mastodon-scout

What This Skill Does

The mastodon-scout skill is a specialized, read-only command-line interface for the Mastodon federated social network. It is designed to act as an bridge between your OpenClaw agent and the Mastodon API, allowing you to fetch and interpret timeline data, mentions, and user posts without leaving your terminal environment. By utilizing this skill, you can effectively monitor your social streams, perform keyword-based searches, and process raw API data directly within your AI-assisted workflow. The tool supports both human-readable text summaries for quick glances and raw JSON output for advanced data parsing, making it a versatile utility for developers and power users alike.

Installation

To integrate mastodon-scout into your environment, use the OpenClaw package manager: clawhub install openclaw/skills/skills/patelhiren/mastodon-scout

Once installed, you must provide authentication by setting the MASTODON_TOKEN environment variable. This token acts as your OAuth bearer credential, granting the skill read-only access to your account data. If you are unsure how to generate a token, consult your specific Mastodon instance's developer settings page under 'Applications'.

Use Cases

• Efficient Monitoring: Quickly summarize your home timeline to catch up on updates without navigating web interfaces.
• Content Aggregation: Programmatically fetch your latest posts or mentions to display in dashboards or log files.
• Research: Use the search functionality to perform ad-hoc discovery on topics across the Fediverse.
• Data Pipelines: Stream raw JSON data into downstream processing tools or local files for archival purposes.

Example Prompts

• "Can you check my Mastodon timeline and summarize the top three interesting posts?"
• "Search Mastodon for 'OpenClaw' and show me the most recent results."
• "Get my latest Mastodon mentions and format the output as raw JSON."

Tips & Limitations

• Read-Only: Note that this skill is strictly for data retrieval. It cannot post, follow, mute, or block users.
• Performance: For large datasets, use the --limit flag to prevent unnecessary data retrieval and keep latency low.
• Debugging: If the skill fails, ensure your MASTODON_TOKEN is correctly scoped and valid. Use --json when you encounter issues to see the raw API error response, which can help diagnose authentication or rate-limiting problems.