by titanwings · Codex Skill · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
致你忘不掉的那个TA,你们干大模型都是码圣 It's giving rebirth era. Welcome to Digital Life 1.0. 🫶
| Stars | 1,049 |
| Forks | 97 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58.9755152184651/100 |
| Open Issues | 18 |
| Last Updated | 2026-08-13 |
| Created | 2026-03-31 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
These tools work well together with ex-skill for enhanced workflows:
Looking for a ex-skill alternative? If you're comparing ex-skill 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 desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and cus
🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without na
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown a
Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. W
Postiz Agents CLI - connect it to Claude / OpenClaw / etc, to schedule social media posts 🤖
Explore other popular codex skill tools:
ex-skill is 致你忘不掉的那个TA,你们干大模型都是码圣 It's giving rebirth era. Welcome to Digital Life 1.0. 🫶. It is categorized as a Codex Skill with 1.0k GitHub stars.
ex-skill is primarily written in Python. It covers topics such as agent-skills, ai-agent, claude-code.
You can find installation instructions and usage details in the ex-skill GitHub repository at github.com/titanwings/ex-skill. The project has 1.0k stars and 97 forks, indicating an active community.
ex-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ex-skill on Agent Skills Hub include wesight, modsearch, memsearch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: