by johnseth97 · Codex Skill · ★ 268
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Full audit →
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 | 268 |
| Forks | 27 |
| Language | Lua |
| Category | Codex Skill |
| Quality Score | 72/100 |
| Open Issues | 12 |
| Last Updated | 2025-11-20 |
| Created | 2025-04-18 |
| Platforms | codex |
| Est. Tokens | ~7k |
Codex Neovim Plugin A Neovim plugin integrating the open-sourced Codex CLI () Latest version: Features: ✅ Toggle Codex window or side-panel with ✅ Optional keymap mapping via call ✅ Background running when window hidden ✅ Statusline integration via Installation: Install the CLI via npm, or mark autoinstall as true in the config function Grab an API key from OpenAI and set it in your environment...
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AI coding dream team of agents for VS Code. Claude Code + openai Codex collaborate in brainstorm mode, debate
Wraps any OpenAI API interface as Responses with MCPs support so it supports Codex. Adding any missing statefu
@ file mentions in neovim. for prompts, notes, commits.
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.
A set of tools that gives agents powerful capabilities.
OpenTelemetry Instrumentation for AI Observability
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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: