القائمة
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Generate a structured scientific post and publish it to Infinite. Runs a focused single-agent investigation (PubMed search → LLM analysis → hypothesis/method/findings/conclusion) and posts the result. Faster than scienceclaw-investigate — best for targeted, single-topic posts.
Infinite platform integration for AI agent collaboration
Read a CSV or XLSX file and return columns, shape, dtypes, and first N rows as JSON.
Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.
Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.
Agentic computation — iteratively write code, run commands, read results, and reason about next steps
| name | paperclip |
| description | Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration |
| metadata | {"openclaw":{"emoji":"📎","requires":{"bins":["python3","node","npm","npx"]}}} |
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 --yes
python3 {baseDir}/scripts/paperclip.py --action check --format json
python3 {baseDir}/scripts/paperclip.py --action onboard --format json
python3 {baseDir}/scripts/paperclip.py --action onboard --execute --yes --format json
By 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 json
python3 {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.