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paperclip

Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK.

Skill by K-Dense-AI

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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/k-dense-ai-paperclip

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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 literature retrieval and evidence extraction through Paperclip.

Use cases: backend, research, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/paperclip

Tools it pre-approves 3

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Bash
  • Read
  • Write

What's inside

Skill name
paperclip
Description
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 literature retrieval and evidence extraction through Paperclip.
License
MIT
Compatibility
Requires network access and the GXL paperclip CLI. The macOS/Linux installer requires Python 3.8+ plus curl or wget; it installs a Python launcher and private library, not an interpreter. Use PAPERCLIP_API_KEY or existing browser-login credentials. Hosted MCP is available without local CLI installation. Reviewed against CLI/SDK 0.7.92.
Allowed tools
Bash, Read, Write
Metadata
version: 1.5 · skill-author: K-Dense Inc. · last-reviewed: 2026-09-30 · upstream-version: 0.7.92
Instructions
218 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves any shell command

Files (7)

  • SKILL.md
  • cli-reference.md · references/
  • installation.md · references/
  • map-reduce.md · references/
  • python-sdk.md · references/
  • repos-and-workspace.md · references/
  • search-and-retrieval.md · references/

SKILL.md (first lines)

# 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

```bash
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:

```bash
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](references/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

```bash
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](references/search-and-retrieval.md) and
[python-sdk.md](references/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

```bash
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
```

`filter` modifies its saved cohort in place. Save the original search separately if it must remain
reproducible. Start with 3–10 papers; readers incur service work and quota. Use Draft 2020-12 JSON
Schema through `--output-schema` when exact fields matter. For a persistent Paperclip extraction
dataset, inspect `paperclip routines show paperclip-data-extraction` and the current extraction
workflow before creating it. A returned routine does not authorize extra persistence or sharing.

`reduce --from m_ID --strategy table "Compare the results"` requests a table, but validate the actual
output and construct the final table from verified map results when necessary. Map/reduce are LLM
outputs, not primary evidence. Read the relevant source lines for material quantitative claims and
quotes; verify document IDs and line pins rather than trusting generated citation markers.
See [map-reduce.md](references/map-reduce.md).

### Regulatory, trial, and figure reads

```bash
paperclip search -s fda "pembrolizumab accelerated approval" -n 5
paperclip search -s trials/us "HER2 breast cancer trastuzumab deruxtecan" -n 5
paperclip cat /trials/NCT04752059/meta.json
paperclip ls /papers/PMC10945750/figures/
# Use the actual filename returned by ls.
paperclip ask-image /papers/PMC10945750/figures/pnas.2307796121fig01.jpg "What is plotted on each axis?"
```

Figure names are publisher-specific. Vision-derived numbers are estimates; prefer reported text
or supplementary data. Do not obtain image bytes with `cat` redirected to a local image file:
the SDK transport is textual, and `pull()` does not itself write binary data to disk.

## Virtual filesystem

From K-Dense-AI/scientific-agent-skills, MIT.

More from K-Dense-AI/scientific-agent-skills

Signals

Stars
54,411
Forks
4,797
Open issues
8
Last commit (this folder)
Oct 1, 2026 (1 month ago)
Last release
Oct 1, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.5
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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paperclip skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-paperclip (last updated 2026-10-24)