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 1943time · Agent Tool · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is inkdown safe to install? View the security audit →
Inkdown Inkdown Editor is a WYSIWYG editor and an LLM dialogue tool, fully compatible with GitHub Flavored Markdown Spec. ⚠️ Project Status: Development Paused This project is currently paused and no longer actively maintained. Vs code
| Stars | 1,184 |
| Forks | 61 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 47.8457304876166/100 |
| Open Issues | 33 |
| Last Updated | 2025-12-19 |
| Created | 2023-06-27 |
| Platforms | node |
| Est. Tokens | ~2266k |
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inkdown is Inkdown is a WYSIWYG editor and an LLM dialogue tool, fully compatible with GitHub Flavored Markdown Spec.. It is categorized as a Agent Tool with 1.2k GitHub stars.
inkdown is primarily written in TypeScript. It covers topics such as chatbot, docs-generator, electron.
You can find installation instructions and usage details in the inkdown GitHub repository at github.com/1943time/inkdown. The project has 1.2k stars and 61 forks, indicating an active community.
inkdown is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to inkdown on Agent Skills Hub include rocketnotes, casibase, gptme. 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: