by techartdev · Codex Skill · ★ 525
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 | 525 |
| Forks | 63 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-23 |
| Created | 2026-01-27 |
| Platforms | cli |
| Est. Tokens | ~11k |
OpenClaw Assistant – Home Assistant App/Add-on Join our Discord Server! OpenClaw Home Assistant integration is available now! https://github.com/techartdev/OpenClawHomeAssistantIntegration This repository contains a Home Assistant add-on that runs OpenClaw inside Home Assistant OS (HAOS). Upstream rename history (FYI): clawdbot → moltbot → openclaw (final).
These tools work well together with OpenClawHomeAssistant for enhanced workflows:
Looking for a OpenClawHomeAssistant alternative? If you're comparing OpenClawHomeAssistant 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.
An open-source AI assistant framework with skills and agent architecture
YouTube Transcript API skills for AI agents. Get transcripts, search videos, browse channels. Works with OpenC
A complete security skill suite for OpenClaw, Hermes, PicoClaw and NanoClaw agents (and variants). Protect you
飞书插件 × OpenClaw 保姆级配置指南 & 社区支持 (0328 - 更新飞书cli调用指南,增加 API 耗尽根因排查、Lark Webhook 内网穿透方案)
Run AI agents on your Android phone — no terminal, no CLI, just a guided setup.
terminally online
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: