by Ghqqqq · Codex Skill · ★ 102
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Ghqqqq/codex-overleaf-link.gitTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 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 | 102 |
| Forks | 7 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71/100 |
| Last Updated | 2026-10-29 |
| Created | 2026-05-01 |
| Platforms | browser, cli, codex, node |
| Est. Tokens | ~19k |
Codex Overleaf Link Empower Overleaf with Codex. Why Overleaf is great for collaborative LaTeX writing. Codex is great for AI-assisted editing. But switching between them breaks flow — you lose Overleaf's real-time collaboration, or you lose Codex's local intelligence.
Looking for a codex-overleaf-link alternative? If you're comparing codex-overleaf-link with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A local-first, agent-first LaTeX writing app for macOS: live PDF, annotations, papers and Overleaf sync
Overleaf CLI - pull, push, sync, compile LaTeX projects from your terminal. Git remote helper, MCP server for
AI-powered annotations for localhost development. Create visual feedback on your apps and let AI coding agents
Claude Skill to do your tasks with subagents in Git worktrees
Model Context Protocol (MCP) server that lets AI assistants read Overleaf projects, parse LaTeX document struc
Curated skills, profiles, and config templates that supercharge Codex CLI — multi-model, deep research, image
Explore other popular codex skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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: