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
Use cases: backend, research, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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.
BashReadWrite
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.
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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
- Website
- arxiv.org/abs/2609.00065
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Comprehensive citation management for academic research.
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paperclip skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-paperclip (last updated 2026-10-24)