unslop-ui: Agent skill that cuts AI tells from interface and chart copy

by felipebasurto · Claude Skill · ★ 17

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

Security audit verdict: SAFE · quality 72/100

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.

agent-skillsai-slopclaude-codeclaude-skillscodexcursoruiux-writing

Quick Facts

Stars17
Forks2
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Last Updated2026-11-04
Created2026-10-27
Platformsclaude-code, codex, python
Est. Tokens~15k

About unslop-ui

Agent skill that cuts AI tells from interface and chart copy: eyebrow labels, 01/02/03 numbering, botsplaining captions, decorative badges and status dots.

Compatible Skills

These tools work well together with unslop-ui for enhanced workflows:

  • better-writing — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)

unslop-ui alternative? Top 6 similar tools

Looking for a unslop-ui alternative? If you're comparing unslop-ui with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • code-humanizer by LeonardNJU · ⭐ 71

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  • Agent_View_Controller-AVC by study8677 · ⭐ 69

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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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