by KyrieCheungYep · Claude Skill · ★ 120
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
A Codex / Claude Code skill for rebuilding visually complex documents into page-aligned Markdown.
| Stars | 120 |
| Forks | 15 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 48.6445355213528/100 |
| Last Updated | 2026-07-11 |
| Created | 2026-07-03 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~4k |
These tools work well together with ky-markdown-rebuilder for enhanced workflows:
Looking for a ky-markdown-rebuilder alternative? If you're comparing ky-markdown-rebuilder with other claude skill tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho
Report issues related to MCP integration with Claude here.
A tool for autonomous agents like OpenClaw to discover and learn skills autonomously
Explore other popular claude skill tools:
ky-markdown-rebuilder is A Codex / Claude Code skill for rebuilding visually complex documents into page-aligned Markdown.. It is categorized as a Claude Skill with 120 GitHub stars.
ky-markdown-rebuilder is primarily written in Python.
You can find installation instructions and usage details in the ky-markdown-rebuilder GitHub repository at github.com/KyrieCheungYep/ky-markdown-rebuilder. The project has 120 stars and 15 forks, indicating an active community.
The top alternatives to ky-markdown-rebuilder on Agent Skills Hub include life-sciences, claude-ai-mcp, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: