slideblocks-skill: SlideBlocks agent skill for creating and improving Slidev presentations

by UniUni2000 · Agent Tool · ★ 81

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

How to install slideblocks-skill

npx skills add UniUni2000/slideblocks-skill

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 58/100

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.

Quick Facts

Stars81
Forks3
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score58/100
Last Updated2026-10-30
Created2026-09-06
Platformsnode
Est. Tokens~13k

About slideblocks-skill

SlideBlocks Skill Make polished presentations fast, in an AI-native format. Try native HTML for your next presentation. Give your agent your materials and requirements, and let the SlideBlocks skill build the deck.

Compatible Skills

These tools work well together with slideblocks-skill for enhanced workflows:

  • remotion-ads — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (63%)
  • logo-designer-skill — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)

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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 Agent Tool tools