A robust skill for managing Instapaper bookmarks, highlights, and folders via the command line with structured data output.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install instapaper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install instapaper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill enables developers and power users to interface with Instapaper directly through the ip CLI tool. It facilitates seamless authentication, listing, exporting, and importing of bookmarks, making it an essential component for any automated reading workflow within the Openclaw Skills ecosystem. By providing a bridge between the command line and Instapaper's API, it allows for sophisticated data manipulation and synchronization without needing a browser.
To get started with this skill, you must first install the CLI tool using one of the following methods:
# Via Go
go install github.com/vburojevic/instapaper-cli/cmd/ip@latest
# Via Homebrew
brew tap vburojevic/tap && brew install instapaper-cli
Next, ensure your environment is configured by setting the INSTAPAPER_CONSUMER_KEY and INSTAPAPER_CONSUMER_SECRET environment variables. This setup is vital for Openclaw Skills to communicate effectively with the Instapaper API.
The skill prioritizes structured data for automation, supporting several output formats to integrate with various workflows. Data can be organized according to the following schema:
| Format | Description | Best Use Case |
|---|---|---|
| --ndjson | Newline Delimited JSON | Streaming large datasets and logs |
| --json | Standard JSON Array | Single object retrieval or compact data |
| --plain | Tab-separated values | Stable, line-oriented text for shell scripts |
| --stderr-json | Error objects | Reliable automation error handling |
Loading
A trust-based middleware for AI agents to authorize, throttle, or block outgoing payments based on counterparty risk and custom spend policies.

A dedicated command-line interface for searching, installing, and publishing agent capabilities within the Openclaw ecosystem.

A privacy-conscious AI coach that transforms fitness app screenshots into evidence-based training, nutrition, and recovery protocols.

A persistent structured memory engine that enables AI agents to retain, deduplicate, and recall beliefs across sessions.

A high-performance weather skill providing real-time atmospheric data and multi-day forecasts via Open-Meteo and wttr.in without requiring API keys.

An automated research tool that fetches, aggregates, and synthesizes peer reviews from OpenReview into structured analytical reports.








































