No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by libnyx · Codex Skill · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LT2MD safe to install? View the security audit →
English | 简体中文 LT2MD 📄➡️📝 Turn PDFs — long ones, scanned ones, formula- and figure-heavy ones — into reliable Markdown, with every paragraph labeled with the PDF page it came from. It can also repair a Markdown file you converted before. View on GitHub LT2MD is a skill for AI agents. It does two things. It converts a PDF into Markdown you can reuse and trace back to the source page. And it takes a Markdown file you already converted, but do not fully trust, and checks it against the PDF page by page, re-recognizing anything misread, missing, or out of order. Long documents are not a problem. Instead of reading everything in one pass, it works in small batches, saves each batch, and has an independent pass check it, so even a few-hundred-page PDF comes out complete and consistent. Figures are not left behind either. The information in flowcharts, diagrams, and charts is read and written as text right next to the caption. No matter how many times that Markdown is read later, the images never have to be sent to a model again. Even a small text-only model is enough. What it does The information in flowcharts, diagrams, and charts is written as text next to the caption;
| Stars | 110 |
| Forks | 6 |
| Language | Python |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 64.5963969085832/100 |
| Last Updated | 2026-08-23 |
| Created | 2026-08-14 |
| Platforms | codex, python |
| Est. Tokens | ~16k |
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LT2MD is AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text beside each caption instead of empty links. It checks an earlier conversion against the PDF an. It is categorized as a Codex Skill with 110 GitHub stars.
LT2MD is primarily written in Python. It covers topics such as agent-skills, ai-agents, codex.
You can find installation instructions and usage details in the LT2MD GitHub repository at github.com/libnyx/LT2MD. The project has 110 stars and 6 forks, indicating an active community.
LT2MD is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to LT2MD on Agent Skills Hub include MinerU-Skill, pdfmux, pullmd. 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: