by iart-ai · Claude Skill · ★ 18
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Video Editing & Remotion Skills
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.
| Stars | 18 |
| Forks | 5 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-11-11 |
| Created | 2026-06-22 |
| Platforms | claude-code, codex |
| Est. Tokens | ~16k |
Data video / animated infographic skills for Claude Code — turn a CSV into a chart that moves, with exact, accurate numbers on every frame.
Looking for a data-animation-skills alternative? If you're comparing data-animation-skills 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.
Best Practices for Claude Code Configuration
Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT
Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; be
Comprehensive guide for writing professional Claude Standard prompts with MCP, Skills, and Superpowers integra
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Local citation-backed recall for Pi, OMP, Claude Code, Codex, and ChatGPT history.
Explore other popular claude skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: