by bytefer · Codex Skill · ★ 5
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 | 5 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56/100 |
| Last Updated | 2026-07-01 |
| Created | 2026-07-01 |
| Platforms | browser, cli, codex, gemini, python |
| Est. Tokens | ~13k |
GEO-first SEO toolkit for Codex. Audit websites for AI search visibility across ChatGPT, Perplexity, Gemini, Google AI Overviews, and Bing Copilot with Codex skills, agents, crawler checks, citability scoring, schema analysis, llms.txt generation, and client-ready reports.
These tools work well together with geo-seo-codex for enhanced workflows:
Looking for a geo-seo-codex alternative? If you're comparing geo-seo-codex 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.
Open-source marketing skills for founders. Keyword research, growth strategy, social search audit, competitor
Production-ready AI agent profiles for Claude Code, Cursor, Codex, OpenClaw, and Hermes. Search, install, and
An AI agent that applies to jobs for you. It finds openings, tailors your resume, and fills out applications i
AI-powered LinkedIn content generator with text, image & carousel posts. Features smart AI research, content c
Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors
A light-weight and straightforward workflow for spec-driven development with Claude Code and Codex. Written in
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: