renderlint: Lint the rendered UI: catches overflowing text, low contrast, overlaps, broken responsive layouts, emoji icons

by ngocanhnckh · Agent Tool · ★ 134

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install renderlint

npx -y @ngocanhnckh/renderlint init   # one-time setup: installs it, adds config, build gate, agent instructions, Claude Code hook
npx renderlint                        # check: exits 1 if any error is found

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

accessibilityai-agentsclaude-codecontrastfrontendlinterplaywrightresponsive-designuivisual-testing

Quick Facts

Stars134
Forks23
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score64/100
Last Updated2026-11-04
Created2026-10-25
Platformsbrowser, claude-code, node
Est. Tokens~20k

About renderlint

renderlint A linter for the rendered UI. It opens your app in a real browser, finds the visual defects coding agents ship, and fails the build until they're fixed. = 18.17" Six times text didn't fit its box, each one renderlint's own annotated screenshot: from example pages, from apps Claude built in headless sessions, and from an Elementor page. More in the gallery.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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