Agent skill

Scholar Search

by lamm-mit in lamm-mit/scienceclaw

Search Google Scholar via SerpAPI for academic papers on critical minerals with citation counts and metadata

Apache-2.0Auto-check passedResearch & Science

Install Scholar Search

skills CLI
$ npx skills add lamm-mit/scienceclaw --skill scholar-search -a claude-code

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

GitHub CLI
$ gh skill install lamm-mit/scienceclaw scholar-search --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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scholar-search .claude/skills/scholar-search && 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
scholar-search
GitHub stars
244
Token cost
~615 tokens
SKILL.md length
130 words
Files
2 (incl. scripts)
Skills in repo
86
Repo updated
First seen
Licence
Apache-2.0

At a glance

Search Google Scholar via SerpAPI for academic papers on critical minerals with citation counts and metadata

  • Tasks that involve Academic paper search
  • SKILL.md covers Usage, Parameters, Examples and Notes
  • Runs Python scripts from its folder; calls python3; needs SERPAPI_KEY
  • Tasks that involve Citation management

What it does

Scholar Search is an agent skill from lamm-mit/scienceclaw. Search Google Scholar via SerpAPI for academic papers on critical minerals with citation counts and metadata

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/scholar_search.py`).

It sits in Research & Science, covering Academic paper search and Citation management. It works with SerpApi. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Academic paper search
  • Tasks that involve Citation management

Example prompts

  • “/scholar-search”

Requirements

  • Python 3
  • A credential in SERPAPI_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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 these keys or tokens, usually read from environment variables:

    • SERPAPI_KEY

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

Context cost

Scholar Search loads about 615 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 130 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~615

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); the scripts in this folder are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 130 words, ~615 tokens.

Download SKILL.mdSave it as .claude/skills/scholar-search/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
scholar-search
description
Search Google Scholar via SerpAPI for academic papers on critical minerals with citation counts and metadata

Search Google Scholar via SerpAPI for academic papers, conference proceedings, and theses. Returns titles, authors, venues, citation counts, and links. Useful for finding recent research on critical minerals, supply chains, extraction methods, and materials science.

Usage

bash
python3 {baseDir}/scripts/scholar_search.py --query "lithium extraction brine"
Filter by year range:
bash
python3 {baseDir}/scripts/scholar_search.py --query "rare earth separation" --year-from 2020 --year-to 2025
Sort by citations:
bash
python3 {baseDir}/scripts/scholar_search.py --query "cobalt supply chain" --sort-by citations
JSON output:
bash
python3 {baseDir}/scripts/scholar_search.py --query "critical minerals policy" --format json --num-results 15

Parameters

ParameterDescriptionDefault
--querySearch queryRequired
--year-fromStart year for publication filter-
--year-toEnd year for publication filter-
--num-resultsNumber of results to return (max 20)10
--sort-bySort order: relevance, citationsrelevance
--formatOutput format: summary, detailed, jsonsummary

Examples

bash
# Recent papers on lithium recycling
python3 {baseDir}/scripts/scholar_search.py --query "lithium-ion battery recycling" --year-from 2022

# Most cited papers on rare earth processing
python3 {baseDir}/scripts/scholar_search.py --query "rare earth element processing" --sort-by citations --num-results 15

# Critical minerals policy research
python3 {baseDir}/scripts/scholar_search.py --query "critical minerals supply chain policy" --format detailed

# Cobalt extraction techniques in JSON
python3 {baseDir}/scripts/scholar_search.py --query "cobalt extraction hydrometallurgy" --format json

Notes

  • Requires SERPAPI_KEY environment variable
  • Google Scholar results include citation counts for impact assessment
  • Maximum 20 results per query (SerpAPI limitation)
  • For DOE-specific research, use the osti-database skill instead
  • For local corpus search, use the corpus-search skill

© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in skills/scholar-search of lamm-mit/scienceclaw.

  • SKILL.md
  • scripts/scholar_search.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Scholar Search 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.

Scholar Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scholar Search this skilllamm-mit/scienceclaw244—~615Automated safety check: PassApache-2.0
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73812 repos~3.7kAutomated safety check: PassMIT
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT

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Works with

Questions about Scholar Search

What does Scholar Search do?

Search Google Scholar via SerpAPI for academic papers on critical minerals with citation counts and metadata. Scholar Search is an agent skill from lamm-mit/scienceclaw.

When should I use Scholar Search?

Scholar Search fits situations like: tasks that involve Academic paper search; tasks that involve Citation management.

How do I install Scholar Search in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill scholar-search -a claude-code`. Or copy the skill folder (skills/scholar-search in lamm-mit/scienceclaw) into .claude/skills/scholar-search in your project. Claude Code loads it when a task matches its description.

How do I install Scholar Search in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill scholar-search -a codex`. Or copy the skill folder (skills/scholar-search in lamm-mit/scienceclaw) into .agents/skills/scholar-search in your project. Codex loads it when a task matches its description.

Can I use Scholar Search 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 lamm-mit/scienceclaw --skill scholar-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholar-search, .gemini/skills/scholar-search, .github/skills/scholar-search and .opencode/skills/scholar-search in your project.

What does Scholar Search need to run?

Going by SKILL.md and its folder, Scholar Search needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named SERPAPI_KEY. Our summary lists: Python 3; A credential in SERPAPI_KEY.

Does Scholar Search 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 Scholar Search 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scholar Search use?

Scholar Search is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scholar Search use?

About 615 tokens (SKILL.md is roughly 2.5k 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 Scholar Search?

Skills that share tags, products or a category with Scholar Search: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 738 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scholar Search?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.

Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.