moltbook-digestCollect Moltbook posts and comments, build an evidence pack, and interpret it through either the calling agent or LiteLLM.
Install via ClawdBot CLI:
clawdbot install mtics/moltbook-digestGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.moltbook.comUses known external API (expected, informational)
api.openai.comAudited Apr 16, 2026 · audit v1.0
Generated May 21, 2026
A developer uses the skill to collect and analyze Moltbook discussions on agent memory architectures, turning posts and comments into an evidence pack and a detailed report. The skill prioritizes public API access over scraping and produces structured output for further processing.
A product manager monitors the 'hot' or 'rising' feed on Moltbook to stay updated on trending topics. The skill collects up to 5 posts with comments and generates a digest, optionally excluding interpretation for quick scanning.
A researcher sets up repeated monitoring of a submolt (e.g., 'agents') using the 'rising' sort and a history directory. The skill collects new posts and comments over time, enabling longitudinal analysis without manual intervention.
An AI agent uses the skill to gather evidence on a query (e.g., 'agent memory governance'), then the calling agent drafts a final report based on the structured handoff files. This allows automated report generation without external APIs.
A developer configures the skill to use LiteLLM with an external provider for interpretation. The script collects evidence and auto-generates a report, useful for teams that prefer a specific language model for analysis.
Offer a tiered subscription service where users can run the skill to digest Moltbook discussions relevant to their industry, receiving regular reports. Revenue comes from monthly or annual fees.
Provide a service that uses the skill to produce tailored reports on Moltbook topics, with human review to ensure quality. Charge per report or retainer for ongoing monitoring.
Embed the skill into a platform for market intelligence or AI development tools, offering it as an add-on feature. Revenue comes from platform subscription upselling or transaction fees.
💬 Integration Tip
To integrate, ensure your system has `uv` installed and configure `config.yaml` with a preferred language and provider settings. The skill outputs structured files that can be ingested by downstream applications.
Scored May 21, 2026
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