infocard-skills: Open-source agent skills for generating editorial-style information cards from natural-language input

by shaom · Agent Tool · ★ 517

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

Security audit verdict: SAFE · quality 67/100

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.

agent-skillseditorial-designinfocard

Quick Facts

Stars517
Forks37
LanguageHTML
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Last Updated2026-06-13
Created2026-03-08
Est. Tokens~16k

About infocard-skills

中文 infocard-skills Open-source agent skills for generating editorial-style information cards from natural-language input. is a small repository of installable skill packages for agents. The current package, , turns source material into screenshot-ready HTML cards and optional PNG outputs.

Compatible Skills

These tools work well together with infocard-skills for enhanced workflows:

  • golang-skills — semantic(0.20)+complementary+same_lang+similar_pop (52%)
  • apple-bento-grid — semantic(0.21)+complementary+same_lang+similar_pop (47%)
  • design-system-ops — semantic(0.19)+complementary+same_lang+similar_pop (47%)
  • slide-creator — semantic(0.16)+complementary+same_lang+similar_pop (46%)

infocard-skills alternative? Top 6 similar tools

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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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