25 tokens per session (836 once invoked), scanned A, original, no licence file.

An accessibility and visual-design review for user-interface components. WCAG is a set of guidelines for making websites usable by people with disabilities.

In plain words
What is it for?
Use it to review components for WCAG issues and visual design defects.
Why use it?
It helps find accessibility barriers and design problems in UI code before they affect users.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to review components for WCAG issues and visual design defects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brianlovin/agent-config/rams
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 brianlovin/agent-config --skill rams
Clone the repo
git clone --depth 1 https://github.com/brianlovin/agent-config

Made for: Claude Code, Codex.

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 rams

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/brianlovin/agent-config/rams"><img src="https://agentmods.dev/badge/skills/brianlovin/agent-config/rams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 836 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. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
How audits are shown
Origin unknown 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 $0.00025 $0.00836
Opus 5.5 $0.00010 $0.00334
Sonnet 5.5 $0.00005 $0.00167
Haiku 4.5 $0.00003 $0.00084

Measured 2mo ago against content hash 32283f528a52, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rams 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 2mo 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.

skills/rams/SKILL.md · 106 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2mo ago First seen · 106 lines · 25 tokens per session scan A 32283f528a52

Subscribe to this mod's changes

rams is a skill published in the GitHub repository brianlovin/agent-config (380 stars, last pushed 7mo ago), with no licence file. It adds 25 tokens to every session and 836 once invoked, about $0.0001 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 2026-08-30.

Related

Other skills, from other repositories

scientific-schematics

Generates scientific diagram drafts using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.7 Flash for quality review. Refines when the review requests improvement, with at most two generations. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex…

K-Dense-AI/scientific-agent-skills · 68 tokens

html-artifacts

Author the HTML for a plan artifact, dashboard iframe, or Slack attachment — structure, design plan, available runtime, theming, and craft. Read this before writing HTML for publishartifact, outputiframe, or slackattachhtml.

langchain-ai/open-swe · 52 tokens

goose-graphics-create-style

End-to-end skill that turns a single reference image into a published Gooseworks style — analyzes the image, drafts the slim style spec, renders a hero example plus 2-3 additional formats via Playwright, writes the gooseworks-style.json manifest, and publishes via npx gooseworks styles publish so other agents can…

gooseworks-ai/goose-skills · 88 tokens

goose-graphics

Portable visual skill pack for the Agent Skills ecosystem (Claude Code, Claude Desktop, Claude Cowork, Claude Design, Goose, Cursor, Codex). Discovers community-published styles + formats via the gooseworks CLI, runs an extract-style workflow on reference images, and exports rendered PNGs via Playwright.

gooseworks-ai/goose-skills · 67 tokens

create-chatgpt-mockup

Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles (model-tag, plain title, "Get Plus"). Fixed…

gooseworks-ai/goose-skills · 90 tokens

create-imessage-mockup

Render pixel-accurate iMessage screenshot mockups (DM or group) from a thread JSON. Supports minimal, with-keyboard, and full iPhone 15 Pro frame variants. Outputs HTML + PNG.

gooseworks-ai/goose-skills · 49 tokens