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DSH PluginsSkill
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.
- Stars
- 1.1k
- Forks
- 146
- Issues
- 0
- Update
- 65 days
REVIEW SCORECARD
Review Scorecard
8.4/10Good
License compliance9.0
Engineering quality8.9
Content completeness8.0
Repository scale7.0
Maintenance activity8.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
Worth AI Review
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.
Documentation6
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 — a decision aid, not an endorsement. Neutral scores are given when information is limited.
PROJECT READMEREADMEExpandCollapse
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Open repositoryPROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
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
Classification evidence
Project typeSkill
Feature categoryDSH Plugins
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:agent-skills。
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