Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
$ npx skills add lamm-mit/scienceclaw --skill paperclip -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw paperclip --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/paperclip .claude/skills/paperclip && 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 "paperclip" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/paperclip into .claude/skills/paperclip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip", 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/paperclipType 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 paperclip -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw paperclip --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/paperclip .agents/skills/paperclip && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paperclip" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/paperclip into .agents/skills/paperclip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip", 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 paperclip -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw paperclip --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/paperclip .cursor/skills/paperclip && 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 "paperclip" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/paperclip into .cursor/skills/paperclip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip", 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/paperclip--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 paperclip -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw paperclip --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/paperclip .gemini/skills/paperclip && 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 "paperclip" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/paperclip into .gemini/skills/paperclip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip", 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 paperclipInstalls 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 paperclip -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/paperclip .github/skills/paperclip && 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 "paperclip" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/paperclip into .github/skills/paperclip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip", 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 paperclip -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 paperclip --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/paperclip .opencode/skills/paperclip && 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 "paperclip" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/paperclip into .opencode/skills/paperclip/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paperclip", 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.
paperclipOnboard and manage Paperclip AI for research-paper knowledge and agent orchestration
Paperclip is an agent skill from lamm-mit/scienceclaw. Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/paperclip.py`).
It sits in Agent Workflows, covering Multi-agent orchestration. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Paperclip loads about 726 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 257 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.
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.
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 257 words, ~726 tokens.
.claude/skills/paperclip/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use Paperclip AI from ScienceClaw to onboard a local Paperclip instance, run health checks, and start the service that provides AI agents with indexed literature and orchestration capabilities.
Paperclip's quickstart command is:
npx paperclipai onboard --yespython3 {baseDir}/scripts/paperclip.py --action check --format jsonpython3 {baseDir}/scripts/paperclip.py --action onboard --format jsonpython3 {baseDir}/scripts/paperclip.py --action onboard --execute --yes --format jsonBy default this detaches the long-running Paperclip server and returns a PID plus a log file.
python3 {baseDir}/scripts/paperclip.py --action doctor --execute --format jsonpython3 {baseDir}/scripts/paperclip.py --action run --execute --format json| Parameter | Description | Default |
|---|---|---|
--action | Operation: check, onboard, doctor, run, or version | check |
--execute | Actually run the Paperclip command; omitted means dry run | false |
--detach | Run long-lived onboard/run commands in the background | true for onboard/run |
--foreground | Keep long-lived commands attached to the current process | false |
--yes | Pass --yes to paperclipai onboard | true |
--run-after-onboard | Pass --run to paperclipai onboard | false |
--repair | Pass --repair to paperclipai doctor | false |
--bind | Optional bind target for onboarding, such as tailnet | - |
--work-dir | Directory where the Paperclip CLI runs | current directory |
--timeout | Command timeout in seconds | 600 |
--wait-seconds | Seconds to watch a detached command before returning | 5 |
--format | Output format: summary or json | summary |
The skill returns a JSON object with:
action: requested operationcommand: command ScienceClaw would run or did runexecuted: whether a command was executedreturncode, stdout, and stderr when executedpid and log_file for detached server runschecks for local Node/npm/npx availabilityonboard --yes uses Paperclip's non-interactive quickstart defaults.© 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
SKILL.md and 1 other file (scripts) in skills/paperclip of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Paperclip 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 |
|---|---|---|---|---|---|---|
| Paperclip this skilllamm-mit/scienceclaw | 244 | — | ~726 | Automated safety check: Pass | Apache-2.0 | |
| Biomarker Multi Agent Discoveryaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | — | ~1.4k | Automated safety check: Pass | MIT-0 | |
| Research Town Guidewentorai/research-plugins | 298 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw | 15k | — | ~923 | Automated safety check: Pass | MIT | |
| AuditleanEthereum/leanSpec | 143 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Running a CraftBot Experimentlukapiskorec/craftbot | 150 | — | ~9.1k | Automated safety check: Pass | Custom licence |
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
A skill your agent uses when orchestrating a multi-agent biomarker discovery workflow that requires coordinating database queries, pathway analysis, literature review, statistical modeling, and…
wentorai/research-plugins
Simulate human research communities with multi-agent AI collaboration
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
leanEthereum/leanSpec
Read-only, multi-agent audit of the leanSpec codebase. An agent skill from leanEthereum/leanSpec.
lukapiskorec/craftbot
Runs the six-agent CraftBot workflow in this specific repository, turning a design brief and references into versioned Blender Python scripts, renders, a rationale and an archived transcript.
code-yeongyu/oh-my-openagent
Runs an exhaustive, team-based research session that stands up cooperating agents, debates findings and delivers a report where every claim has a citation or proof.
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Categories
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration. Paperclip is an agent skill from lamm-mit/scienceclaw.
Paperclip fits situations like: tasks that involve Multi-agent orchestration.
Run `npx skills add lamm-mit/scienceclaw --skill paperclip -a claude-code`. Or copy the skill folder (skills/paperclip in lamm-mit/scienceclaw) into .claude/skills/paperclip in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill paperclip -a codex`. Or copy the skill folder (skills/paperclip in lamm-mit/scienceclaw) into .agents/skills/paperclip in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill paperclip -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paperclip, .gemini/skills/paperclip, .github/skills/paperclip and .opencode/skills/paperclip in your project.
Going by SKILL.md and its folder, Paperclip needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and npx). Our summary lists: Python 3; Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Paperclip 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.
About 726 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Paperclip: Biomarker Multi Agent Discovery (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Research Town Guide (wentorai/research-plugins, 298 stars), MFA Pipeline Orchestrator (aiming-lab/AutoResearchClaw, 15k stars) and Audit (leanEthereum/leanSpec, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 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.
