Awesome-Journal-Skills
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，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。
No outside reports on file
This skill helps with formatting and strategy but creates risks around data privacy, plagiarism detection, and accidentally producing low-quality work that wastes journal editors' time.
Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (brycewang-stanford/Awesome-Journal-Skills)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/brycewang-stanford/Awesome-Journal-Skills ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-22.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Awesome-Journal-Skills
This is a collection of AI prompts and guidelines designed to help researchers write academic papers for major journals like Nature, Cell, American Economic Review, and over 200 others. It provides templates and strategies for selecting topics, organizing results, formatting tables, and responding to peer review feedback.
Who it’s for
Academic researchers and graduate students who want to use AI tools like Claude to speed up the journal submission process. It's aimed at people writing for economics, management, and life science journals.
Alternatives
- Journal-specific author guidelines (read directly from each journal's website)
- Overleaf templates (community-maintained LaTeX formats for major journals)
- Academic writing assistants like Grammarly or Hemingway Editor (for style, not research strategy)
- Your institution's writing center (human feedback tailored to your field)
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README on GitHub. This appears to be a reference collection rather than an installed package — you would likely download the templates and prompts to use with Claude directly, or integrate them into your Claude workflows manually.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.3k
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Journal impersonation: Templates could be misused to fake submissions or mislead editors about paper origins
- Plagiarism at scale: AI-generated text using these prompts might reuse phrases across many papers in ways that trigger plagiarism detection
- Prompt injection in scraped content: Journal guidelines scraped from websites could be altered to inject malicious instructions into your workflow
- Data exposure: Submitting sensitive research data into Claude while using these prompts means that data reaches Anthropic's servers
- False credibility: Over-relying on these templates might produce papers that pass initial screening but fail peer review or contain research flaws
How to lower the risk
Least-privilege permissions
- Only paste non-confidential paper sections into Claude
- Keep proprietary research data local; never submit it to the AI
Network isolation
- Review all prompts locally before using them
- Don't assume scraped journal guidelines are accurate
Monitoring
- Check your final paper for phrases that appear identical across multiple submissions
- Verify that Claude's suggestions match your field's actual standards
Red flags to watch for
- Templates that encourage hiding your use of AI from journals or reviewers
- Instructions to submit the same paper to multiple journals at once
- Claims that this guarantees acceptance or bypasses peer review
Questions
How do I install Awesome-Journal-Skills?
Awesome-Journal-Skills does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/brycewang-stanford/Awesome-Journal-Skills.
Are there security reports about Awesome-Journal-Skills?
No reports found for this package in our research (last checked 2026-10-30). Awesome-Journal-Skills currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include journal impersonation, plagiarism at scale, prompt injection in scraped content.
Is Awesome-Journal-Skills actively maintained?
Awesome-Journal-Skills has 1.3k GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/brycewang-stanford/Awesome-Journal-Skills before pinning it in production.
What are alternatives to Awesome-Journal-Skills?
Notable alternatives to Awesome-Journal-Skills include Journal-specific author guidelines, Overleaf templates, Academic writing assistants, Your institution's writing center. You can also compare Awesome-Journal-Skills side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use Awesome-Journal-Skills? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/brycewang-stanford-awesome-journal-skills)HTML embed:
<a href="https://agentarmorhq.com/skills/brycewang-stanford-awesome-journal-skills"><img src="https://agentarmorhq.com/api/badge/brycewang-stanford-awesome-journal-skills" alt="AgentArmorHQ Risk Grade for Awesome-Journal-Skills" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "brycewang-stanford-awesome-journal-skills"- Compare Awesome-Journal-Skills →
- Add to a team allowlist
- Claude and terminal guide →
- Download the PDF guide
Share with your security lead
Need sign-off to use Awesome-Journal-Skills? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: Awesome-Journal-Skills
- **Listing URL:** https://agentarmorhq.com/skills/brycewang-stanford-awesome-journal-skills
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.3k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (brycewang-stanford/Awesome-Journal-Skills)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/brycewang-stanford/Awesome-Journal-Skills
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- brycewang-stanford
- Source code
- github.com/brycewang-stanford/Awesome-Journal-Skills
- Est. context load
- ~87 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 1.3k GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-22
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