DSH Plugins技能

Awesome-Journal-Skills

brycewang-stanford/Awesome-Journal-Skills

Awesome-Journal-Skills is a tool for DeepSeek Harness. Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, Management World, Economic Research Journal & 200+ more — your fast track to getting published. ｜ Claude Code/Codex journal skill packs covering mainstream journals, from topic selection and identification strategy to table formatting and reviewer responses—the full workflow helps you publish papers quickly.

查看仓库项目主页

brycewang-stanford/Awesome-Journal-Skills Screenshot preview

Stars: 1.1k
Forks: 146
Issues: 0
Update: 20 days

REVIEW SCORECARD

评测成绩单

8.6/10Excellent

detail.dimSecurity9.0

detail.dimQuality8.9

detail.dimContent8.0

detail.dimDeps7.0

detail.dimMaintenance9.0

✓ 无Risky检出 · 自动化扫描结果仅供参考，非官方背书

AI DEEP REVIEW

AI 深度评测

7.0/10Consider

Broad, actively maintained journal skill-pack collection with strong coverage, but install steps and engineering rigor r

Code quality7

README shows a structured multi-directory layout with a machine-readable venue index and showcase evidence, but no tests or CI are visible and the install command is unknown.

Security6

No download-and-execute snippets, secrets, or permission requests appear in the provided excerpt, but the install mechanism is undocumented so risk cannot be fully assessed.

Utility8

Covers 744 venues and 300 packs spanning journal-specific writing, identification strategy, table norms, and reviewer replies, addressing a real and common pain point for empirical researchers.

Maintenance8

Last updated 2026-08-26, not archived, 1105 stars, and an explicit roadmap section indicate an actively maintained project.

Docs6

README is rich in navigation, discipline sections, and cover links, but the install command is listed as unknown and no concrete setup instructions appear in the excerpt.

Generated by AI after reading the project README, as a decision aid; neutral scores are given when information is thin. Not an official endorsement.

PROJECT README项目说明展开Collapse

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VALIDATION LADDER

验证进度

待结构检查

01市场发现Passed

02归类识别Passed

03结构检查Pending

04实机验证Pending

FAQ

Frequently Asked Questions

What is Awesome-Journal-Skills used for?

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, Management World, Economic Research Journal & 200+ more — your fast track to getting published. ｜ Claude Code/Codex jo

How popular is Awesome-Journal-Skills?

Awesome-Journal-Skills has 1,105 stars and 146 forks on GitHub, last updated 2026-08-26.

What license does Awesome-Journal-Skills use?

Awesome-Journal-Skills is distributed under the MIT license.

Is Awesome-Journal-Skills compatible with DeepSeek Harness?

Awesome-Journal-Skills is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.

CLASSIFICATION EVIDENCE