unslop: A Claude skill that turns vibecoded, AI-looking UI into a designed interface

by heydamir · Claude Skill · ★ 7.2k

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

How to install unslop

git clone https://github.com/heydamir/unslop

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

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. Full audit →

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.

Quick Facts

Stars7,186
Forks363
LanguageJavaScript
CategoryClaude Skill
LicenseCC-BY-4.0
Quality Score61/100
Open Issues1
Last Updated2026-11-01
Created2026-10-29
Platformsclaude-code, node
Est. Tokens~13k

About unslop

unslop Created by Damir Sokolovsky (@heydamir), who started the Unslopping series on X. unslop is a skill for Claude that turns vibecoded, AI-looking UI into a designed interface with its own character.

Compatible Skills

These tools work well together with unslop for enhanced workflows:

  • ux-ui-agent-skills — semantic(0.11)+shared_fw(nextjs,react,vue)+same_lang+similar_pop+shared_platform (59%)
  • explore-claude-code — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • scroll-world — semantic(0.13)+shared_fw(nextjs,vue)+same_lang+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse Claude Skill tools