arcads-claude-code: Arcads external API: agent skills, prompting library, and Cursor/Claude workspace

by krusemediallc · Agent Tool · ★ 1.6k

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

How to install arcads-claude-code

git clone https://github.com/krusemediallc/arcads-claude-code.git

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

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. 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

Stars1,611
Forks390
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score58/100
Open Issues8
Last Updated2026-10-19
Created2026-04-01
Platformsclaude-code, python
Est. Tokens~19k

About arcads-claude-code

Arcads AI Video — Agent Skill Pack Create AI marketing videos and images using your Arcads account, powered by AI agents in Claude Code or Cursor. Supports the full Arcads creative stack — Seedance 2.0 (flagship video), Sora 2, Veo 3.1, Kling 3.0, Grok Video, Nano Banana 2 / Pro / Edit, ChatGPT Image 2, OmniHuman, and Audio-driven — plus a 37-template static Meta image-ad library and a pipeline...

Compatible Skills

These tools work well together with arcads-claude-code for enhanced workflows:

  • skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (54%)

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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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