No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by brycewang-stanford · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-Journal-Skills safe to install? View the security audit →
Awesome Journal Skills (AJS) English | 简体中文 Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 1984 个 Agent Skill,横跨经管社科 · 人文社科 · 自然科学 · 临床医学 · AI 计算机等多个主流学科,凝结为 122 个精选期刊/会议 Pack——
| Stars | 1,109 |
| Forks | 147 |
| Language | Stata |
| Category | MCP Server |
| License | MIT |
| Quality Score | 54.8726590366424/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-14 |
| Created | 2026-05-25 |
| Platforms | claude-code, codex, mcp |
| Est. Tokens | ~28k |
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Awesome-Journal-Skills is Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从. It is categorized as a MCP Server with 1.1k GitHub stars.
Awesome-Journal-Skills is primarily written in Stata. It covers topics such as academic-research, academic-writing, agent-skills.
You can find installation instructions and usage details in the Awesome-Journal-Skills GitHub repository at github.com/brycewang-stanford/Awesome-Journal-Skills. The project has 1.1k stars and 147 forks, indicating an active community.
Awesome-Journal-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-Journal-Skills on Agent Skills Hub include claude-code-plugins-plus-skills, Claude-Code-Everything-You-Need-to-Know, everything-claude-code-zh. 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: