ai-workspace-hub — not yet audited

by Benboerba620 · Codex Skill · ★ 58

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About ai-workspace-hub

All-in-one AI 研究工作台:把 Codex / Claude Code / Cursor 变成有长期记忆的研究系统。wiki 摄入、研究闭环、快速筛选、假设追踪、播客、日报六大能力,零 API key 可跑基座。

ai-agentai-workflowclaudeclaude-codecodexinvestment-researchknowledge-basemarkdownobsidianpersonal-wiki

Quick Facts

Stars58
Forks13
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score56.8118739672747/100
Open Issues1
Last Updated2026-08-18
Created2026-06-07
Platformsclaude-code, codex, python
Est. Tokens~13k

Compatible Skills

These tools work well together with ai-workspace-hub for enhanced workflows:

  • LLM-Wiki — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)

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Frequently Asked Questions

What is ai-workspace-hub?

ai-workspace-hub is All-in-one AI 研究工作台:把 Codex / Claude Code / Cursor 变成有长期记忆的研究系统。wiki 摄入、研究闭环、快速筛选、假设追踪、播客、日报六大能力,零 API key 可跑基座。. It is categorized as a Codex Skill with 58 GitHub stars.

What programming language is ai-workspace-hub written in?

ai-workspace-hub is primarily written in Python. It covers topics such as ai-agent, ai-workflow, claude.

How do I install or use ai-workspace-hub?

You can find installation instructions and usage details in the ai-workspace-hub GitHub repository at github.com/Benboerba620/ai-workspace-hub. The project has 58 stars and 13 forks, indicating an active community.

What license does ai-workspace-hub use?

ai-workspace-hub is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ai-workspace-hub?

The top alternatives to ai-workspace-hub on Agent Skills Hub include obsidian-plugin-skill, deepcontext-mcp, Mira. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools