Daily Papers
Xiangyue-Zhang/auto-deep-researcher-24x7
Daily arXiv paper recommendations with automatic deduplication
Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion
Install Literature Meta Search
$ npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw literature-meta-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/literature-meta-search .claude/skills/literature-meta-search && rm -rf skills-srcUse ~/.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/
Install the "literature-meta-search" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-search into .claude/skills/literature-meta-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-meta-search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw literature-meta-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/literature-meta-search .agents/skills/literature-meta-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "literature-meta-search" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-search into .agents/skills/literature-meta-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-meta-search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw literature-meta-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/literature-meta-search .cursor/skills/literature-meta-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "literature-meta-search" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-search into .cursor/skills/literature-meta-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-meta-search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/literature-meta-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw literature-meta-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/literature-meta-search .gemini/skills/literature-meta-search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "literature-meta-search" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-search into .gemini/skills/literature-meta-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-meta-search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lamm-mit/scienceclaw literature-meta-searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/literature-meta-search .github/skills/literature-meta-search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "literature-meta-search" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-search into .github/skills/literature-meta-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-meta-search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lamm-mit/scienceclaw literature-meta-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/literature-meta-search .opencode/skills/literature-meta-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "literature-meta-search" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/literature-meta-search into .opencode/skills/literature-meta-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "literature-meta-search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
literature-meta-search- GitHub stars
- 246
- Token cost
- ~646 tokens
- SKILL.md length
- 170 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 86
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion
- Tasks that involve Academic paper search
- SKILL.md covers Usage, Parameters, Sources and Examples, plus 1 more section
- Runs Python scripts from its folder; calls python3; needs SERPAPI_KEY and PINECONE_API_KEY
- Tasks that involve Data cleaning
What it does
Literature Meta Search is an agent skill from lamm-mit/scienceclaw. Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/meta_search.py`).
It sits in Research & Science, covering Academic paper search and Data cleaning. It works with arXiv. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Academic paper search
- Tasks that involve Data cleaning
Example prompts
- “/literature-meta-search”
Requirements
- Python 3
- A credential in SERPAPI_KEY
- A credential in PINECONE_API_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_KEYPINECONE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Literature Meta Search loads about 646 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 170 words of instructions outside code blocks.
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). 170 words, ~646 tokens.
Download SKILL.mdSave it as
.claude/skills/literature-meta-search/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- literature-meta-search
- description
- Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion
Literature Meta-Search
Unified literature search across multiple sources — OSTI, Google Scholar, ArXiv, and the local PDF corpus — with deduplication and reciprocal rank fusion ranking. Returns a single merged result list with an in_corpus flag showing which papers are in the local index.
Usage
Search all sources:
python3 {baseDir}/scripts/meta_search.py --query "lithium extraction brine"Select specific sources:
python3 {baseDir}/scripts/meta_search.py --query "rare earth separation" --sources osti,scholarFilter by year:
python3 {baseDir}/scripts/meta_search.py --query "cobalt supply chain" --year-from 2020 --year-to 2025JSON output:
python3 {baseDir}/scripts/meta_search.py --query "critical minerals policy" --format json --top-n 20Parameters
| Parameter | Description | Default |
|---|---|---|
--query | Search query | Required |
--sources | Comma-separated sources: osti, scholar, arxiv, corpus | osti,scholar,arxiv,corpus |
--year-from | Start year for publication filter | - |
--year-to | End year for publication filter | - |
--top-n | Number of results to return | 15 |
--format | Output format: summary, detailed, json | summary |
Sources
| Source | Type | Auth Required |
|---|---|---|
osti | DOE technical reports | No |
scholar | Google Scholar papers | SERPAPI_KEY |
arxiv | ArXiv preprints | No |
corpus | Local PDF corpus | PINECONE_API_KEY |
Examples
# Multi-source search for battery materials
python3 {baseDir}/scripts/meta_search.py --query "solid state battery electrolyte" --top-n 20
# OSTI + Scholar for policy research
python3 {baseDir}/scripts/meta_search.py --query "critical minerals trade policy" --sources osti,scholar
# Recent arxiv + corpus papers
python3 {baseDir}/scripts/meta_search.py --query "rare earth recycling" --sources arxiv,corpus --year-from 2023Notes
- Uses reciprocal rank fusion to merge results from multiple sources
- Deduplication by fuzzy title matching (>80% similarity)
in_corpusflag indicates which results are in the local PDF index- Sources that fail (e.g., missing API key) are skipped with a warning
- For single-source search, use the individual skill directly
© 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/literature-meta-search of lamm-mit/scienceclaw.
- SKILL.md
- scripts/meta_search.py
Open the folder on GitHubat commit ab9aba1
Compare with similar skills
Literature Meta 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Literature Meta Search this skilllamm-mit/scienceclaw | 246 | — | ~646 | Automated safety check: Pass | Apache-2.0 | |
| Daily PapersXiangyue-Zhang/auto-deep-researcher-24x7 | 1.3k | — | ~309 | Automated safety check: Pass | Apache-2.0 | |
| Read arXiv Paperkarpathy/nanochat | 59k | 1 repos | ~494 | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT |
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Related
Works with
Categories
Questions about Literature Meta Search
What does Literature Meta Search do?
Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion. Literature Meta Search is an agent skill from lamm-mit/scienceclaw.
When should I use Literature Meta Search?
Literature Meta Search fits situations like: tasks that involve Academic paper search; tasks that involve Data cleaning.
How do I install Literature Meta Search in Claude Code?
Run `npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a claude-code`. Or copy the skill folder (skills/literature-meta-search in lamm-mit/scienceclaw) into .claude/skills/literature-meta-search in your project. Claude Code loads it when a task matches its description.
How do I install Literature Meta Search in Codex?
Run `npx skills add lamm-mit/scienceclaw --skill literature-meta-search -a codex`. Or copy the skill folder (skills/literature-meta-search in lamm-mit/scienceclaw) into .agents/skills/literature-meta-search in your project. Codex loads it when a task matches its description.
Can I use Literature Meta 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 literature-meta-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/literature-meta-search, .gemini/skills/literature-meta-search, .github/skills/literature-meta-search and .opencode/skills/literature-meta-search in your project.
What does Literature Meta Search need to run?
Going by SKILL.md and its folder, Literature Meta Search needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named SERPAPI_KEY and PINECONE_API_KEY. Our summary lists: Python 3; A credential in SERPAPI_KEY; A credential in PINECONE_API_KEY.
Does Literature Meta 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 Literature Meta 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 Literature Meta Search use?
Literature Meta 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 Literature Meta Search use?
About 646 tokens (SKILL.md is roughly 2.6k 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 Literature Meta Search?
Skills that share tags, products or a category with Literature Meta Search: Daily Papers (Xiangyue-Zhang/auto-deep-researcher-24x7, 1.3k stars), Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Literature Meta Search?
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 246 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.