A skill your agent uses when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals.

Custom licenceAuto-check passed

Install Journal Selection

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill journal-selection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills journal-selection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/60-regisely-superpapers/skills/journal-selection .claude/skills/journal-selection && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
journal-selection
GitHub stars
4.5k
Token cost
~1.2k tokens
SKILL.md length
505 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals.

  • Works in 7 steps: Identify the paper's field and… → Search journals via web search — do not… → Verify each candidate via web fetch on… → …
  • Choosing a target journal for a paper
  • SKILL.md covers Overview, When to Use, Mandatory Steps and Output Example, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Journal Selection is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals. Field-agnostic — detects the paper's research area and suggests appropriate outlets across tiers.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Choosing a target journal for a paper
  • Comparing journal rankings
  • Asking where should I submit this
  • Building a submission strategy across multiple journals

Example prompts

  • “where should I submit this”
  • “/journal-selection”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify the paper's field and contribution level from the abstract, topic, and the user's stated ambition. The field determines which…
  2. Search journals via web search — do not use a static list or cached knowledge. Journal scopes, rankings, and editorial boards change.
  3. Verify each candidate via web fetch on the journal's official homepage. Confirm it is still active, currently accepting submissions, and…
  4. Check rankings appropriate to the user's context
  5. Present 5-8 options in a markdown table with columns
  6. Mix tiers: 1-2 ambitious targets, 3-4 realistic, 1-2 safety options. The strategy matters more than individual choices — a submission plan…
  7. Include regional and national journals when relevant. If the user is Brazilian or the paper targets a Brazilian audience, include strong…

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Journal Selection loads about 1.2k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 505 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 505 words (~1,185 tokens).

“This skill helps select target journals for a paper based on current web information. It does not maintain a static journal database — journal scopes, rankings, and editorial direction change, and stale data gives bad advice. Instead, every recommendation is…”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
journal-selection

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/60-regisely-superpapers/skills/journal-selection of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Journal Selection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Journal Selection this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.2kAutomated safety check: PassCustom licence
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Compare Python TypecheckersJetBrains/intellij-community21k—~617Automated safety check: PassCustom licence
Recipe Compare Sheet Tabsgoogleworkspace/cli31k—~182Automated safety check: PassApache-2.0
Comparetaishi-i/awesome-japanese-nlp-resources1k1 repos~4.1kAutomated safety check: NotesCC0-1.0
Nemoclaw Maintainer PR ComparatorNVIDIA/NemoClaw23k—~1.8kAutomated safety check: PassApache-2.0

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Questions about Journal Selection

What does Journal Selection do?

A skill your agent uses when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals. Journal Selection is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when choosing a target journal for a paper, comparing journal rankings, asking "where should I submit this", or building a submission strategy across multiple journals.

When should I use Journal Selection?

Journal Selection fits situations like: choosing a target journal for a paper; comparing journal rankings; asking where should I submit this; building a submission strategy across multiple journals.

How do I install Journal Selection in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill journal-selection -a claude-code`. Or copy the skill folder (skills/60-regisely-superpapers/skills/journal-selection in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/journal-selection in your project. Claude Code loads it when a task matches its description.

How do I install Journal Selection in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill journal-selection -a codex`. Or copy the skill folder (skills/60-regisely-superpapers/skills/journal-selection in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/journal-selection in your project. Codex loads it when a task matches its description.

Can I use Journal Selection in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill journal-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/journal-selection, .gemini/skills/journal-selection, .github/skills/journal-selection and .opencode/skills/journal-selection in your project.

What does Journal Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Journal Selection is instructions for the agent only.

Does Journal Selection access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Journal Selection safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Journal Selection use?

Journal Selection has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Journal Selection use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Journal Selection?

Skills that share tags, products or a category with Journal Selection: Geo Compare (sickn33/agentic-awesome-skills, 47k stars), Compare Python Typecheckers (JetBrains/intellij-community, 21k stars), Recipe Compare Sheet Tabs (googleworkspace/cli, 31k stars) and Compare (taishi-i/awesome-japanese-nlp-resources, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Journal Selection?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.