by sanskarprajapati · Claude Skill · ★ 1
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 | 1 |
| Forks | 0 |
| Language | HTML |
| Category | Claude Skill |
| Quality Score | 63/100 |
| Last Updated | 2026-11-01 |
| Created | 2026-10-31 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
Cinematic one-camera history documentaries for Claude Code: layered 2.5D plates, no hard cuts, typed text with one red word, a worn film look.
Looking for a parallax-doc alternative? If you're comparing parallax-doc 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.
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Auto-review and iterate until quality work is delivered - a better alternative to ralph-claude-code. Switch be
Claude Code skills plugin for Git, GitHub, and skill authoring workflows
Agent Skills and a Claude Code plugin for building, testing, and shipping voice agents with LiveKit
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
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: