VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions.

Custom licenceAuto-check passedResearch & Science

Install G1

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g1 -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills g1 --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/25-HosungYou-Diverga/skills/g1 .claude/skills/g1 && 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
g1
GitHub stars
4.6k
Token cost
~3.7k tokens
SKILL.md length
786 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions.

  • Works in 5 steps: Scope Matching (MCP-enhanced) → Impact Analysis (MCP-enhanced) → Practical Information → …
  • : selecting target journals
  • SKILL.md covers Overview, MCP Prerequisites, Pipeline Flow and Checkpoints, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

G1 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions. Uses OpenAlex + Crossref APIs for live metrics. Light VS applied: Avoids IF-centric recommendations + multi-dimensional matching strategy Use when: selecting target journals, planning submissions, comparing publication options Triggers: journal, submission, impact factor, academic journal, publication, submit

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Academic paper search, MCP servers and Data pipelines and ETL. It works with Model Context Protocol. 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

  • : selecting target journals
  • Planning submissions
  • Comparing publication options Triggers: journal
  • Academic journal

Example prompts

  • “/g1”

Workflow steps

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

  1. Scope Matching (MCP-enhanced)
  2. Impact Analysis (MCP-enhanced)
  3. Practical Information
  4. OA Policy (MCP-enhanced)
  5. Submission Strategy (MCP-enhanced)

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 yaml and markdown).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.openalex.org
    • api.crossref.org

    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

G1 loads about 3.7k tokens when it runs. Until then it costs about 111 tokens; SKILL.md has 786 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~111
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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 786 words (~3,660 tokens).

“Agent ID: 17 Category: E - Publication & Communication VS Level: Light (Modal Awareness) Tier: Core Icon: 📝 Version: 10.0.0”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
g1
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/g1 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

G1 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.

G1 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
G1 this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~3.7kAutomated safety check: PassCustom licence
Bgpt MCPClawBio/ClawBio1.2k1 repos~3.2kAutomated safety check: PassMIT
Bgpt Paper Searchagent-skills-hub/agent-skills-hub1123 repos~715Automated safety check: NotesMIT
Serply Search MCPsickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0
Bgpt Paper SearchK-Dense-AI/scientific-agent-skills48k1 repos~2kAutomated safety check: PassMIT

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Questions about G1

What does G1 do?

VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions. G1 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions.

When should I use G1?

G1 fits situations like: : selecting target journals; planning submissions; comparing publication options Triggers: journal; academic journal.

How do I install G1 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g1 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/g1 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/g1 in your project. Claude Code loads it when a task matches its description.

How do I install G1 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill g1 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/g1 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/g1 in your project. Codex loads it when a task matches its description.

Can I use G1 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 g1 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/g1, .gemini/skills/g1, .github/skills/g1 and .opencode/skills/g1 in your project.

What does G1 need to run?

SKILL.md names no scripts, command-line tools or credentials: G1 is instructions for the agent only.

Does G1 access the network?

SKILL.md names 2 domains. As links in the text: docs.openalex.org and api.crossref.org. This is read from the text; nothing was executed.

Is G1 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 G1 use?

G1 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 G1 use?

About 3.7k tokens (SKILL.md is roughly 15k 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 G1?

Skills that share tags, products or a category with G1: Bgpt MCP (ClawBio/ClawBio, 1.2k stars), Bgpt Paper Search (agent-skills-hub/agent-skills-hub, 112 stars), Serply Search MCP (sickn33/agentic-awesome-skills, 47k stars) and Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains G1?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 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.