No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pakco77 · Agent Tool · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pakco-html safe to install? View the security audit →
pakco.html · Visual taste menu for AI agents English · 中文说明 → Stop describing taste. Pick it. A local-first visual menu for AI agents — browse 60+ real previews, click a card, get an executable prompt. Paste it into Claude Code / Codex / Hermes / WorkBuddy / TRAE Work and the agent generates the deck following the visual constraints you picked. ▶ Quick start Codex In Codex, ask: Or install from a terminal: Restart Codex after installation so it reloads the skill list. Claude Code / AgentSkill CLI WorkBuddy bash curl -fsSL https://raw.githubusercontent.com/pakco77/pakco-html/refs/heads/main/scripts/install-agent.sh | bash -s -- workbuddy #
| Stars | 71 |
| Forks | 7 |
| Language | HTML |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 53.2249774950769/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-13 |
| Created | 2026-05-29 |
| Platforms | browser |
| Est. Tokens | ~15k |
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pakco-html is 60+ 风格 · 演示 & 纵向页面 · taste / 图文 · 一键复制 Prompt. It is categorized as a Agent Tool with 71 GitHub stars.
pakco-html is primarily written in HTML. It covers topics such as agent-skill, deck, html-ppt.
You can find installation instructions and usage details in the pakco-html GitHub repository at github.com/pakco77/pakco-html. The project has 71 stars and 7 forks, indicating an active community.
pakco-html is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pakco-html on Agent Skills Hub include deck-factory, beamer-academic, Mck-ppt-design-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: