by AlexAnsart · Agent Tool · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 5 |
| Forks | 1 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-26 |
| Created | 2026-07-25 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~17k |
Agent skills that turn any web app into a polished, narrated demo video — Playwright capture, smart zooms, ElevenLabs voiceover, Whisper sync and burned captions.
Looking for a demo-studio alternative? If you're comparing demo-studio with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Record your screen, narrate the bug, and hand your AI coding agent structured Markdown - one annotated screens
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Open-source agent-agnostic YouTube growth toolkit — 21 AI commands + live channel MCP. Works with Claude Code,
Advanced Claude Code CLI toolkit - agents, hooks, skills, MCP servers, phased development, site intelligence d
Automated loop driver, slash commands, council automation, MCP browser bridge, and portfolio governance for Cl
Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; be
Explore other popular agent tool tools:
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: