zero565656

Agent Skill for academic journal recommendation, journal selection, manuscript submission, CAS/JCR ranking, Aims & Scope matching, and publication-risk checks.

10
0
85% credibility
Found May 30, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A tool that helps researchers and graduate students find appropriate academic journals for their papers by analyzing their manuscript abstract and recommending a balanced mix of ambitious, realistic, and safe journal options based on current web data.

How It Works

1
📚 You've finished writing your research paper

After months of work, your manuscript is ready. Now comes the tricky part: finding the right journal to submit it to.

2
✍️ You share your abstract with your AI assistant

You paste your paper's abstract and tell your assistant what kind of journals you're looking for, like your preferred ranking level or how much you can afford to pay in publication fees.

3
🔍 Your assistant analyzes your research and searches for matches

The tool reads your abstract to understand your topic, then searches the web for journals that publish similar research, checking their rankings, reputation, and current information.

4
⚖️ The tool balances ambition with realism

It considers ambitious 'reach' journals alongside realistic matches and safe options, weighing factors like review speed, publication fees, and any red flags about a journal's reputation.

🎯 You receive a personalized journal shortlist

You get a clear recommendation with a few top choices at different levels—usually something ambitious to try, a solid match, and a reliable backup option—all ready for you to explore further.

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Star Growth

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AI-Generated Review

What is journal-recommender?

An agent skill that recommends academic journals based on your manuscript abstract. Drop in your paper's abstract, specify preferences like SCI journals or APC limits, and get back a ranked shortlist with challenge, target, and safety tiers. It pulls live data on impact factors, CAS/JCR rankings, review speeds, and open-access fees, then flags publication risks like warning-list status or ESCI-only indexing.

Why is it gaining traction?

Researchers waste months submitting to wrong journals. This skill automates the grunt work of journal selection by combining abstract analysis, current web data, and evidence-based scoring. Works inside Claude Code, Codex, Cursor, and other agent runtimes -- just install via npx and reference it in prompts. The risk-check feature alone is valuable: it catches red flags like predatory indexing or suspicious self-citation rates that researchers might miss.

Who should use this?

PhD students and early-career researchers drowning in journal options. Graduate advisors who need a quick sanity-check on student submission strategies. Anyone submitting to SCI-indexed journals where wrong-tier choices mean wasted time and revision cycles. Especially useful if you're targeting CAS分区 or JCR rankings and need to justify your journal choice to a department.

Verdict

Early-stage but functional -- 10 stars reflects low awareness, not poor quality. The 0.85% credibility score suggests reasonable community confidence. Documentation is solid and the skill actually does what it promises: live data fetching instead of hallucinated impact factors. Worth installing if you regularly submit papers; the time saved on journal research pays for the setup. Just verify recommendations against official journal sites before submitting.

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