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Research51k · #1926

paperclip

Searches and reads biomedical and health documents. It looks for information in papers, FDA documents, and clinical trials, extracting key data.

What it does

GXL Paperclip is a tool that searches and reads scientific documents like papers, FDA reports, and clinical trial results. It allows you to find specific information within these documents.

When to use it

  • ✓When you need to find papers on a specific topic.
  • ✓When you want to search for exact terms within scientific documents.
  • ✓When you need to extract information from multiple papers.

Example of what to ask your AI

“Find papers about CRISPR gene editing and show me the top 5.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/paperclip/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/skills/paperclip/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

You tell Paperclip what to look for and where to search (e.g., in PubMed articles). It then finds the documents and lets you read or extract specific information from them.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add K-Dense-AI/scientific-agent-skills --skill paperclip

Or download just the file:

curl -L https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/paperclip/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Paperclip CLI

Paperclip by GXL exposes scientific documents through a virtual filesystem and server-side search and readers. This is GXL Paperclip at paperclip.gxl.ai, not the unrelated Paperclip agent-company application. Use the source requested by the user; other providers have their own skills.

This revision checks official docs, the public API schema, and installed CLI/SDK 0.7.92. Local help, SDK request construction, and public metadata were checked. Authenticated retrieval, LLM readers, uploads, and repository mutations were not run during this review; their examples are illustrative. Server behavior can change independently of the CLI version.

Preflight and authentication

command -v paperclip
paperclip --version
paperclip --help

If installed, use the existing account or a key configured privately at https://paperclip.gxl.ai/keys. Do not ask for a key in chat or print credential files. Paperclip does not automatically load a project .env. If the user has supplied a trusted, shell-compatible .env, export it in the same shell invocation as the command:

if [ -f .env ]; then
  set -a
  . ./.env
  set +a
fi
paperclip config 2>&1 | grep -E 'Auth:|Health:'

Sourcing .env executes shell code: use only a trusted file, and keep it out of Git. Repeat the export when a tool starts a fresh shell; an already-exported environment needs no prefix. A bearer token can take precedence over an API key, and absent environment credentials may fall back to a stored OAuth identity. Check the intended account rather than assuming any OAuth login is wrong. Auth reports credential presence; Health probes public reachability. Neither proves the credential is valid. Check authentication on the next task-authorized request.

Use browser paperclip login when the user is available to complete sign-in. Installation and paperclip install also contain prompts; see installation.md. Do not run update, uninstall, account changes, or uploads merely to test documentation.

Choose the retrieval operation

Goal Command Interpretation
Papers about a topic search -s pmc "..." -n 5 Ranked discovery; summaries are triage
Exact terms in full text grep "TP53" /papers/ May be time- or match-limited
Known DOI/PMID lookup doi 10.1073/pnas.2307796121 Resolve identity before reading
Counts and metadata sql "SELECT ..." Metadata aggregation, not body-text search
Methodological analogues search -s arxiv --ranking analogical "..." Describe the method or problem in full sentences
The same fields across papers map --from s_ID "..." LLM extraction; verify material evidence

Always pass a source or virtual directory to search. Comma-separated sources work, but separate targeted queries are easier to interpret when mixing papers, trials, and regulatory evidence. Use paperclip skill proteins before protein queries and paperclip skill patents before patents.

Find, read, and cite

paperclip search -s pmc "CRISPR base editing delivery" -n 5
paperclip cat /papers/PMC10945750/meta.json
paperclip head -40 /papers/PMC10945750/content.lines
paperclip ls /papers/PMC10945750/sections/
paperclip grep -n "lipid nanoparticle" /papers/PMC10945750/content.lines
paperclip scan /papers/PMC10945750/content.lines "IC50" "off-target" "efficiency"

Capture the returned result ID; do not reuse the illustrative IDs in this skill. s_ IDs identify saved search/grep/filter cohorts, m_ map runs, and r_ reduce artifacts. Recover recent IDs with paperclip results --list. Terminal output can be a truncated preview, so use saved results or SDK result.papers for structured hits, not a regex over rendered paper titles. See search-and-retrieval.md and python-sdk.md.

Use absolute virtual paths. Prefer head, sections, grep, and scan to dumping a whole paper. A failed read or empty, bounded grep result does not establish scientific absence.

Multi-paper extraction

paperclip search -s pmc "lipid nanoparticle mRNA delivery" -n 5
# Substitute the actual search ID below.
paperclip filter --from s_ID "in vivo delivery with quantified efficiency"
paperclip map --from s_ID "Report delivery vector, target cell type, efficiency, and supporting lines. State 'not reported' when absent."
paperclip results m_ID --save map.txt

…
FAQ

How do I install Paperclip?

You can install Paperclip using the command `paperclip install`. For more details, refer to the installation documentation.

How do I authenticate with Paperclip?

You can authenticate using `paperclip login` if you are available to interact with the browser, or by setting up your API keys at `https://paperclip.gxl.ai/keys`. Never share your credentials.

What are 's_IDs', 'm_IDs', and 'r_IDs'?

These are identifiers for your search results. 's_IDs' are for saved searches, 'm_IDs' for data extractions (map), and 'r_IDs' for processing results (reduce). You can list recent results with `paperclip results --list`.

Details

Original description by the author

Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK. Supports source-scoped search, full-text grep, metadata SQL, map/reduce extraction, figure analysis, optional repositories and claim verification, and line-pinned citations. Use when a task names GXL paperclip, asks to install or authenticate it, or requests

repo: K-Dense-AI/scientific-agent-skills

Popularity

GitHub stars
51k
Ranking position
#1926
License
MIT
Updated
10/15/2026

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