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 opral · Codex Skill · ★ 291
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flashtype safe to install? View the security audit →
Flashtype The markdown editor for Claude & Codex Agents edit. You review the diff. Nothing lands without you. Download for macOS - Website - Lix - Discord Write Markdown With Agents In The Loop Flashtype is a WYSIWYG markdown editor with Claude Code and Codex built in. Point it at a folder, open the files you already have, and run coding agents against the same files from a real terminal beside your document. When an agent edits, Flashtype shows the change as an inline diff with word-level precision. Accept or reject each change before it lands, browse document history, and restore earlier versions when you need to. Features Built on the Lix SDK, an embedd
| Stars | 291 |
| Forks | 29 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.7897961177894/100 |
| Open Issues | 20 |
| Last Updated | 2026-09-26 |
| Created | 2025-03-06 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~14k |
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flashtype is The markdown editor for Claude & Codex. It is categorized as a Codex Skill with 291 GitHub stars.
flashtype is primarily written in TypeScript. It covers topics such as claude-code, codex, markdown.
You can find installation instructions and usage details in the flashtype GitHub repository at github.com/opral/flashtype. The project has 291 stars and 29 forks, indicating an active community.
flashtype is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to flashtype on Agent Skills Hub include claude-codex-settings, codexia, memorix. 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: