by djblack1209-coder · 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 | Apache-2.0 |
| Quality Score | 56/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-01 |
| Created | 2026-03-27 |
| Platforms | python |
| Est. Tokens | ~14k |
OpenEverything — Personal AI automation with Telegram, a Tauri console, and traceable model budgets. Python/FastAPI + React/Rust.
Looking for a OpenClaw-Bot alternative? If you're comparing OpenClaw-Bot 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.
Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolat
Self-hosted AI assistant built on DeepAgents, LangChain and LangGraph: Telegram chat, scheduled tasks, MCP int
Local AI API gateway for OpenAI / Gemini / Anthropic. Runs on your machine, keeps tokens counted (SQLite), off
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
The first SSH client built for AI agents. Let Claude Code, Codex, and other CLI agents manage your servers thr
Automated loop driver, slash commands, council automation, MCP browser bridge, and portfolio governance for Cl
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: