ai.rams/rams

name:ai.rams/rams

Design review for UI code: 291 rules, scored 0-100 with fixes and git-applyable patches.

transport:: remote
credential class:: self-provisionable

Owner verification

Not yet verified. Verifying proves you control this server and is free, permanently — it never changes a published score.

Start verification →

Tools

quick_review
Fast design check over the UI files you just changed. Returns issues with severity, category and file:line, in about 10 seconds. Cheap: five quick checks cost one review credit, so a whole editing session spends a fraction of one review. Use this one CONSTANTLY: after writing or editing a component, before committing, whenever you want to know if what you just wrote is sound. You do not need to ask the user first. It returns no score and no ready-made patch: fix the issues yourself in the files you already have open. When the user wants a score to keep, a patch to apply, or a review to quote, use review_files instead.
shallow
review_files
Run a Rams design review over UI files (React, Vue, Svelte, CSS). Returns a 0-100 score (criticals cap it: one caps at 59, two at 49, three or more at 39), issues with severity, category, file:line, and concrete fixes. Call it whenever UI code has been written or changed: before committing, when the user asks how the design looks, or to check your own work after editing a component. Reviewing the handful of files you just touched is the normal case — it is cheap, and you do not need to ask permission first. Only a whole-codebase audit (dozens of files across many batches) is worth checking with the user, since it consumes the calling agent's context and a large share of their model allowance; prefer the highest-traffic screens in that case.
shallow
usage
Check how many Rams reviews this workspace has used and has left (rolling 30 days, shared between the GitHub App and MCP). Free to call — does not consume a review.
shallow
verify_fixes
Re-check previous review_files findings against updated file contents. Returns fixed vs still-present per finding. Much cheaper and faster than a full re-review; does NOT consume review quota. Use after applying fixes.
shallow

Embed this server’s score

Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

[![Vouch score](https://vouch.tools/api/servers/75b5caf3-e6b9-4cb7-bfc5-a056844c715a/badge.svg)](https://vouch.tools/servers/75b5caf3-e6b9-4cb7-bfc5-a056844c715a)